content stringlengths 85 101k | title stringlengths 0 150 | question stringlengths 15 48k | answers list | answers_scores list | non_answers list | non_answers_scores list | tags list | name stringlengths 35 137 |
|---|---|---|---|---|---|---|---|---|
Q:
How do I pass a frame read from a camera using opencv from a python script to another python script?
I'm trying to pass a frame read from a camera using opencv as an argument to another python script but I cannot get it to work.
Running the following script stores a camera frame on my network every 5 seconds:
#!/... | How do I pass a frame read from a camera using opencv from a python script to another python script? | I'm trying to pass a frame read from a camera using opencv as an argument to another python script but I cannot get it to work.
Running the following script stores a camera frame on my network every 5 seconds:
#!/usr/bin/python
import cv2
import threading
import subprocess
import time
import datetime
def camera():
... | [
"There seem to be a couple of misconceptions here that are leading things astray...\n\nYou can't sensibly pass images (i.e. their complete pixel data) as command-line arguments/parameters. They are generally too long and may contain nulls.\n\nIt is grossly inefficient to think about writing an image for every frame... | [
1,
0
] | [] | [] | [
"opencv",
"python"
] | stackoverflow_0074289912_opencv_python.txt |
Q:
Way to control for child nodes in element which is given after xpath using lxml
I trid the following sample code in my pc
from bs4 import BeautifulSoup
from lxml import etree, html
import requests
URL = "https://en.wikipedia.org/wiki/Nike,_Inc."
HEADERS = ({'User-Agent':
'M... | Way to control for child nodes in element which is given after xpath using lxml | I trid the following sample code in my pc
from bs4 import BeautifulSoup
from lxml import etree, html
import requests
URL = "https://en.wikipedia.org/wiki/Nike,_Inc."
HEADERS = ({'User-Agent':
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 \
(KHTML, like Geck... | [
"Awesome, I found find parameter is supporting xpath\nfor example, I can get thumbnail and title from element by the following code\nelement.find('.//img').get('src')\n\nelement.find('.//div[@class=\"newsFeed_item_title\"]').text\n\nNote: find is return first element\nhttps://lxml.de/api/lxml.etree._Element-class.h... | [
0,
0
] | [] | [] | [
"lxml",
"python",
"xpath"
] | stackoverflow_0074284785_lxml_python_xpath.txt |
Q:
collecting CLI usage data with python click
I'm a platform engineer building a python CLI app (using click) that teams in the same company could use to launch data processing jobs on our internally managed cluster.
I want to build a functionality to collect usage data i.e., record the commands submitted to the app... | collecting CLI usage data with python click | I'm a platform engineer building a python CLI app (using click) that teams in the same company could use to launch data processing jobs on our internally managed cluster.
I want to build a functionality to collect usage data i.e., record the commands submitted to the app and store them in a database.
Something like thi... | [
"No matter if you use click or typer or argparse or nothing at all, you can find the whole command line in sys.argv.\nFor a click.group() app, you could store the command line in the group callback:\nimport click\nimport sys\n\n@click.group()\n@click.option(\"--environment\", help=\"cluster to use\")\ndef app():\n ... | [
2
] | [] | [] | [
"command_line_interface",
"logging",
"python"
] | stackoverflow_0074294849_command_line_interface_logging_python.txt |
Q:
How do i plot a normal distrubution with this graph, python/matplotlib
I can't find out how to plot a normal distribution for the blue bar-plot in this graph.
The y-axis is made out of an list like this: [0,0,1,34,.....,34,2,0,0]
And the x-axis is just: np.arrange(len(list_above))
I'very tried several things but a... | How do i plot a normal distrubution with this graph, python/matplotlib | I can't find out how to plot a normal distribution for the blue bar-plot in this graph.
The y-axis is made out of an list like this: [0,0,1,34,.....,34,2,0,0]
And the x-axis is just: np.arrange(len(list_above))
I'very tried several things but all created one vertical line.
So how can i plot a normal distribution for th... | [
"use matplotlib.pyplot and from scipy.stats import norm\nplt.plot(dataset,norm.pdf(dataset,mean of dataset,std of dataset)\n"
] | [
0
] | [] | [] | [
"matplotlib",
"python"
] | stackoverflow_0043158709_matplotlib_python.txt |
Q:
How to visit multiple links with selenium
i'm trying to visit multiple links from one page, and then go back to the same page.
links = driver.find_elements(By.CSS_SELECTOR,'a')
for link in links:
link.click() # visit page
# scrape page
driver.back() # get back to previous page, and click the n... | How to visit multiple links with selenium | i'm trying to visit multiple links from one page, and then go back to the same page.
links = driver.find_elements(By.CSS_SELECTOR,'a')
for link in links:
link.click() # visit page
# scrape page
driver.back() # get back to previous page, and click the next link in next iteration
The code says it al... | [
"The logic in your code should work, however you might want to add a sleep in between certain actions, it makes a difference when scraping.\nimport time\n\nand then add time.sleep(seconds) where it matters.\n",
"By navigating to another page all collected by selenium web elements (they are actually references to ... | [
0,
0
] | [] | [] | [
"python",
"selenium",
"selenium_webdriver",
"staleelementreferenceexception",
"web_scraping"
] | stackoverflow_0074299423_python_selenium_selenium_webdriver_staleelementreferenceexception_web_scraping.txt |
Q:
Coinbase trouble| Error 401 AuthenticationError
from coinbase.wallet.client import Client
api_key = ""
api_secret = ""
client = Client(api_key, api_secret)
print(client.get_accounts())
The simple example, but I get
coinbase.wallet.error.AuthenticationError: APIError(id=authentication_error): request timestamp ex... | Coinbase trouble| Error 401 AuthenticationError | from coinbase.wallet.client import Client
api_key = ""
api_secret = ""
client = Client(api_key, api_secret)
print(client.get_accounts())
The simple example, but I get
coinbase.wallet.error.AuthenticationError: APIError(id=authentication_error): request timestamp expired
| [
"You need to change the server timezone to coinbase.com timeZone it is comparing the time from our server and coinbase server so try to put -08:00 timeZone . For me it is working if I do these changes.\nif not you can run this script\nhttps://gist.github.com/siddieswar/0adefee80292ae8e3055fdfdddab4180\n"
] | [
0
] | [] | [] | [
"coinbase_api",
"python"
] | stackoverflow_0061364978_coinbase_api_python.txt |
Q:
django-admin startproject myworld cannot work on mac
I am learning django but stuck at beginning of start project as below in terminal:
kevinlin@kevindeMacBook-Pro ~ % django-admin startproject myworld
kevinlin@kevindeMacBook-Pro ~ %
I have installed python but version 2.7 shown on terminal, 3.10 version shown on ... | django-admin startproject myworld cannot work on mac | I am learning django but stuck at beginning of start project as below in terminal:
kevinlin@kevindeMacBook-Pro ~ % django-admin startproject myworld
kevinlin@kevindeMacBook-Pro ~ %
I have installed python but version 2.7 shown on terminal, 3.10 version shown on python shell. I am wondering if the issue is caused by run... | [
"The python version is shown is the globally installed python in Mac. Before running the python commands activate the virtualenv.\nCreating virtual env:\npython3 -m venv tutorial-env\n\nActivating virtualenv:\nsource tutorial-env/bin/activate\n\nCheck the python version after that:\npython --version\n\nhttps://docs... | [
0
] | [] | [] | [
"backend",
"django",
"pip",
"python",
"virtualenv"
] | stackoverflow_0074298980_backend_django_pip_python_virtualenv.txt |
Q:
How can I make it with this structure?
#li = [1,1,2,2,4,4,4,7,5,5]
#dict_index = [1,2,3,4,5,6,7,8,9,10]
to make this▽
make_dict = {1:[2],2:[3,4],3:[x],4:[5,6,7],5:[9,10],6:[x],7:[8],8:[x],9:[x],10:[x]}
I want to make a "make_dict" like the one below by referring to "li" and "dict_index"...
It seems like a tree ... | How can I make it with this structure? | #li = [1,1,2,2,4,4,4,7,5,5]
#dict_index = [1,2,3,4,5,6,7,8,9,10]
to make this▽
make_dict = {1:[2],2:[3,4],3:[x],4:[5,6,7],5:[9,10],6:[x],7:[8],8:[x],9:[x],10:[x]}
I want to make a "make_dict" like the one below by referring to "li" and "dict_index"...
It seems like a tree of data structures.
How can I solve this..... | [
"You can zip li and dict_index, iterate through the parent-child pairs, and append child to the sub-list under the parent key. Initialize non-existing keys with the dict.setdefault method:\ntree = {}\nfor parent, child in zip(li, dict_index):\n if parent != child:\n tree.setdefault(parent, []).append(chil... | [
2,
1
] | [] | [] | [
"python",
"python_3.x",
"tree"
] | stackoverflow_0074299282_python_python_3.x_tree.txt |
Q:
Python Cookie Cutter - Conditional Code Block?
Is it possible do some sort of conditional code block depending on the variable(s) set? I am trying to templatize a project which has some yaml configuration files. I would like a section of the yaml configuration to be optional though, but I do not know if there is a... | Python Cookie Cutter - Conditional Code Block? | Is it possible do some sort of conditional code block depending on the variable(s) set? I am trying to templatize a project which has some yaml configuration files. I would like a section of the yaml configuration to be optional though, but I do not know if there is a way to do this using cookiecutter. I do know that c... | [
"This is not really cookiecutter's functionality but rather Jinja2's one.\nTake a look at this part of it's documentation.\nSo your code should look similar to this one:\n{{ cookiecutter.pipeline_name }}:\n models:\n {{ cookiecutter.model_name }}:\n inference:\n instance_type: {{ cookiecutter.instan... | [
1
] | [] | [] | [
"cookiecutter",
"python",
"templates"
] | stackoverflow_0074104653_cookiecutter_python_templates.txt |
Q:
Can`t run `manage.py test` in Django: django.db.utils.OperationalError
I`m trying to run some auto-tests in Django framework 4.0.4 by command
python manage.py test test.to.run
Also at the start it gets notification:
RuntimeWarning: Normally Django will use a connection to the 'postgres' database to avoid running ... | Can`t run `manage.py test` in Django: django.db.utils.OperationalError | I`m trying to run some auto-tests in Django framework 4.0.4 by command
python manage.py test test.to.run
Also at the start it gets notification:
RuntimeWarning: Normally Django will use a connection to the 'postgres' database to avoid running initialization queries against the production database when it's not needed ... | [
"It was necessary to add a connection to my machine in pg_hba.conf\n"
] | [
0
] | [] | [] | [
"autotest",
"django",
"python",
"selenium"
] | stackoverflow_0073788460_autotest_django_python_selenium.txt |
Q:
How to hide data in matplotlib 3D graph when it is out of bounds
I have a 3D matplotlib graph. When I zoom in, or change the bounds of the graph, points on the graph will still display even when they are outside of the bounds.
Is there anyway for the data in the graph to not display when it is no longer in bound?
... | How to hide data in matplotlib 3D graph when it is out of bounds | I have a 3D matplotlib graph. When I zoom in, or change the bounds of the graph, points on the graph will still display even when they are outside of the bounds.
Is there anyway for the data in the graph to not display when it is no longer in bound?
I've seen solutions where you can mask the data before plotting so tha... | [
"Sadly, Matplotlib's 3D capabilities are rather limited, so I don't believe it's possible to achieve your desired behavior.\nHowever, you can try a plotting library better suited for 3D data, something like Plotly. This will zoom in, automatically hiding the data outside the view.\nimport plotly.graph_objects as go... | [
0
] | [] | [] | [
"matplotlib",
"python"
] | stackoverflow_0074298505_matplotlib_python.txt |
Q:
Python append text between lines
The task:
I have list of IPs which needs to be added to the .htaccess files in this format:
##ip_access1
Require ip 127.0.0.1
Require ip 127.0.0.2
Require all denied
##ip_access2
The problem:
How to append text into .htaccess file with Python? I know how to do this with bash, but ... | Python append text between lines | The task:
I have list of IPs which needs to be added to the .htaccess files in this format:
##ip_access1
Require ip 127.0.0.1
Require ip 127.0.0.2
Require all denied
##ip_access2
The problem:
How to append text into .htaccess file with Python? I know how to do this with bash, but I need Python specifically for now.
Ca... | [
"This function is the bare bones of a possible solution. It doesn't perform any sanity checks so caution should be exercised.\nimport os\n\ndef ips_to_file(ips, file_path):\n if len(ips) > 0:\n ip_lines = ['##ip_access1'] + [f'Require ip {ip}' for ip in ips] + ['Require all denied', '##ip_access2']\n e... | [
1,
1
] | [] | [] | [
"append",
"python",
"tuples"
] | stackoverflow_0074219020_append_python_tuples.txt |
Q:
Length of a list in a loop
I was playing around with a small program that should find the average of numbers and the list of below, above average numbers in that list.
num = input("Enter a number: ")
total = 0
count = 0
lst = []
below_ave = []
equal_ave = []
above_ave = []
while num != '':
n = int(num)
... | Length of a list in a loop | I was playing around with a small program that should find the average of numbers and the list of below, above average numbers in that list.
num = input("Enter a number: ")
total = 0
count = 0
lst = []
below_ave = []
equal_ave = []
above_ave = []
while num != '':
n = int(num)
total += n
count += 1
l... | [
"I personally never use len(lst) - 1 in python since if you take a look:\nlst = [1, 2, 3, 4]\nfor i in range(len(lst)):\n print(lst[i])\n\nHere i iterates through 0, 1, 2, 3 which would return the output being 1, 2, 3, 4. However, if you do len(lst) - 1 then you would not get the last element in the list i.e you... | [
0,
0,
0
] | [] | [] | [
"list",
"python"
] | stackoverflow_0074299140_list_python.txt |
Q:
OpenCV Video Capture Get Properties Not Work
I'm using Python 3.10 in Windows 10 PC to control Logitech C925e Webcam.
I tried to change the cv2.CAP_PROP_BRIGHTNESS (using method set) to some value. The brightness of my video stream changed, but when I tried to get value cv2.CAP_PROP_BRIGHTNES (using method get), i... | OpenCV Video Capture Get Properties Not Work | I'm using Python 3.10 in Windows 10 PC to control Logitech C925e Webcam.
I tried to change the cv2.CAP_PROP_BRIGHTNESS (using method set) to some value. The brightness of my video stream changed, but when I tried to get value cv2.CAP_PROP_BRIGHTNES (using method get), i always got same value (128.0).
Why this happen?
I... | [
"After I changed the API parameter in VideoCapture to cv2.CAP_DSHOW, it resolved! In the past, I use the default API which is cv2.MSMF\nself.camera.capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)\n\n"
] | [
1
] | [] | [] | [
"opencv",
"python"
] | stackoverflow_0074299333_opencv_python.txt |
Q:
Convert Column Values to Columns and other Values Become that New Column Values
I have a dataframe and would like to transform the dataframe that the values in one column become new columns with the values from another column.
df = pd.DataFrame({'id': ['1','1','2','2','2','3','3','3','3'],
'name': [... | Convert Column Values to Columns and other Values Become that New Column Values | I have a dataframe and would like to transform the dataframe that the values in one column become new columns with the values from another column.
df = pd.DataFrame({'id': ['1','1','2','2','2','3','3','3','3'],
'name': ['Andi','Andy','Ben','Ben','Benjamin','Charlie','Charlie','Charlie','Charles'],
... | [
"Use DataFrame.pivot_table with add level of MultiIndex by aggregate join for unique pairs by DataFrame.drop_duplicates:\ns = df.drop_duplicates(['id','name']).groupby('id')['name'].agg(','.join)\nprint (s)\nid\n1 Andi,Andy\n2 Ben,Benjamin\n3 Charlie,Charles\nName: name, dtype: object\n\ndf2 = (df... | [
1
] | [] | [] | [
"dataframe",
"pandas",
"python"
] | stackoverflow_0074299589_dataframe_pandas_python.txt |
Q:
Openpyxl - Empty rows when copy and pasting data
I've written a script which copies data from one workbook to another. My only issue is that empty cells are being added between data. Can anyone understand why? It looks like the script is skipping values which don't meet the condition of the if statement, but still... | Openpyxl - Empty rows when copy and pasting data | I've written a script which copies data from one workbook to another. My only issue is that empty cells are being added between data. Can anyone understand why? It looks like the script is skipping values which don't meet the condition of the if statement, but still copying a blank cell.
from openpyxl import load_work... | [
"Your issue:\nGiving Enter(mr2 += 1) every time after entering value as it return in if condition\nSolution:\nCreate separate counter for different columns and Enter(Counter += 1) when value in entered in that column\nAs per example:\nA = ws2.max_row\nif cell.value == \"A\":\n ws2.cell(row = A + 1, column = 1).va... | [
0
] | [] | [] | [
"copy",
"excel",
"openpyxl",
"paste",
"python"
] | stackoverflow_0074293284_copy_excel_openpyxl_paste_python.txt |
Q:
How to use pip for Python3.10 instead of Python 3.9?
I would like to use the Python toolkit Neurokit2 (https://neurokit2.readthedocs.io/en/latest/index.html) on Mac OS 12.3.1 in Python 3.10.4.
Python 3.10.4 was installed via homebrew. Python 3.9 was also installed via homebrew because of dependencies for jupyterla... | How to use pip for Python3.10 instead of Python 3.9? | I would like to use the Python toolkit Neurokit2 (https://neurokit2.readthedocs.io/en/latest/index.html) on Mac OS 12.3.1 in Python 3.10.4.
Python 3.10.4 was installed via homebrew. Python 3.9 was also installed via homebrew because of dependencies for jupyterlab and scipy.
When installing Neurokit2 via pip3 install ne... | [
"The best way to handle multiple versions of Python in a single machine is to use pyenv.\nYou can install multiple versions and choose which one to activate at a local path or at a global context :\nhttps://github.com/pyenv/pyenv\n",
"You can try: python3.10 -m pip\n",
"If you really want to make sure you are u... | [
2,
1,
1
] | [] | [] | [
"pip",
"python"
] | stackoverflow_0072274834_pip_python.txt |
Q:
Filtering data in Django ORM
I need to get data from the field leaved_at.
I'm trying to get data about active passes, that is, those where there is nothing in the leaved_at field.
Here is my code in models.py:
`
class Visit(models.Model):
created_at = models.DateTimeField(auto_now=True)
passcard = ... | Filtering data in Django ORM | I need to get data from the field leaved_at.
I'm trying to get data about active passes, that is, those where there is nothing in the leaved_at field.
Here is my code in models.py:
`
class Visit(models.Model):
created_at = models.DateTimeField(auto_now=True)
passcard = models.ForeignKey(Passcard, on_del... | [
"You can try to do this:\nactive_visits = Visit.objects.filter(leaved_at__isnull=True)\n\n"
] | [
0
] | [] | [] | [
"django_orm",
"python"
] | stackoverflow_0074299717_django_orm_python.txt |
Q:
Can't create a column in dataframe based on other columns. Tried several options - none worked. (Python, pandas)
thanks for helping me out. I can't create new column in a dataframe.
So far I have tried using lambdas, isin method, contains method.
I have a dataframe with these values (first two columns are dtype = ... | Can't create a column in dataframe based on other columns. Tried several options - none worked. (Python, pandas) | thanks for helping me out. I can't create new column in a dataframe.
So far I have tried using lambdas, isin method, contains method.
I have a dataframe with these values (first two columns are dtype = object, Column c is what i want to get):
Country code| Countries || Column c |
KR | KR~CN_SG... | [
"Use list comprehension with numpy.where:\nm = [x in y for x, y in zip(df['Country code'], df['Countries'])]\ndf['Column c'] = np.where(m, 'Valid','Invalid')\n\n",
"You can use a single list comprehension:\ndf['Column c'] = ['Valid' if x in l else 'Invalid'\n for x, l in zip(df['Country code'], d... | [
3,
2
] | [] | [] | [
"dataframe",
"methods",
"pandas",
"python"
] | stackoverflow_0074299677_dataframe_methods_pandas_python.txt |
Q:
Python Grouping and assigning values
I have 2 questions:
I need to generate the column ID where in 'ID_' remains constant and for every group in column B a unique id is generated. How can I do this in python?
in addition, whenever the program is executed for the next time with new data, I want to generate the id... | Python Grouping and assigning values | I have 2 questions:
I need to generate the column ID where in 'ID_' remains constant and for every group in column B a unique id is generated. How can I do this in python?
in addition, whenever the program is executed for the next time with new data, I want to generate the ids where it has to trigger from end of prev... | [
"Use GroupBy.ngroup with save maximal number to helper json file, if run again first is read json for last maximal value:\nimport json\n\nfile = 'last.json'\n\n#create file with content:\n#{\"last\": 0}\nwith open(file) as f:\n last = json.load(f)['last']\nprint (last)\n\ng = df.groupby(['Column A','Column B'], ... | [
0
] | [] | [] | [
"group_by",
"pandas",
"python"
] | stackoverflow_0074299740_group_by_pandas_python.txt |
Q:
how to consolidate multiple function call to once call with different parameters for the same func
Python
I have one function let us say: def func(para1,para2,para3)
I have such if else condition:
if condition_1:
para1, para2, para3 = 1, 2, 3
func(para1, para2, para3)
else:
for para1, para2, para3 in [... | how to consolidate multiple function call to once call with different parameters for the same func | Python
I have one function let us say: def func(para1,para2,para3)
I have such if else condition:
if condition_1:
para1, para2, para3 = 1, 2, 3
func(para1, para2, para3)
else:
for para1, para2, para3 in [
[4,5,6],
[7,8,9],
...,
]:
func(para1, para2, para3)
the func here ... | [
"Try to consolidate single call to multiple call, instead of opposite.\nif condition_1:\n params = [(1, 2, 3)] # [[1, 2, 3]] is OK.\nelse:\n params = [\n (4, 5, 6), # [4, 5, 6] is OK.\n (7, 8, 9),\n # ...\n ]\n\nfor param in params:\n func(*param)\n\n"
] | [
1
] | [] | [] | [
"python"
] | stackoverflow_0074299648_python.txt |
Q:
Pandas add values from dictionary iteratively
We have the following dummy dataframe that scrapes many messages:
temp = pd.DataFrame(np.array([['I am feeling very well',],['It is hard to believe this happened',],
['What is love?',], ['Amazing day today',]]),
... | Pandas add values from dictionary iteratively | We have the following dummy dataframe that scrapes many messages:
temp = pd.DataFrame(np.array([['I am feeling very well',],['It is hard to believe this happened',],
['What is love?',], ['Amazing day today',]]),
columns = ['message',])
Output:
message ... | [
"Don't try to assign while looping, collect in a list and assign/join in the end:\ndf = temp.join(pd.json_normalize([model.predict(i, 'roberta')\n for i in temp.message]))\n\n# OR\ndf = temp.join(pd.DataFrame([model.predict(i, 'roberta')\n for i in temp.m... | [
3,
1
] | [] | [] | [
"numpy",
"pandas",
"python"
] | stackoverflow_0074299708_numpy_pandas_python.txt |
Q:
Python typing: overload based on length of tuple argument
I would like to add overloaded type annotations to an existing API that has semantics something like this:
def f(x: Tuple[int, ...]) -> Union[int, List[int]]:
if len(x) == 1:
return x[0]
return list(x)
The argument is a tuple, and the return type i... | Python typing: overload based on length of tuple argument | I would like to add overloaded type annotations to an existing API that has semantics something like this:
def f(x: Tuple[int, ...]) -> Union[int, List[int]]:
if len(x) == 1:
return x[0]
return list(x)
The argument is a tuple, and the return type is either int or List[int] depending on whether the tuple has le... | [
"The \"overlap with incompatible return types\" error message can sometimes be a little bit of a lint, as opposed to something broken. If you # type: ignore, mypy will still do what you want.\n(I'm a maintainer of mypy)\n"
] | [
1
] | [] | [] | [
"mypy",
"python"
] | stackoverflow_0074186452_mypy_python.txt |
Q:
Is there any way to convert integer to MAC address in Ansible?
I have an integer with me, I need to convert into MAC address. I check for hwaddr in Ansible, did not worked for me. Please help me out.
I tried in built module like ipmath and hwaddr. Nothing came handy.
A:
I have an integer with me, I need to conve... | Is there any way to convert integer to MAC address in Ansible? | I have an integer with me, I need to convert into MAC address. I check for hwaddr in Ansible, did not worked for me. Please help me out.
I tried in built module like ipmath and hwaddr. Nothing came handy.
| [
"\nI have an integer with me, I need to convert into MAC address.\n\nNot the prettiest answer, ensure the pip package netaddr is installed on the controller. Can be done w python3 -m pip install netaddr.\n- debug:\n msg: \"{{ 143683695594496 | int | hwaddr('unix') }}\"\n\nThis returns:\n82:ad:f7:a2:cc:00\n",
"... | [
3,
2
] | [] | [] | [
"ansible",
"ansible_facts",
"jinja2",
"python"
] | stackoverflow_0074289152_ansible_ansible_facts_jinja2_python.txt |
Q:
Submit Form Button in Streamlit
I made a simple app which will take user input and save it into SQL database.
The form will be displayed once the user will click the Form button after log-in.
The problem is with the st.form_submit_button, even tho it is clicked it show's false and doesn't perform any task which is... | Submit Form Button in Streamlit | I made a simple app which will take user input and save it into SQL database.
The form will be displayed once the user will click the Form button after log-in.
The problem is with the st.form_submit_button, even tho it is clicked it show's false and doesn't perform any task which is supposed to perform.
if st.button("F... | [
"The problem is from the if st.button(\"Form\"): not st.form_submit_button. Initialize a session state for the first button. Streamlit button has no callbacks, meaning all the entered data will be lost after user clicks on submit_form, because the page reruns.\nAlso take a look at age, st.number_input() will accept... | [
1
] | [] | [] | [
"python",
"streamlit"
] | stackoverflow_0074298499_python_streamlit.txt |
Q:
runnig undetected_chromdriver on AWS Lambda: Message: 'e39098076c0be4f2_chromedriver' executable needs to be in PATH
I'm trying to deploy a python automation script on AWS lambda using docker image. and I'm sure I did everything right regarding the Path and the installtion, but when I run it on AWS I get this weir... | runnig undetected_chromdriver on AWS Lambda: Message: 'e39098076c0be4f2_chromedriver' executable needs to be in PATH | I'm trying to deploy a python automation script on AWS lambda using docker image. and I'm sure I did everything right regarding the Path and the installtion, but when I run it on AWS I get this weird error message.
"errorMessage": "Message: 'e39098076c0be4f2_chromedriver' executable needs to be in PATH."
what is wierd ... | [
"I solved the problem in the code using driver_executable_path argument instead of executable_path.\nalso changed the docker file to install chromium browser then chromdrive\nRUN apk add chromium\nRUN apk add chromium-chromedriver\n\n"
] | [
0
] | [] | [] | [
"aws_lambda",
"dockerfile",
"python",
"selenium_webdriver",
"undetected_chromedriver"
] | stackoverflow_0074290919_aws_lambda_dockerfile_python_selenium_webdriver_undetected_chromedriver.txt |
Q:
PassingCars in Codility using Python
I have a coding challenge next week as the first round interview. The HR said they will use Codility as the coding challenge platform. I have been practicing using the Codility Lessons.
My issue is that I often get a very high score on Correctness, but my Performance score, wh... | PassingCars in Codility using Python | I have a coding challenge next week as the first round interview. The HR said they will use Codility as the coding challenge platform. I have been practicing using the Codility Lessons.
My issue is that I often get a very high score on Correctness, but my Performance score, which measure time complexity, is horrible (... | [
"You should not sum the entire array each time you find a zero. That makes it O(n^2). Instead note that every zero found will give a +1 for each following one:\ndef solution(A):\n zeros = 0\n passing = 0\n for i in A:\n if i == 0:\n zeros += 1\n else:\n passing += zero... | [
7,
1,
0,
0
] | [] | [] | [
"algorithm",
"python"
] | stackoverflow_0048046020_algorithm_python.txt |
Q:
Applying Groupby and aggregation on a set of dynamically selected columns
I have a dataframe and need to group the data based on some columns.
Static way:
dfMMS_BBMS_pv.columns
['area_type', 'area_name', 'area_code', 'date', 'A_BBMS',
'A_MMS', 'Others_BBMS', 'Others_MMS', 'B_BBMS',
'C_BBMS', 'C_MMS', 'T_BBMS... | Applying Groupby and aggregation on a set of dynamically selected columns | I have a dataframe and need to group the data based on some columns.
Static way:
dfMMS_BBMS_pv.columns
['area_type', 'area_name', 'area_code', 'date', 'A_BBMS',
'A_MMS', 'Others_BBMS', 'Others_MMS', 'B_BBMS',
'C_BBMS', 'C_MMS', 'T_BBMS', 'V_BBMS',
'D_BBMS', 'D_MMS']
dfMMS_BBMS_pv=dfMMS_BBMS_pv.groupby(['area_... | [
"Create final dictionary before aggregation by merge both dicts and pass to GroupBy.agg:\nd = {**{'date': lambda x: list(x)},\n **{i: lambda x: list(round(x,2)) for i in Interested_Cols}}\n\ndfMMS_BBMS_pv=dfMMS_BBMS_pv.groupby(['area_type', 'area_name', 'area_code']).agg(d)\n\n"
] | [
2
] | [] | [] | [
"aggregate",
"pandas",
"python"
] | stackoverflow_0074299682_aggregate_pandas_python.txt |
Q:
How to iterate through tuple and plot values in python3
I have processed a JSON via web request and am trying to iterate through the device elements to plot via matplotlib, however have been struggling to correctly address each index element.
I am receiving the JSON like this:
key_list = ['RSSI', 'charge (mV)']
k... | How to iterate through tuple and plot values in python3 | I have processed a JSON via web request and am trying to iterate through the device elements to plot via matplotlib, however have been struggling to correctly address each index element.
I am receiving the JSON like this:
key_list = ['RSSI', 'charge (mV)']
key_str = ','.join(key_list)
teledata = dict()
for device, id... | [
"In your loop over teledata.items(), data is the following (first iteration):\n{\n \"success\": true,\n \"message\": \"\",\n \"data\": [\n {\n \"RSSI\":\"-77\",\n \"charge (mV)\":\"215.824\"\n },\n {\n \"RSSI\":\"-79\",\n \"charge (mV)\":\"21... | [
0
] | [] | [] | [
"matplotlib",
"python",
"python_3.x"
] | stackoverflow_0074299845_matplotlib_python_python_3.x.txt |
Q:
REGEX: how to i get the name more the character " : "
Im using python to extract some info
i wanna get the words/names before the charcter :
but the problem is everythig is tied together
from here
Morgan Stanley.Erik Woodring:
i just wanna extract "Erik Woodring:"
or from here
market.Operator:
i just wanna ext... | REGEX: how to i get the name more the character " : " | Im using python to extract some info
i wanna get the words/names before the charcter :
but the problem is everythig is tied together
from here
Morgan Stanley.Erik Woodring:
i just wanna extract "Erik Woodring:"
or from here
market.Operator:
i just wanna extract Operator:
sometimes there are questiosn like this
to a... | [
"This could be the regex you're looking for:\n\\b[\\w\\s]+(?=:)\n\n\n\\b world boundary;\n[\\w\\s]+ matches any word or whitespace (at least one character);\n(?=:) positive lookahead that specifies the word must be followed by a punctation mark;\n\nhttps://regex101.com/r/w86oWv/1\nIf you want to get the \":\" too y... | [
1
] | [] | [] | [
"nlp",
"python",
"regex",
"web_scraping"
] | stackoverflow_0074297347_nlp_python_regex_web_scraping.txt |
Q:
Assigned 3 colors to 3D plot based on Z value python
I am trying to get my 3D python plot into 3 different colors based on the value of Z from a CSV file. I am trying to color a point one specific color, and then points below one color and points above one color. I can get the plot into a color above and below the... | Assigned 3 colors to 3D plot based on Z value python | I am trying to get my 3D python plot into 3 different colors based on the value of Z from a CSV file. I am trying to color a point one specific color, and then points below one color and points above one color. I can get the plot into a color above and below the point, but I can't seem to figure out how to get it into ... | [
"As mentioned by Claudio on the comment, you can create a color value and then assign a proper colormap. Here, I'm going to create a discrete color map based on Matplotlib's Tab10:\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.cm as cm\nimport matplotlib.colors as col\n\nfig = plt.figure()... | [
0
] | [] | [] | [
"3d",
"csv",
"matplotlib",
"python"
] | stackoverflow_0074296929_3d_csv_matplotlib_python.txt |
Q:
rdflib : ParseException: Expected {SelectQuery | ConstructQuery | DescribeQuery | AskQuery}, found 's' (at char 17), (line:2, col:17)
Working on several SPARQL queries that works, we are facing an issue with the rdflib library, with queries containing projection with str function.
Here is an example of code on whi... | rdflib : ParseException: Expected {SelectQuery | ConstructQuery | DescribeQuery | AskQuery}, found 's' (at char 17), (line:2, col:17) | Working on several SPARQL queries that works, we are facing an issue with the rdflib library, with queries containing projection with str function.
Here is an example of code on which the parser fail :
query = """
SELECT DISTINCT str(?s)
WHERE { ?s ?p ?o. }
"""
parsedQuery = rdflib.plugins.sparql.parser.parseQuery(que... | [
"As UninformedUser answered in the comments,\nSELECT DISTINCT str(?s)\n\nneeds to be\nSELECT DISTINCT (str(?s) as ?s_str)\n\n"
] | [
0
] | [] | [] | [
"python",
"rdflib",
"sparql"
] | stackoverflow_0062771960_python_rdflib_sparql.txt |
Q:
Fetch records from ir.attachment with domain not working
i have written a Controller and write line as
attachments_items = request.env["ir.attachment"].sudo().search([])
its working and return all records but when i use with domain as
attachments_items = request.env["ir.attachment"].sudo().search([('res_model', '=... | Fetch records from ir.attachment with domain not working | i have written a Controller and write line as
attachments_items = request.env["ir.attachment"].sudo().search([])
its working and return all records but when i use with domain as
attachments_items = request.env["ir.attachment"].sudo().search([('res_model', '=', 'res.partner'), ('res_id', '=', data.get('res_id'))])
its ... | [
"The attachment _search method was overridden and if you do not specifically add the res_field to the search domain, Odoo will automatically add:\n('res_field', '=', False)\n\nIt is used to discard binary fields attachments\nIn the first search query, it will return all attachments, in the second it will return spe... | [
2
] | [] | [] | [
"odoo_14",
"python"
] | stackoverflow_0074298536_odoo_14_python.txt |
Q:
mySql is not working with django
I'm stuck to set mysql with django!
I have python 2.7 and django installed, i have python-mysql installed and i have mysql installed with xampp. follow my string connection:
'default': {
'ENGINE': 'mysql',
'NAME': 'teste',
'USER': 'root',
'PASSWORD': '',
'HOST'... | mySql is not working with django | I'm stuck to set mysql with django!
I have python 2.7 and django installed, i have python-mysql installed and i have mysql installed with xampp. follow my string connection:
'default': {
'ENGINE': 'mysql',
'NAME': 'teste',
'USER': 'root',
'PASSWORD': '',
'HOST': 'localhost',
'PORT': '',
}
When... | [
"If your MySQL is not working in xampp then first of all close apache. Then open your xampp folder. Then click on the MySQL folder. Click to see the folder image Then copy all files into a backup folder then rename the folder to data_old and create a new file named data and paste the backup folder files to the data... | [
0
] | [] | [] | [
"django",
"mysql",
"python"
] | stackoverflow_0015562521_django_mysql_python.txt |
Q:
flask-migrate doesn't detect models
I am reading (and watching) about Flask-Migrate here:
https://realpython.com/blog/python/flask-by-example-part-2-postgres-sqlalchemy-and-alembic/
and here https://www.youtube.com/watch?v=YJibNSI-iaE#t=21
and doing everything from this tutorial:
I started a local postgres server... | flask-migrate doesn't detect models | I am reading (and watching) about Flask-Migrate here:
https://realpython.com/blog/python/flask-by-example-part-2-postgres-sqlalchemy-and-alembic/
and here https://www.youtube.com/watch?v=YJibNSI-iaE#t=21
and doing everything from this tutorial:
I started a local postgres server (using Postgres.App, which started the s... | [
"Make sure your model is imported by your app. In most cases your views.py should do that. But you can also import it directly from your app.py.\n",
"Be sure that you're importing your models the same way throughout your application.\nFor example, I was using the following in my __init__.py:\nfrom .models import ... | [
26,
3,
1
] | [
"You need to import your model literally anywhere in your code, so SQLAlchemy can recognize it.\n"
] | [
-1
] | [
"alembic",
"flask",
"flask_migrate",
"postgresql",
"python"
] | stackoverflow_0026564784_alembic_flask_flask_migrate_postgresql_python.txt |
Q:
Caused by ConnectTimeoutError(,
i tried to make a web site traffic increaser but i got an error like "Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x000001B6E7CC5930>,"
So how will i fix that? i have a problem about proxys timeout.
and thats the Traceback over here :
Traceback (m... | Caused by ConnectTimeoutError(, | i tried to make a web site traffic increaser but i got an error like "Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x000001B6E7CC5930>,"
So how will i fix that? i have a problem about proxys timeout.
and thats the Traceback over here :
Traceback (most recent call last):
File "C:\Use... | [
"maybe you can fix this problem by setting timeout parameter. like this\nsession.get(url, headers=header, proxy=myproxy,timeout=30)\n\n"
] | [
0
] | [] | [] | [
"python",
"python_3.x",
"traceback"
] | stackoverflow_0070524433_python_python_3.x_traceback.txt |
Q:
How to get the index value of the row above and below in Pandas idxmax()
I have the following code:
import pandas as pd
df = pd.util.testing.makeDataFrame()
max_index = df.A.idxmax()
What I am trying to do is get the index value right above and below max_index in the dataframe. Could you please advise how this co... | How to get the index value of the row above and below in Pandas idxmax() | I have the following code:
import pandas as pd
df = pd.util.testing.makeDataFrame()
max_index = df.A.idxmax()
What I am trying to do is get the index value right above and below max_index in the dataframe. Could you please advise how this could be accomplished.
| [
"If you're unsure whether the index has duplicates, a safe way is:\nimport pandas as pd\ndf = pd.util.testing.makeDataFrame()\nmax_index = df.A.idxmax()\nbefore = df['A'].shift(-1).idxmax()\nafter = df['A'].shift().idxmax()\n\nIf the indices are unique:\ni = df.index.get_loc(max_index)\nbefore, after = df.index[i-1... | [
1
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074300161_pandas_python.txt |
Q:
how to install pyi file into site-packages root dir?
I am trying to setup a stub typing file for a module that sits in the site-package (uno.py) root dir.
I have created a uno.pyi file in the root of my project and I am at a loss how to create a setup that installs into site-packages root dir where uno.py resides.... | how to install pyi file into site-packages root dir? | I am trying to setup a stub typing file for a module that sits in the site-package (uno.py) root dir.
I have created a uno.pyi file in the root of my project and I am at a loss how to create a setup that installs into site-packages root dir where uno.py resides.
I am using a setup.cfg
[metadata]
name = uno-stubs
versio... | [
"My solution was to create a directory with the same name as the module.\nThis allowed me to put a init.pyi file in the dir to gain typings.\nSee LibreOffice UNO Typings for entire solution.\nUNO_PYI\n|\n|--uno\n |--__init__.pyi\n|--setup.py\n|--README.rst\n|--LICENSE\n\n",
"You should use setup.py and build wh... | [
0,
0
] | [] | [] | [
"python",
"python_packaging",
"python_typing",
"setup.py",
"setuptools"
] | stackoverflow_0071903838_python_python_packaging_python_typing_setup.py_setuptools.txt |
Q:
Python regex empty line csv
I need to process a file which is a csv with pipe separated values. The issue is that few rows have their preceeding value after few empty rows like this,
"xx"|"yyyyy"|"zzz"|"aaaaaaaa"|"bbbbbbb"|"cccccccc"|"dddd"|"eeeeeee"|"fffffffffff
ffff"|""|""|"iiiii"
I don't understand how to pro... | Python regex empty line csv | I need to process a file which is a csv with pipe separated values. The issue is that few rows have their preceeding value after few empty rows like this,
"xx"|"yyyyy"|"zzz"|"aaaaaaaa"|"bbbbbbb"|"cccccccc"|"dddd"|"eeeeeee"|"fffffffffff
ffff"|""|""|"iiiii"
I don't understand how to process it as a single row. For now... | [
"The csv module knows how to cope with this. Don't reinvent it needlessly.\nwith open(\"./sample.csv\",\"r\") as f:\n for line in csv.reader(f, delimiter=\"|\"):\n yield line\n\ncsv.reader returns a parsed sequence of fields, not the bare line.\n"
] | [
0
] | [] | [] | [
"csv",
"python"
] | stackoverflow_0074300198_csv_python.txt |
Q:
Python pandas extra 0 in numeric values
I have a simple code that read csv file. After that I change the names of the columns and print them. I found one weird issue that for some numeric columns its adding extra .0 Here is my code:
v_df = pd.read_csv('csvfile', delimiter=;)
v_df = v_df.rename(columns={Order No. :... | Python pandas extra 0 in numeric values | I have a simple code that read csv file. After that I change the names of the columns and print them. I found one weird issue that for some numeric columns its adding extra .0 Here is my code:
v_df = pd.read_csv('csvfile', delimiter=;)
v_df = v_df.rename(columns={Order No. : Order_Id})
for index, csv_row in v_df.iterro... | [
"I am trying to emulate your df here, although it has some differences I think it will work for you:\nimport pandas as pd\nimport numpy as np\n\n\n\nv_df = pd.DataFrame([['13-Oct-22','149545961155429.0','149545961255429','Delivered'],\n ['12-Oct-22',None,None,'delivered'],\n['15-Oct-22','14963239166118... | [
0
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074266217_pandas_python.txt |
Q:
Error (long traceback) when running pytest and psutil
Minimal reproducible example:
File should be named test_something.py
import psutil
import xlwings
def test() -> None:
wb = xlwings.Book("Book1.xlsm") # it's an empty .xlsm file that you can create yourself
sheet_results = wb.sheets("Sheet1")
sheet... | Error (long traceback) when running pytest and psutil | Minimal reproducible example:
File should be named test_something.py
import psutil
import xlwings
def test() -> None:
wb = xlwings.Book("Book1.xlsm") # it's an empty .xlsm file that you can create yourself
sheet_results = wb.sheets("Sheet1")
sheet_results.api.Copy(None, After=sheet_results.api)
asser... | [
"Looks like you want to kill processes of \"EXCEL.EXE\". So, simply try using:\nimport psutil\n\nfor proc in psutil.process_iter():\n if proc.name() == \"excel.exe\": #not \"EXCEL.EXE\" it is not caps but small\n proc.kill()\n\n"
] | [
0
] | [] | [] | [
"psutil",
"pytest",
"python",
"xlwings"
] | stackoverflow_0073679282_psutil_pytest_python_xlwings.txt |
Q:
The installed Reactor does not match the requested one
I'm trying to run through the examples on scrape-playwrights docs in running the scrolling example on quotes.toscrape.com/scroll and I can't even get to scraping because of a issue with the reactors:
URL SPIDER TEST
***********************
SCRAPE STARTED
*****... | The installed Reactor does not match the requested one | I'm trying to run through the examples on scrape-playwrights docs in running the scrolling example on quotes.toscrape.com/scroll and I can't even get to scraping because of a issue with the reactors:
URL SPIDER TEST
***********************
SCRAPE STARTED
***********************
2022-08-11 15:47:38 [scrapy.crawler] INFO... | [] | [] | [
"In the settings, find and comment:\nREQUEST_FINGERPRINTER_IMPLEMENTATION = '2.7'\nTWISTED_REACTOR = 'twisted.internet.asyncioreactor.AsyncioSelectorReactor'\nThese were the last lines for me\n"
] | [
-2
] | [
"playwright",
"python",
"python_asyncio",
"scrapy"
] | stackoverflow_0073322915_playwright_python_python_asyncio_scrapy.txt |
Q:
How to stop selenium from printing WebDriver manager startup logs?
When I'm launching a new selenium driver I get a message as:
====== WebDriver manager ======
Current chromium version is 90.0.4430
Get LATEST chromedriver version for 90.0.4430 chromium
Driver [/root/.wdm/drivers/chromedriver/linux64/90.0.4430.24/c... | How to stop selenium from printing WebDriver manager startup logs? | When I'm launching a new selenium driver I get a message as:
====== WebDriver manager ======
Current chromium version is 90.0.4430
Get LATEST chromedriver version for 90.0.4430 chromium
Driver [/root/.wdm/drivers/chromedriver/linux64/90.0.4430.24/chromedriver] found in cache
I tryed using:
chrome_options.add_experimen... | [
"The log-level that you are setting for chrome_options is completely separate from the logs that you are seeing from using the external library webdrivermanager for Python. That library will have its own way of disabling log messages (or at least it should). There are other Python libraries for managing WebDriver i... | [
2,
2,
2,
0,
0
] | [] | [] | [
"logging",
"python",
"python_3.x",
"selenium",
"webdrivermanager_python"
] | stackoverflow_0070698508_logging_python_python_3.x_selenium_webdrivermanager_python.txt |
Q:
Pandas "Can only compare identically-labeled DataFrame objects" error
I'm using Pandas to compare the outputs of two files loaded into two data frames (uat, prod):
...
uat = uat[['Customer Number','Product']]
prod = prod[['Customer Number','Product']]
print uat['Customer Number'] == prod['Customer Number']
print u... | Pandas "Can only compare identically-labeled DataFrame objects" error | I'm using Pandas to compare the outputs of two files loaded into two data frames (uat, prod):
...
uat = uat[['Customer Number','Product']]
prod = prod[['Customer Number','Product']]
print uat['Customer Number'] == prod['Customer Number']
print uat['Product'] == prod['Product']
print uat == prod
The first two match exa... | [
"Here's a small example to demonstrate this (which only applied to DataFrames, not Series, until Pandas 0.19 where it applies to both):\nIn [1]: df1 = pd.DataFrame([[1, 2], [3, 4]])\n\nIn [2]: df2 = pd.DataFrame([[3, 4], [1, 2]], index=[1, 0])\n\nIn [3]: df1 == df2\nException: Can only compare identically-labeled D... | [
96,
48,
15,
9,
4,
0
] | [
"I found where the error is coming from in my case:\nThe problem was that column names list was accidentally enclosed in another list.\nConsider following example:\ncolumn_names=['warrior','eat','ok','monkeys']\n\ndf_good = pd.DataFrame(np.ones(shape=(6,4)),columns=column_names)\ndf_good['ok'] < df_good['monkeys']\... | [
-1,
-1
] | [
"pandas",
"python"
] | stackoverflow_0018548370_pandas_python.txt |
Q:
Find the index of all occurrences of 'a' in the string x
Programming is all fine but I don't know the meaning of idx for idx.
I know function enumerate(): for idx, c in enumerate
but what is idx for idx meaning??
input
x = 'An apple a day, keeps the doctor away'
j = [idx for idx, c in enumerate(x, start = 0) if c... | Find the index of all occurrences of 'a' in the string x | Programming is all fine but I don't know the meaning of idx for idx.
I know function enumerate(): for idx, c in enumerate
but what is idx for idx meaning??
input
x = 'An apple a day, keeps the doctor away'
j = [idx for idx, c in enumerate(x, start = 0) if c == 'a']
print(j)
output
[3, 9, 12, 33, 35]
| [
"In this example, idx iterates over the indices of the string x while c iterates over its values.\nSo when c == 'a', idx (which is the index of this 'a') will be added to the list.\nThink it more like idx for (idx, c) in enumerate(x, start = 0) if c == 'a'\n",
"This is known as list comprehension, I would sugges... | [
0,
0
] | [] | [] | [
"enumerate",
"python"
] | stackoverflow_0074300222_enumerate_python.txt |
Q:
How to optimally find if "dataframe cell value" contains "cell value from another dataframe" and fill cell with it?
I have dataframe with 2 unequal columns:
One-word
Many-Words
Bird
Bird with no blood
Stone
Stone that killed the bird
Blood
Bird without brains
<none>
stone and blood
And i am trying to fill th... | How to optimally find if "dataframe cell value" contains "cell value from another dataframe" and fill cell with it? | I have dataframe with 2 unequal columns:
One-word
Many-Words
Bird
Bird with no blood
Stone
Stone that killed the bird
Blood
Bird without brains
<none>
stone and blood
And i am trying to fill the new third column with all of the many-words that contain one-word. (5 or less)
So it would be like:
One... | [
"You can use iterrows to loop over your df rows and build a list of Many-Words containing One-word:\ndf[\"Many-Words with One-word\"] = pd.Series([\n df[df[\"Many-Words\"].str.lower().str.contains(row[\"One-word\"].lower())][\"Many-Words\"].to_list()\n for _, row in df.iterrows()\n])\n\nNote: using lower to mak... | [
0
] | [] | [] | [
"dataframe",
"pandas",
"python"
] | stackoverflow_0074299618_dataframe_pandas_python.txt |
Q:
How to use Canny Edge Detection in OpenCV with keeping the colored image? Python
So I am trying to outline a blue colored box with a white line using Canny Edge Detection. It's just a black background with a blue square in the middle of the screen. This is the code I currently have:
import numpy as np
import cv2 a... | How to use Canny Edge Detection in OpenCV with keeping the colored image? Python | So I am trying to outline a blue colored box with a white line using Canny Edge Detection. It's just a black background with a blue square in the middle of the screen. This is the code I currently have:
import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
img = cv.imread('BlueSquare.png',0)
edges =... | [
"I have gone through the code, basically, you are loading the image in grayscale as you are passing '0', \"img = cv.imread('BlueSquare.png',0)\" with the image name which means now you don't have the original image so what I did is load the original image and then convert into the grayscale as the canny function ta... | [
0
] | [] | [] | [
"opencv",
"python"
] | stackoverflow_0074298528_opencv_python.txt |
Q:
how to remove trailing newline in jython
I am writing a code in Jython where I am reading data from a csv file and writing it to another csv.
but I am facing one issue:
I need to remove the trailing newlines and if I use newline='' in open command.
Share image of how the data should be in csv file and how it is co... | how to remove trailing newline in jython | I am writing a code in Jython where I am reading data from a csv file and writing it to another csv.
but I am facing one issue:
I need to remove the trailing newlines and if I use newline='' in open command.
Share image of how the data should be in csv file and how it is coming.
the code for reading file is as follows... | [
"Could you try doing file.readline().strip('\\n')\n"
] | [
0
] | [] | [] | [
"jython",
"python"
] | stackoverflow_0074300343_jython_python.txt |
Q:
failed to delete the start_date with django queryset
I am trying to delete the data between start_date and_date using django.
Here is the code I am using:
Porfolio.objects.filter(portfolio_id=portfolio_id, date__gte=start_date, date__lte=end_date).delete()
Problem:
whatever the start and end_date I am using, the ... | failed to delete the start_date with django queryset | I am trying to delete the data between start_date and_date using django.
Here is the code I am using:
Porfolio.objects.filter(portfolio_id=portfolio_id, date__gte=start_date, date__lte=end_date).delete()
Problem:
whatever the start and end_date I am using, the start_date is not deleted while all the period afterward i... | [
"You should use range lookup and Q() objects together as stated by @AbdulAzizBarkat in the above comment so:\nfrom django.db.models import Q\n\nPorfolio.objects.filter(Q(portfolio_id=portfolio_id) & Q(date__range=(start_date,end_date))).delete()\n\nIt will only work correctly if date is DateField not DateTimeField ... | [
0
] | [] | [] | [
"django",
"django_models",
"django_queryset",
"python"
] | stackoverflow_0074299891_django_django_models_django_queryset_python.txt |
Q:
How to append dataframe to an existing excel file with some rows of data in it?
I have an excel sheet which has 150 rows of data. Now, I want to append a dataframe to that sheet without deleting or replacing the data using python.
I have tried code like this, it is deleting the existing content from the excel and ... | How to append dataframe to an existing excel file with some rows of data in it? | I have an excel sheet which has 150 rows of data. Now, I want to append a dataframe to that sheet without deleting or replacing the data using python.
I have tried code like this, it is deleting the existing content from the excel and writing the dataframe into it.
import pandas as pd
import openpyxl
workbook = openpy... | [
"Firstly I created excel file with some data in range C5:I18.\n# Required imports\nimport pandas as pd\nfrom pathlib import Path\nimport numpy as np\n\n# Path to excel file\nxl_path = Path(\"C://Path//to//your//Excel_file.xlsx\")\n\n# sheet name\nsht_name = 'test'\n\n# columns names\ncols = list(\"ABCDEFG\")\n\n# r... | [
0
] | [
"file_path = \"/path/to/file.xlsx\"\n\ndf_excel = pd.read_excel(file_path)\nresult = pd.concat([df_excel, df], ignore_index=True)\nresult.to_excel(file_path, index=False)\n\n"
] | [
-1
] | [
"dataframe",
"excel",
"pandas",
"python"
] | stackoverflow_0074277211_dataframe_excel_pandas_python.txt |
Q:
Determine a date starting from two integer numbers
Determine a date (as day, month, year) starting from two integer numbers that represent the year and the number of the day in that year.
i'm new to coding and I don't know where to start even.
A:
If I understand correctly you can use Python datetime module to do... | Determine a date starting from two integer numbers | Determine a date (as day, month, year) starting from two integer numbers that represent the year and the number of the day in that year.
i'm new to coding and I don't know where to start even.
| [
"If I understand correctly you can use Python datetime module to do what you need:\nfrom datetime import datetime\nprint(datetime.strptime(\"2004-68\", \"%Y-%j\").strftime(\"%d.%m.%Y\"))\n\nResult:\n08.03.2004\n\n",
"You can start with creating algorithm in your head, or on paper.\nThen you can translate it to py... | [
0,
0,
0
] | [] | [] | [
"python"
] | stackoverflow_0074300118_python.txt |
Q:
How to dinamicaly create multiple Table Classes in SQLAlchemy?
I'm trying to create multiple classes in SQLAlchemy to generate specific tables.
I found different things here and more on https://docs.python.org/3/library/functions.html#import and https://python-course.eu/oop/dynamically-creating-classes-with-type.p... | How to dinamicaly create multiple Table Classes in SQLAlchemy? | I'm trying to create multiple classes in SQLAlchemy to generate specific tables.
I found different things here and more on https://docs.python.org/3/library/functions.html#import and https://python-course.eu/oop/dynamically-creating-classes-with-type.php
It seems clear enough, but their examples is using global opearti... | [
"Thanks @Gord Thompson because he gave me another track.\nI believe the solution will be this, I only test the init of database.\ndef tables_constructor(names: list) -> list:\n \"\"\"\n Creates all tables in the database\n :return: \n \"\"\"\n engine = get_engine()\n metadata_obj = MetaData()\n ... | [
0
] | [] | [] | [
"oop",
"python",
"sqlalchemy"
] | stackoverflow_0074289804_oop_python_sqlalchemy.txt |
Q:
ImportError: cannot import name 'S3Error' from 'minio.error'
ImportError: cannot import name 'S3Error' from 'minio.error' (/usr/local/lib/python3.10/dist-packages/minio/error.py)
I have tried to import the minio.error on Python 3.10, which returns this error. How can I resolve this?
A:
As you can see in the sou... | ImportError: cannot import name 'S3Error' from 'minio.error' | ImportError: cannot import name 'S3Error' from 'minio.error' (/usr/local/lib/python3.10/dist-packages/minio/error.py)
I have tried to import the minio.error on Python 3.10, which returns this error. How can I resolve this?
| [
"As you can see in the source code, the S3Error class exists since minio version 7.0.0.\nSolution: update your minio to version 7.0.0 or higher.\n"
] | [
2
] | [] | [] | [
"importerror",
"minio",
"python"
] | stackoverflow_0074300483_importerror_minio_python.txt |
Q:
automatically execute python script weekly Azure
I encountered a problem within my research for my internship. I made a script that gathered specific data from the instagram API. Is it possible to reproduce this script in a loop weekly via an option in Azure? I can't quite find it.
Thanks in advance!
I hard coded ... | automatically execute python script weekly Azure | I encountered a problem within my research for my internship. I made a script that gathered specific data from the instagram API. Is it possible to reproduce this script in a loop weekly via an option in Azure? I can't quite find it.
Thanks in advance!
I hard coded it within the python script option in Azure but I want... | [
"I think you are looking for Time Trigger Azure function which lets you to run a function on a schedule.\nSee Timer trigger for Azure Functions for more info.\n",
"Even I was stuck with the same problem and then I got an answer by on of the contributor.\nIf you are using azure then you can make use of Azure func... | [
0,
0
] | [] | [] | [
"azure",
"azure_functions",
"python"
] | stackoverflow_0074300556_azure_azure_functions_python.txt |
Q:
Pickle can't find module that I am not using?
I have a script using these modules to generate a model.
import pandas as pd
import seaborn as sns
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
f... | Pickle can't find module that I am not using? | I have a script using these modules to generate a model.
import pandas as pd
import seaborn as sns
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.metrics imp... | [
"This happens when saving and loading occur in different environments.\nI believe for Pickle to work correctly all modules related to the model have to have the same version when pickling and unpickling; python version and the operating system have to be the same.\nNo module named _gb error specifically can occur w... | [
0,
0
] | [] | [] | [
"pickle",
"python",
"python_3.x"
] | stackoverflow_0067605441_pickle_python_python_3.x.txt |
Q:
Count 10 most frequent words using PySpark
I want to write a PySpark snippet of code that first reads some data in the form of a text file from a Cloud Storage bucket. The text file contains paragraphs of text separated by newline characters, words are also separated
using space characters.
I need to calculate the... | Count 10 most frequent words using PySpark | I want to write a PySpark snippet of code that first reads some data in the form of a text file from a Cloud Storage bucket. The text file contains paragraphs of text separated by newline characters, words are also separated
using space characters.
I need to calculate the 10 highest-frequency words in the given text fi... | [
"If you had a file like this:\ns = \"\"\"a b c d e f g h i j\na a b c d e f g h i j k l m n o p\"\"\"\nwith open('file.txt', 'w') as f:\n f.write(s)\n\nYou could get top 10 words with counts into a Python dictionary like this:\nfrom pyspark.sql import functions as F\n\nsplit_on_spaces = F.split('value', ' ')\ndf... | [
1,
1
] | [] | [] | [
"apache_spark",
"google_cloud_platform",
"pyspark",
"python",
"text"
] | stackoverflow_0074297707_apache_spark_google_cloud_platform_pyspark_python_text.txt |
Q:
Whats the fastest method for iou in numpy?
I'm currently trying to do an iou analysis for a 3d image in different time points. These images contain around 1500 objects (cells) with an unique id in an around 2000x2000x2000 image.
I found logical_and and logical_or functions of numpy which take one variable at a tim... | Whats the fastest method for iou in numpy? | I'm currently trying to do an iou analysis for a 3d image in different time points. These images contain around 1500 objects (cells) with an unique id in an around 2000x2000x2000 image.
I found logical_and and logical_or functions of numpy which take one variable at a time from each image so I made a very basic double ... | [
"A faster algorithm is possible by:\n\nExploiting (more) the fact that object ids can be used as indices\nCalculating the unionij basically as counti + countj - intersectionij\n\nThe algorithm basically works like this:\nn_1 = np.max(image_1) + 1\nn_2 = np.max(image_2) + 1\n\ncounts_1 = np.zeros(n_1, int)\ncounts_2... | [
1
] | [] | [] | [
"numpy",
"python"
] | stackoverflow_0074266270_numpy_python.txt |
Q:
Create Train Test Split on PrefetchDataset
I have a directory which has 12 csv files. I read them using tensorflow using the following code:-
import tensorflow as tf
a = [0, 2, 3, 4, 5, 19, 23, 32, 39, 40, 42, 50, 51, 53, 56, 65, 66, 67, 68, 69]
data = tf.data.experimental.make_csv_dataset("./raw/*",
... | Create Train Test Split on PrefetchDataset | I have a directory which has 12 csv files. I read them using tensorflow using the following code:-
import tensorflow as tf
a = [0, 2, 3, 4, 5, 19, 23, 32, 39, 40, 42, 50, 51, 53, 56, 65, 66, 67, 68, 69]
data = tf.data.experimental.make_csv_dataset("./raw/*",
batch_size=2000,
... | [
"You can use:\ntrain_size = int(0.7 * DATASET_SIZE)\ntest_size = int(0.3 * DATASET_SIZE)\n\ntrain_dataset = data.skip(train_size)\ntest_dataset = data.take(train_size)\n\nTest dataset has first (0.3 * DATASET_SIZE) elements and the rest goes for training.\n\nTake:\nCreates a Dataset with at most count elements fr... | [
0
] | [] | [] | [
"python",
"tensorflow",
"tensorflow2.0"
] | stackoverflow_0074300553_python_tensorflow_tensorflow2.0.txt |
Q:
Python: Integrate daily list into df with hourly index
I have daily weather data:
rain (mm)
date
01/01/2022 0.0
02/01/2022 0.5
03/01/2022 2.0
...
And I have another table (df) broken down by hour
value
datetime
01/01/2022 01:00 x
01/01/2022 02:00 x
01/01/2022 03:00 ... | Python: Integrate daily list into df with hourly index | I have daily weather data:
rain (mm)
date
01/01/2022 0.0
02/01/2022 0.5
03/01/2022 2.0
...
And I have another table (df) broken down by hour
value
datetime
01/01/2022 01:00 x
01/01/2022 02:00 x
01/01/2022 03:00 x
...
And I want to join them like this:
... | [
"Under assumption that the 1st dataframe is named 'weather' and the 2nd named 'df'.\nLet's try the following code:\ndf['rain']=[weather['rain (mm)'][i] for i in df.index]\n\n",
"You probably want to resample weather then join df:\nweather = weather.resample(\"H\").ffill()\ndf_out = weather.join(df)\n\nThis will k... | [
0,
0
] | [] | [] | [
"dataframe",
"datetime",
"pandas",
"python"
] | stackoverflow_0074300512_dataframe_datetime_pandas_python.txt |
Q:
Choose a file starting with a given string
In a directory I have a lot of files, named more or less like this:
001_MN_DX_1_M_32
001_MN_SX_1_M_33
012_BC_2_F_23
...
...
In Python, I have to write a code that selects from the directory a file starting with a certain string. For example, if the string is 001_MN_DX, P... | Choose a file starting with a given string | In a directory I have a lot of files, named more or less like this:
001_MN_DX_1_M_32
001_MN_SX_1_M_33
012_BC_2_F_23
...
...
In Python, I have to write a code that selects from the directory a file starting with a certain string. For example, if the string is 001_MN_DX, Python selects the first file, and so on.
How can... | [
"import os\nprefixed = [filename for filename in os.listdir('.') if filename.startswith(\"prefix\")]\n\n",
"Try using os.listdir,os.path.join and os.path.isfile.\nIn long form (with for loops),\nimport os\npath = 'C:/'\nfiles = []\nfor i in os.listdir(path):\n if os.path.isfile(os.path.join(path,i)) and '001_M... | [
87,
58,
20,
8,
7,
2,
1,
0
] | [] | [] | [
"file",
"python"
] | stackoverflow_0015312953_file_python.txt |
Q:
Update a value of a column through django orm
I'm trying to update a column value through django model, backed legacy db is postgressql,
the column in db is defined as: "numbers integer[] NOT NULL"
in my django application's models.py i have the column as : "numbers = ArrayField(models.IntegerField())"
in the code... | Update a value of a column through django orm | I'm trying to update a column value through django model, backed legacy db is postgressql,
the column in db is defined as: "numbers integer[] NOT NULL"
in my django application's models.py i have the column as : "numbers = ArrayField(models.IntegerField())"
in the code i'm trying to update as below:
user = class_name.o... | [
"AS numbers is a integer field you can only be able to save number(integer) in it. Not a list.\n"
] | [
0
] | [] | [] | [
"django",
"django_models",
"postgresql",
"python"
] | stackoverflow_0074300340_django_django_models_postgresql_python.txt |
Q:
Why are my colliders so unruly and unaccurate? And how can I improve them?
I am having the issue that, my colliders aren't accurate. No matter how I tweak the numbers, they wont work. The eagle, the birds collider is accurate, but the collider of the box/obstacle isn't. The rectangle I use as a collider is the sam... | Why are my colliders so unruly and unaccurate? And how can I improve them? | I am having the issue that, my colliders aren't accurate. No matter how I tweak the numbers, they wont work. The eagle, the birds collider is accurate, but the collider of the box/obstacle isn't. The rectangle I use as a collider is the same size as the image of the box, and should be centered on it, but for some reaso... | [
"See Why is my collision test always returning 'true' and why is the position of the rectangle of the image always wrong (0, 0)?.\nThe instruction surface.blit(self.image, (self.x, self.y)) draws self.image at the topleft position (self.x, self.y):\nclass Box(object): # makes box\n def __init__(self, x, y):\n ... | [
0
] | [] | [] | [
"pygame",
"python"
] | stackoverflow_0074288371_pygame_python.txt |
Q:
ca-certificates Mac OS X
I need to install offlineimap and mu4e on emacs. Problem is configuration. When I run offlineimap I get :
OfflineIMAP 6.5.5
Licensed under the GNU GPL v2+ (v2 or any later version)
Thread 'Account sync Gmail' terminated with exception:
Traceback (most recent call last):
File "/usr/local/Ce... | ca-certificates Mac OS X | I need to install offlineimap and mu4e on emacs. Problem is configuration. When I run offlineimap I get :
OfflineIMAP 6.5.5
Licensed under the GNU GPL v2+ (v2 or any later version)
Thread 'Account sync Gmail' terminated with exception:
Traceback (most recent call last):
File "/usr/local/Cellar/offline-imap/6.5.6/libexe... | [
"I had a similar problem (on MacOS 10.10.2, openssl 1.0.2 and offlineimap 6.5.5 both from homebrew) and couldn't get the dummy certificate solution to work. However, I found a certfile that makes offlineimap stop complaining in /usr/local/etc/openssl/cert.pem (which is put there during the installation of openssl t... | [
45,
24,
15,
12,
8,
5,
2,
0,
0
] | [] | [] | [
"macos",
"python",
"ssl"
] | stackoverflow_0024675167_macos_python_ssl.txt |
Q:
How do I attribute different color for each of the django model choices
Following is my models.py:
class Table(models.Model):
choices = (
("BUY", "Buy"),
("HOLD", "Hold"),
("SELL", "Sell"),
)
remarks = models.CharField(max_length=200, choices=choices, default="HOLD", null=True)
I... | How do I attribute different color for each of the django model choices | Following is my models.py:
class Table(models.Model):
choices = (
("BUY", "Buy"),
("HOLD", "Hold"),
("SELL", "Sell"),
)
remarks = models.CharField(max_length=200, choices=choices, default="HOLD", null=True)
Is there some way to attribute different color for each of the choices? For in... | [
"First, update your views.py such that it passes your desired colors to the template.\ndef table(request):\n table = Table.objects.all().order_by('-date')\n buycolor = \"green\"\n holdcolor = \"yellow\"\n sellcolor = \"red\"\n return render(request, 'scanner/table.html', {\n 'table':table,\n ... | [
1,
0
] | [] | [] | [
"django",
"django_models",
"python"
] | stackoverflow_0065204120_django_django_models_python.txt |
Q:
how to queue fast api requests for subsequent processing without using message brokers?
There is a fast api service that receives an archive with files and a url for sending the result. Since speech recognition is a time-consuming process. Now I'm sending a request, waiting for it to process, return the result, an... | how to queue fast api requests for subsequent processing without using message brokers? | There is a fast api service that receives an archive with files and a url for sending the result. Since speech recognition is a time-consuming process. Now I'm sending a request, waiting for it to process, return the result, and only then I can send the next request. It is necessary to receive a request for processing,... | [
"If I've understood your question you are just looking for a queuing mechanism for receiving, buffering, and executing tasks that you can slot your own tasks into using asyncio.Queue.\nThis accepts and buffers actions in inq, taking 1 at a time and processing it via procq. This is a runnable snippet, the output sho... | [
0
] | [] | [] | [
"fastapi",
"python",
"python_asyncio"
] | stackoverflow_0074299631_fastapi_python_python_asyncio.txt |
Q:
Minimum Euclidean distance between points in two different Numpy arrays, not within
I have two arrays of x-y coordinates, and I would like to find the minimum Euclidean distance between each point in one array with all the points in the other array. The arrays are not necessarily the same size. For example:
xy1=nu... | Minimum Euclidean distance between points in two different Numpy arrays, not within | I have two arrays of x-y coordinates, and I would like to find the minimum Euclidean distance between each point in one array with all the points in the other array. The arrays are not necessarily the same size. For example:
xy1=numpy.array(
[[ 243, 3173],
[ 525, 2997]])
xy2=numpy.array(
[[ 682, 2644],
[ 277, 2651... | [
"(Months later)\nscipy.spatial.distance.cdist( X, Y )\ngives all pairs of distances,\nfor X and Y 2 dim, 3 dim ...\nIt also does 22 different norms, detailed\nhere .\n# cdist example: (nx,dim) (ny,dim) -> (nx,ny)\n\nfrom __future__ import division\nimport sys\nimport numpy as np\nfrom scipy.spatial.distance import ... | [
46,
30,
15,
5,
5,
0,
0,
0,
0
] | [] | [] | [
"euclidean_distance",
"numpy",
"python"
] | stackoverflow_0001871536_euclidean_distance_numpy_python.txt |
Q:
Save datafram as csv and maintain number format
I want to save a dataframe which has numeric values into a csv using df.to.csv command in pandas and avoid conversion of the values to scientific notation.
I have a dataframe which looks like this:
d = {'CookieID': [8034109298000000000, 6180638274000000000], 'Junk': ... | Save datafram as csv and maintain number format | I want to save a dataframe which has numeric values into a csv using df.to.csv command in pandas and avoid conversion of the values to scientific notation.
I have a dataframe which looks like this:
d = {'CookieID': [8034109298000000000, 6180638274000000000], 'Junk': [CryptIDsOptOut, CryptIDsOptOut]}
When I save it to ... | [
"dffound.to_csv(r'C:\\Users\\Output_4.csv', index=False, header=False, sep='\\t',float_format='%.0f')\n\n"
] | [
0
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074300933_pandas_python.txt |
Q:
Python - use txt file to fetch data from excel and extra values
I have a text file which consists of data including some random data among which there are "names" that exist in separate excel file as rows in a column. What I need to do is to compare strings from txt file and excel and output those that are matchin... | Python - use txt file to fetch data from excel and extra values | I have a text file which consists of data including some random data among which there are "names" that exist in separate excel file as rows in a column. What I need to do is to compare strings from txt file and excel and output those that are matching along with some extra data corresponding to that row from different... | [
"You should open the text and excel file like so:\ntextdata = open(path_to_file, \"r\")\nexceldata = open(path_to_file, \"r\")\n\nThen put the data in lists:\ntextdatalist = [line.split(',') for line in textdata.readlines()]\nexceldatalist = [line.split(',') for line in exceldata.readlines()]\n\nAnd then compare th... | [
0
] | [] | [] | [
"excel",
"pandas",
"python",
"string"
] | stackoverflow_0074300821_excel_pandas_python_string.txt |
Q:
How to scrape web site span class problem?
I am a new bee in programing. I try to exctract some data using Beautifulsoup on web site called whatclinic.
Link: https://www.whatclinic.com/dentists/turkey/mugla-province/yalikavak/dt-ufuk-kayhan
On the given web site there some ratings, comments about the clinics which... | How to scrape web site span class problem? | I am a new bee in programing. I try to exctract some data using Beautifulsoup on web site called whatclinic.
Link: https://www.whatclinic.com/dentists/turkey/mugla-province/yalikavak/dt-ufuk-kayhan
On the given web site there some ratings, comments about the clinics which i like to grab. I try so many ways including re... | [
"Your code and you should always include these details into your question, will give you:\nAttributeError: ResultSet object has no attribute 'contents'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()?\n\n\nSo you have to iterate the ResultSet... | [
0
] | [] | [] | [
"beautifulsoup",
"html",
"python",
"web_scraping"
] | stackoverflow_0074300455_beautifulsoup_html_python_web_scraping.txt |
Q:
Python tempfile.TemporaryDirectory() cleanup crashes with PermissionError and NotADirectoryError
Premise
I'm trying to convert some PDF to images via pdf2image and poppler, to then run some computervision tasks on.
The conversion itsself works fine.
However, the conversion creates some artifacts for each page in t... | Python tempfile.TemporaryDirectory() cleanup crashes with PermissionError and NotADirectoryError | Premise
I'm trying to convert some PDF to images via pdf2image and poppler, to then run some computervision tasks on.
The conversion itsself works fine.
However, the conversion creates some artifacts for each page in the pdf as it is being converted, which I would like to be deleted at the end of the function. To facil... | [
"While experimenting some more and writing this question, I found a working solution:\n with tempfile.TemporaryDirectory() as path:\n images_from_path: [Image] = convert_from_path(\n os.path.join(path_superfolder, f\"calibration_target_{exam_type}.pdf\"),\n size=(2480, 3508),... | [
0
] | [] | [] | [
"code_cleanup",
"pdf2image",
"python",
"temporary_files"
] | stackoverflow_0074301098_code_cleanup_pdf2image_python_temporary_files.txt |
Q:
Conditional creation of a new column using another column value in Python
I have the following dataframe
CUI CODE SAB TTY STR cui_name
C0000772 10028183 MDR LLT Multiple congenital anomalies Multiple congenital anomalies
C0000772 10002585 MDR LLT Anomalies congenital mu... | Conditional creation of a new column using another column value in Python | I have the following dataframe
CUI CODE SAB TTY STR cui_name
C0000772 10028183 MDR LLT Multiple congenital anomalies Multiple congenital anomalies
C0000772 10002585 MDR LLT Anomalies congenital multiple Multiple congenital anomalies
C0000772 10002621 MDR LLT Anomaly con... | [
"Try this:\ndf['MSH_ID'] = df.loc[df['SAB'] == 'MSH', 'CODE'].values[0]\ndf = df[~(df['SAB']=='MSH')]\nprint(df)\n\n CUI CODE SAB TTY STR cui_name MSH_ID\n0 C0000772 10028183 MDR LLT Multiple congenital anomalies Multiple congenital anom... | [
1
] | [] | [] | [
"dataframe",
"python"
] | stackoverflow_0074300952_dataframe_python.txt |
Q:
I want to generate any view of android phone as an image and also share that generated image via whatsapp, skype and mail
Here is my code can anybody suggest me what to do also NOTE: My app only supports from android 6 to 10 devices only so suggest me accordingly
private fun shareInvoice(){
binding.consLayout... | I want to generate any view of android phone as an image and also share that generated image via whatsapp, skype and mail | Here is my code can anybody suggest me what to do also NOTE: My app only supports from android 6 to 10 devices only so suggest me accordingly
private fun shareInvoice(){
binding.consLayout1.isDrawingCacheEnabled = true
binding.consLayout1.buildDrawingCache()
binding.consLayout1.drawingCacheQuality = View.D... | [
"Follow the method\nprivate Uri saveImageExternal(Bitmap image) {\n //TODO - Should be processed in another thread\n Uri uri = null;\n try {\n File file = new File(getExternalFilesDir(Environment.DIRECTORY_PICTURES), \"to-share.png\");\n FileOutputStream stream = new FileOutputStream(file);\n... | [
0,
0
] | [] | [] | [
"android",
"api",
"java",
"kotlin",
"python"
] | stackoverflow_0074288852_android_api_java_kotlin_python.txt |
Q:
Image Translation opertaions. ValueError: setting an array element with a sequence
Im learning about digital image processing, but when I perform image translation operations, I get an error message. i get the code from teacher, but somehow it keeps giving me that error message.
Thank you very much!
TypeError: on... | Image Translation opertaions. ValueError: setting an array element with a sequence | Im learning about digital image processing, but when I perform image translation operations, I get an error message. i get the code from teacher, but somehow it keeps giving me that error message.
Thank you very much!
TypeError: only size-1 arrays can be converted to Python scalars
and
ValueError: setting an array e... | [
"I think that img here is probably an RGB or RGBA image, which means it has shape (R, C, 3) or (R, C, 4). So when you write\nimg_q = np.zeros((img.shape[0]+ytrans,img.shape[1]+xtrans))\n\nyou are creating an image of shape (R', C'), and then when you write:\nimg_q[r+ytrans,c+xtrans] = img[r,c]\n\nYou are setting a ... | [
0
] | [] | [] | [
"numpy",
"python",
"scikit_image"
] | stackoverflow_0074300546_numpy_python_scikit_image.txt |
Q:
How to copy InMemoryUploadedFile object to disk
I am trying to catch a file sent with form and perform some operations on it before it will be saved. So I need to create a copy of this file in temp directory, but I don't know how to reach it. Shutil's functions fail to copy this file, since there is no path to it.... | How to copy InMemoryUploadedFile object to disk | I am trying to catch a file sent with form and perform some operations on it before it will be saved. So I need to create a copy of this file in temp directory, but I don't know how to reach it. Shutil's functions fail to copy this file, since there is no path to it. So is there a way to do this operation in some other... | [
"This is similar question, it might help.\nimport os\nfrom django.core.files.storage import default_storage\nfrom django.core.files.base import ContentFile\nfrom django.conf import settings\n\ndata = request.FILES['image'] # or self.files['image'] in your form\n\npath = default_storage.save('tmp/somename.mp3', Cont... | [
65,
30,
8,
5,
4,
2
] | [] | [] | [
"django",
"file_storage",
"file_upload",
"python"
] | stackoverflow_0003702465_django_file_storage_file_upload_python.txt |
Q:
Pandas DataFrame group by month and Count results if 0
I have two pandas Dataframe
Customer
CustomerID
1
2
3
Orders
OrderId CustomerID Date
1 1 2022-01-02
2 1 2022-01-04
3 2 2022-02-03
4 2 2022-03-03
I wou... | Pandas DataFrame group by month and Count results if 0 | I have two pandas Dataframe
Customer
CustomerID
1
2
3
Orders
OrderId CustomerID Date
1 1 2022-01-02
2 1 2022-01-04
3 2 2022-02-03
4 2 2022-03-03
I would like to transpose my results like this. For each month, I... | [
"Use GroupBy.size with DataFrame.reindex by new MultiIndex created by MultiIndex.from_product:\nOrders['Date'] = pd.to_datetime(Orders['Date']).dt.to_period('m')\n\nmux = pd.MultiIndex.from_product([Orders['Date'].unique(), Customer['CustomerID']], \n names=['Date','CustomerID'])\ndf... | [
1
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074301087_pandas_python.txt |
Q:
Combine today date and input type=time in DateTimeField in Django
Here I am using Django 3.0 and Python 3.7
Here I am getting time from django template and i need to combine this time and today date as save it in database as DateTimeField
Here is my models.py
class WorkTime(models.Model):
client = models.Forei... | Combine today date and input type=time in DateTimeField in Django | Here I am using Django 3.0 and Python 3.7
Here I am getting time from django template and i need to combine this time and today date as save it in database as DateTimeField
Here is my models.py
class WorkTime(models.Model):
client = models.ForeignKey(Client,on_delete=models.CASCADE)
start_time = models.DateTime... | [
"Use datetime.strftime and datetime.combine for it. For your code :\nclass AddWorkTimeView(View):\n def get(self, request):\n client = request.user.client\n return render(request,'core/work_time_form.django.html')\n\n\n def post(self, request):\n c = request.user.client\n\n today =... | [
0,
0
] | [] | [] | [
"django",
"django_templates",
"python"
] | stackoverflow_0074298778_django_django_templates_python.txt |
Q:
Count consecutive occurences of values varying in length in a numpy array
Say I have a bunch of numbers in a numpy array and I test them based on a condition returning a boolean array:
np.random.seed(3456)
a = np.random.rand(8)
condition = a>0.5
And with this boolean array I want to count all of the lengths of co... | Count consecutive occurences of values varying in length in a numpy array | Say I have a bunch of numbers in a numpy array and I test them based on a condition returning a boolean array:
np.random.seed(3456)
a = np.random.rand(8)
condition = a>0.5
And with this boolean array I want to count all of the lengths of consecutive occurences of True. For example if I had [True,True,True,False,False,... | [
"If you already have a numpy array, this is probably going to be faster:\n>>> condition = np.array([True,True,True,False,False,True,True,False,True])\n>>> np.diff(np.where(np.concatenate(([condition[0]],\n condition[:-1] != condition[1:],\n [Tr... | [
53,
21,
3,
0,
0
] | [] | [] | [
"arrays",
"numpy",
"python"
] | stackoverflow_0024342047_arrays_numpy_python.txt |
Q:
How to detect if Chrome browser is headless in selenium?
I'm writing a selenium test which has different behavior given whether the chrome browser was started as headless or not. My question is in my test how do I detect if the browser is headless for my conditional flow?
A:
https://antoinevastel.com/bot%20detec... | How to detect if Chrome browser is headless in selenium? | I'm writing a selenium test which has different behavior given whether the chrome browser was started as headless or not. My question is in my test how do I detect if the browser is headless for my conditional flow?
| [
"https://antoinevastel.com/bot%20detection/2018/01/17/detect-chrome-headless-v2.html#:~:text=In%20order%20to%20automate%20Chrome,possible%20to%20detect%20Chrome%20headless.\ndriver.execute_script(\"return navigator.plugins.length == 0\")\n\n",
"I just find this way for that.\nOptions its a list, so you have to fi... | [
5,
1,
0
] | [
"You need to explicitly add the argument \"--headless\" to your chromeOptions object when starting an instance of chrome headlessly. \nIf you're writing, for example, a test framework for a website you probably have some sort of browser creator class that is able to give you different browsers to work with. Why not... | [
-1
] | [
"google_chrome",
"python",
"selenium",
"selenium_chromedriver",
"selenium_webdriver"
] | stackoverflow_0051327306_google_chrome_python_selenium_selenium_chromedriver_selenium_webdriver.txt |
Q:
How do i find a sequence of datetime values in a list, with at least a certain timedelta?
How do I get a sequence of datetime values out of a sorted list, which all have a difference in time of at least x seconds? The sequence should always start at the first value of the list and include the last value, which had... | How do i find a sequence of datetime values in a list, with at least a certain timedelta? | How do I get a sequence of datetime values out of a sorted list, which all have a difference in time of at least x seconds? The sequence should always start at the first value of the list and include the last value, which had a difference bigger than x seconds to the second last value in the sequence.
Example with x = ... | [
"The most straight forward way it to use a loop and compare times using timedelta.\nfrom datetime import datetime, timedelta\nfrom math import ceil\nimport numpy as np\n\ninput_arr = np.array([datetime(1981,1,1,0,0,0,40),\n datetime(1981,1,1,0,0,0,80),\n datetime(1981,1,1,0... | [
1
] | [] | [] | [
"datetime",
"python"
] | stackoverflow_0074300891_datetime_python.txt |
Q:
in a sequence, how to compare two added variables?
the problem is more specific.
in a given list sequence. the numbers I want to compare are a variable(let's call it current varaible) and the variable before the current variable (let's call it before varaible). which means if the current variable's index is 1, the... | in a sequence, how to compare two added variables? | the problem is more specific.
in a given list sequence. the numbers I want to compare are a variable(let's call it current varaible) and the variable before the current variable (let's call it before varaible). which means if the current variable's index is 1, then the before variable is 0.
but I want that the index of... | [
"There are so many things wrong with your program its difficult to know where to start.\nYou don't need an index n if you are only adding things to the end of a list or dealing with the last element of a list.\nYour while can be while True: since you never alter loop.\nYou are trying to compare the last two items i... | [
1
] | [] | [] | [
"compare",
"list",
"loops",
"python",
"sequence"
] | stackoverflow_0074301008_compare_list_loops_python_sequence.txt |
Q:
Display result with 2 decimal points, without 0 at the end
currently i get display:
cup's to litre 0.30
but it needs to be 0.3
there is different unit conversion at the exercise, which need to be displayed with 2 decimal points
This is the code i have
tilavuus = float(input("Anna muunnettava tilavuus desimaaliluku... | Display result with 2 decimal points, without 0 at the end | currently i get display:
cup's to litre 0.30
but it needs to be 0.3
there is different unit conversion at the exercise, which need to be displayed with 2 decimal points
This is the code i have
tilavuus = float(input("Anna muunnettava tilavuus desimaalilukuna: "))
Cup_to_litra = tilavuus*0.24
print(f"Cup't muutettuina... | [
"Try using f\"Cup't muutettuina litroiksi: {Cup_to_litra:.2g}\"\n"
] | [
1
] | [] | [] | [
"python"
] | stackoverflow_0074301221_python.txt |
Q:
how to lookup between two dataframes and update the value in another df
I have a dataframe df1 like below -
|email_id| date |
|abc@gmail.com | ['2022-04-09'] |
|ABC@gmail.com | [nan]
|def@gmail.com | ['2022-09-21','2022-03-09'] |
|ghi@gmail.com | [nan, '2022-03-29'] |
|jkl@gmail.com | [nan] |
|mnp@gmail.com | [nan... | how to lookup between two dataframes and update the value in another df | I have a dataframe df1 like below -
|email_id| date |
|abc@gmail.com | ['2022-04-09'] |
|ABC@gmail.com | [nan]
|def@gmail.com | ['2022-09-21','2022-03-09'] |
|ghi@gmail.com | [nan, '2022-03-29'] |
|jkl@gmail.com | [nan] |
|mnp@gmail.com | [nan,'2022-09-01']
Another df df2 -
|email_id| status |
|abc@gmail.com | 0 |
|de... | [
"First use DataFrame.explode for column from lists, then create compare for missing values with aggregate max for mapping Series, use Series.map with replace non matched values to original column df2['status']:\ndf = df1.explode('date')\ns = df['date'].isna().astype(int).groupby(df['email_id'].str.lower()).max()\np... | [
1
] | [] | [] | [
"dataframe",
"lookup",
"pandas",
"python"
] | stackoverflow_0074300650_dataframe_lookup_pandas_python.txt |
Q:
Pretty printing of paths in python
I want to know if there is a function in python that can pretty print a file path with a maximum number of characters
pretty_print("C:\Program Files\Common Files\Adobe\Keyfiles\dynamiclink\7.0\ConflictingP.xml",max_length=35)
output
C:\Program Files\...\ConflictingP.xml
conditi... | Pretty printing of paths in python | I want to know if there is a function in python that can pretty print a file path with a maximum number of characters
pretty_print("C:\Program Files\Common Files\Adobe\Keyfiles\dynamiclink\7.0\ConflictingP.xml",max_length=35)
output
C:\Program Files\...\ConflictingP.xml
conditions:
keep the file name
keep the drive ... | [
"The short answer is no, there is no such path shortening function. There's a few details about how exactly you wanted this done that were missing, but here's a solution that I coded up for you:\nimport os, re\n\nlong_path=\"a/b/names/trying/to/write/long/path/name\"\n\ndef shorten_path(input: str, max_length: int)... | [
1,
1,
1
] | [] | [] | [
"python"
] | stackoverflow_0074300488_python.txt |
Q:
Python- Mocking API request?
What am I doing wrong? I have an extractor that works great but writing the test is stumping me and it's failing. Can anyone help me figure out where I'm going wrong?
from unittest.mock import MagicMock, patch
import pandas as pd
import requests
from my_project.task import extract... | Python- Mocking API request? | What am I doing wrong? I have an extractor that works great but writing the test is stumping me and it's failing. Can anyone help me figure out where I'm going wrong?
from unittest.mock import MagicMock, patch
import pandas as pd
import requests
from my_project.task import extractor
from my_project.tests import u... | [
"After checking the edited question, here is a possible approach. The code under test could be the following:\ndef get_paged_contacts(endpoint: str,\n query_string: typing.Dict[str, typing.Any], \n df: pd.DataFrame) -> pd.DataFrame:\n \"\"\"\n Return the results of ... | [
0
] | [] | [] | [
"api",
"python"
] | stackoverflow_0074292404_api_python.txt |
Q:
Saving output from terminal in txt file and also prints output in terminal
How can I save output from terminal in txt file and also prints output in terminal in the same time?
I tried with python3 script_name > output.txt but this save the output in txt file but nothing happens in terminal. I also have plt.show() ... | Saving output from terminal in txt file and also prints output in terminal | How can I save output from terminal in txt file and also prints output in terminal in the same time?
I tried with python3 script_name > output.txt but this save the output in txt file but nothing happens in terminal. I also have plt.show() and when script ends then it need to show output image, but says the error:
User... | [
"\nI'm using Ubuntu 18.04.\n\nThen you should have access to tee, which you might use following way\npython3 script_name | tee output.txt\n\n"
] | [
1
] | [] | [] | [
"python"
] | stackoverflow_0074301298_python.txt |
Q:
How to access the request object inside a custom logging formatter in Django?
I have setup a custom formatter to log my data into a text file in JSON format:
class CustomJsonFormatter(jsonlogger.JsonFormatter):
def add_fields(self, log_record, record, message_dict):
super(CustomJsonFormatter, self).add_f... | How to access the request object inside a custom logging formatter in Django? | I have setup a custom formatter to log my data into a text file in JSON format:
class CustomJsonFormatter(jsonlogger.JsonFormatter):
def add_fields(self, log_record, record, message_dict):
super(CustomJsonFormatter, self).add_fields(log_record, record, message_dict)
log_record['timestamp'] = datetime.ut... | [
"You can use middleware to attach the request to the thread context, and then access it in your formatter through threadlocals:\nclass RequestMiddleware:\n def __init__(self, get_response):\n self.get_response = get_response\n\n def __call__(self, request):\n self.process_request(request)\n ... | [
0
] | [] | [] | [
"django",
"django_rest_framework",
"python",
"python_logging"
] | stackoverflow_0074198397_django_django_rest_framework_python_python_logging.txt |
Q:
Getting authentication whenever I try to execute bq using python in cloud shell
I'm trying to write a simple bq command using python and while running for the first time the cloud shell is asking authentication permission. I want to pass through that how can it be done
`
from google.cloud import bigquery
from goog... | Getting authentication whenever I try to execute bq using python in cloud shell | I'm trying to write a simple bq command using python and while running for the first time the cloud shell is asking authentication permission. I want to pass through that how can it be done
`
from google.cloud import bigquery
from google.cloud.exceptions import NotFound
from google.cloud import bigquery
from google.oau... | [
"This behavior is due to ADC. ADC is a strategy used by Cloud Client Libraries and Google API Client Libraries to automatically find credentials based on the application environment, and use those credentials to authenticate to Google Cloud APIs.\ngcloud auth application-default login command is used to discover th... | [
0
] | [] | [] | [
"command_line_interface",
"google_bigquery",
"google_cloud_platform",
"python"
] | stackoverflow_0074298509_command_line_interface_google_bigquery_google_cloud_platform_python.txt |
Q:
Hangman game : list.remove is removing the wrong item, but only when all items are the same. If I change them to different ones, it works
So this game is hangman and the list wordFinder holds as many underscores as the letters in the word you are trying to guess. When you guess correctly, it should remove the unde... | Hangman game : list.remove is removing the wrong item, but only when all items are the same. If I change them to different ones, it works | So this game is hangman and the list wordFinder holds as many underscores as the letters in the word you are trying to guess. When you guess correctly, it should remove the underscore respective to the letter you guessed, so that it can then insert it back into it's place. This works fine usually, apart from when you g... | [
"The core of the problem you have experienced is the method you use to remove an item from a list:\nwordFinder.remove(wordFinder[i])\n\nIn case there are multiple occurrences of the same character in wordFinder the first found (.remove(value) searches in the list for value and if it finds one removes it from the li... | [
0
] | [] | [] | [
"list",
"python"
] | stackoverflow_0074301250_list_python.txt |
Q:
How to view all values under single category?
I have a dataframe like this-
Category
Tags
National
Politics, President
sports
Football, tennis
Economy
Inflation
sports
Cricket
I want to see how many tags are in under different category and transform my dataframe into like this -
Category Tags ... | How to view all values under single category? | I have a dataframe like this-
Category
Tags
National
Politics, President
sports
Football, tennis
Economy
Inflation
sports
Cricket
I want to see how many tags are in under different category and transform my dataframe into like this -
Category Tags Count
sports Footbal... | [
"Assuming lists, use:\n(df.explode('Tags')\n .assign(Count=lambda d: d.groupby('Category')['Tags'].transform('count'))\n .sort_values(by='Count', ascending=False, ignore_index=True)\n)\n\nIf you have strings:\n(df.assign(Tags=df['Tags'].str.split(',\\s*'))\n .explode('Tags')\n .assign(Count=lambda d: d.grou... | [
0
] | [] | [] | [
"data_analysis",
"dataframe",
"group_by",
"pandas",
"python"
] | stackoverflow_0074301448_data_analysis_dataframe_group_by_pandas_python.txt |
Q:
Name ' ' is not defined - python
from bunch of files I want to extract some info (code is below), but I came across error: "name 'GH_Pos21X_true' is not defined", full error:
NameError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_6892/2034911737.py in <module>
... | Name ' ' is not defined - python | from bunch of files I want to extract some info (code is below), but I came across error: "name 'GH_Pos21X_true' is not defined", full error:
NameError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_6892/2034911737.py in <module>
38 fullname = os.pa... | [
"You are using the == comparison operator instead of the assignment operator =\nDo this instead\n#elif GH_Design == 'standard':\n #GH_Design_standard = 'x'\n #GH_Design_mirrored = ''\n\n"
] | [
2
] | [] | [] | [
"dataframe",
"excel",
"loops",
"python",
"xml"
] | stackoverflow_0074301413_dataframe_excel_loops_python_xml.txt |
Q:
Writing ec2 describe instance output to csv
Hi I have a dict inside list, want to write the dict to csv.
Using boto3 ec2 client, describe_instance() function. I want to those tags to a csv.
Code I tried,
def write_csv(mode,field_name,value):
with open(report, mode, newline='') as f:
writer = csv.wri... | Writing ec2 describe instance output to csv | Hi I have a dict inside list, want to write the dict to csv.
Using boto3 ec2 client, describe_instance() function. I want to those tags to a csv.
Code I tried,
def write_csv(mode,field_name,value):
with open(report, mode, newline='') as f:
writer = csv.writer(f)
client = session.client('ec2')
response =... | [
"EDIT\nI added the instanceId as requested.\n\nIf you are willing to import pandas, this should work:\nimport pandas as pd\n\nsave_path = 'my_csv_name.csv'\n\nclient = session.client('ec2')\nresponse = client.describe_instances(\n Filters=[\n {\n 'Name': 'instance-id',\n 'Values': [\... | [
0
] | [] | [] | [
"boto3",
"export_to_csv",
"python"
] | stackoverflow_0074301339_boto3_export_to_csv_python.txt |
Q:
Calculate frequency of float values in list Python
I need to calculate frequency of float elements in list. Convert them to int I can't, because I need to manipulate then float values, not int.
My try in the code below:
values = [21.963, 23.4131, 23.7639, 24.3934, 24.5237, 25.2829, 25.394]
df = pd.Series(v... | Calculate frequency of float values in list Python | I need to calculate frequency of float elements in list. Convert them to int I can't, because I need to manipulate then float values, not int.
My try in the code below:
values = [21.963, 23.4131, 23.7639, 24.3934, 24.5237, 25.2829, 25.394]
df = pd.Series(values).value_counts().sort_index().reset_index().reset_i... | [
"from collections import Counter\n\nCounter(values)\n\nOutput:\nCounter({21.963: 1,\n 23.4131: 1,\n 23.7639: 1,\n 24.3934: 1,\n 24.5237: 1,\n 25.2829: 1,\n 25.394: 1})\n\nlist2 = list(Counter(values).values())\nlist2\nOutput:\n\n[1, 1, 1, 1, 1, 1, 1]\n\n",
"Below ar... | [
1,
1
] | [] | [] | [
"dataframe",
"frequency",
"pandas",
"python"
] | stackoverflow_0074301185_dataframe_frequency_pandas_python.txt |
Q:
Python pass elif
I am new to coding in python and want to solve following problem:
I want to return the name if the state is "New" or "Committed", else i want that the code is passing.
In my function I pass a JSON-file "updates", which contains data about the state and the name of the person which changed the stat... | Python pass elif | I am new to coding in python and want to solve following problem:
I want to return the name if the state is "New" or "Committed", else i want that the code is passing.
In my function I pass a JSON-file "updates", which contains data about the state and the name of the person which changed the state of the bug. The stat... | [
"You can merge if states with the key word and, or. For more infomation read this article It is for beginners. One slitly more advanced feature of python is you can breake a line down into a new line simply by adding a backslash. There is no need for an elif if you dont do something in it. If you want to have a ste... | [
0
] | [] | [] | [
"if_statement",
"python"
] | stackoverflow_0074301180_if_statement_python.txt |
Q:
Unpack sympy lambdify function
Below code I have.
from sympy import *
x = symbols('x')
expr = sin(x)
# Use sympy.lambdify() method
f = lambdify(x, expr, "math")
If print(f) its giving '<function _lambdifygenerated at 0x100d643a0>', is there any way to get back the expression(sin(x)) from f?
A:
help(f... | Unpack sympy lambdify function | Below code I have.
from sympy import *
x = symbols('x')
expr = sin(x)
# Use sympy.lambdify() method
f = lambdify(x, expr, "math")
If print(f) its giving '<function _lambdifygenerated at 0x100d643a0>', is there any way to get back the expression(sin(x)) from f?
| [
"help(f) displays:\nHelp on function _lambdifygenerated:\n\n_lambdifygenerated(x)\n Created with lambdify. Signature:\n \n func(x)\n \n Expression:\n \n sin(x)\n \n Source code:\n \n def _lambdifygenerated(x):\n return sin(x)\n\nf.__doc__ is the same string.\nSince we specifi... | [
2,
0
] | [] | [] | [
"python",
"sympy"
] | stackoverflow_0071233183_python_sympy.txt |
Q:
Calling a Google Cloud Function from within Python
I'm trying to call a Google Cloud function from within Python using the following:
import requests
url = "MY_CLOUD_FUNCTON_URL"
data = {'name': 'example'}
response = requests.post(url, data = data)
but I get back the error: Your client does not have permission to... | Calling a Google Cloud Function from within Python | I'm trying to call a Google Cloud function from within Python using the following:
import requests
url = "MY_CLOUD_FUNCTON_URL"
data = {'name': 'example'}
response = requests.post(url, data = data)
but I get back the error: Your client does not have permission to get URL MY_CLOUD_FUNCTON from this server
Does anyone ... | [
"Given a working Cloud Function in HTTP mode which requires authentication in order to be triggered.\nYou need to generate an authentication token and insert it in the header as shown below:\nimport os\nimport json\nimport requests\nimport google.oauth2.id_token\nimport google.auth.transport.requests\n\nos.environ[... | [
6,
4,
0
] | [] | [] | [
"google_cloud_functions",
"google_cloud_platform",
"python",
"python_requests"
] | stackoverflow_0061573102_google_cloud_functions_google_cloud_platform_python_python_requests.txt |
Q:
How can I merge column value in one cell in pandas with respect to another column
I have one data frame.
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'vin':['aaa','aaa','aaa','bbb','ccc','ccc','ddd','eee','eee','fff'],
'module':['ABS','ABS','IPMA','BCCM','HPOC','ABS','ABS','HPOC',... | How can I merge column value in one cell in pandas with respect to another column | I have one data frame.
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'vin':['aaa','aaa','aaa','bbb','ccc','ccc','ddd','eee','eee','fff'],
'module':['ABS','ABS','IPMA','BCCM','HPOC','ABS','ABS','HPOC','ABS','ABS']})
I want to concatenate all values of column module with respect to colum... | [
"You can use groupby.transform with join:\ndf1['New_module'] = df1.groupby('vin')['module'].transform('-'.join)\n\noutput:\n vin module New_module\n0 aaa ABS ABS-ABS-IPMA\n1 aaa ABS ABS-ABS-IPMA\n2 aaa IPMA ABS-ABS-IPMA\n3 bbb BCCM BCCM\n4 ccc HPOC HPOC-ABS\n5 ccc ABS ... | [
0
] | [] | [] | [
"apply",
"group_by",
"pandas",
"python"
] | stackoverflow_0074301599_apply_group_by_pandas_python.txt |
Q:
how to rotate two dimensional array value using numpy in python
Hi all I need to rotate two dimensional array as shown in the given picture. and if we rotate one set of array it should reflect for all the problems if you find out please do help me to solve the issue
input:
output:
Thankyou
I have tried slicing ... | how to rotate two dimensional array value using numpy in python | Hi all I need to rotate two dimensional array as shown in the given picture. and if we rotate one set of array it should reflect for all the problems if you find out please do help me to solve the issue
input:
output:
Thankyou
I have tried slicing method to rotate the values but it doesn't give the correct values
im... | [
"You can use numpy.roll and the DataFrame constructor:\nN = -2\nout = pd.DataFrame(np.roll(df, N, axis=1),\n columns=df.columns, index=df.index)\n\nExample output:\n 0 1 2 3 4 5 6\n0 3 4 5 6 7 1 2\n\nUsed input:\n 0 1 2 3 4 5 6\n0 1 2 3 4 5 6 7\n\n",
"Use this:\n ... | [
0,
0
] | [] | [] | [
"arrays",
"numpy",
"pandas",
"python",
"rotation"
] | stackoverflow_0074301299_arrays_numpy_pandas_python_rotation.txt |
Q:
iterate Multiple URLs one by one in Same API
This route handle three request at a time but upon massive traffic this method fail. Is there any method to handle massive traffic
@app.route('/v1.1/userRegistor', methods=['POST', 'GET'])
def job():
count = 0
data = request.get_json()
numbers = data['number']... | iterate Multiple URLs one by one in Same API | This route handle three request at a time but upon massive traffic this method fail. Is there any method to handle massive traffic
@app.route('/v1.1/userRegistor', methods=['POST', 'GET'])
def job():
count = 0
data = request.get_json()
numbers = data['number']
if count == 0:
api_url = f'https://ap... | [
"Choosing the random from both API responses it's a bad approach. You can randomly choose the URL and fetch the API response from the selected URL.\n@app.route('/v1.1/userRegistor', methods=['POST','GET'])\ndef job():\n data = request.get_json()\n numbers=data['number']\n api_url =f'https://app.simplywhats... | [
-1
] | [
"count = 0\n\n@app.route('/v1.1/userRegistor', methods=['POST', 'GET'])\ndef job():\n global count\n data = request.get_json()\n numbers = data.get('number')\n count_map = {\n 0: f'https://app.simplywhatsapp.com/api/send.php?number={numbers}&type=text&message=Your OTP is %20{valuepi1}&instance_id... | [
-1
] | [
"flask",
"python"
] | stackoverflow_0074284943_flask_python.txt |
Q:
Get values based on variable character position and length
Hope you can help me figure out the best solution to this. I have this file with a certain column('RAW') which contains data like this - STARTNA03N010110FIRST_NAME0211MIDDLE_NAME0309LAST_NAME0501S060829041987070110803PHL090101001M.....END
Basically after S... | Get values based on variable character position and length | Hope you can help me figure out the best solution to this. I have this file with a certain column('RAW') which contains data like this - STARTNA03N010110FIRST_NAME0211MIDDLE_NAME0309LAST_NAME0501S060829041987070110803PHL090101001M.....END
Basically after START, a segment for Name details should be extracted. With segme... | [
"You might want to have a look at regular expressions as they allow to extract only certain set/number of characters, or to implement restrictions like 0-1 times a certain pattern.\nUpdate - Approach of Iteratively building up the regex similiar to what your code is already doing:\nimport re\nraw = 'STARTNA03N01011... | [
1
] | [] | [] | [
"dataframe",
"pandas",
"python"
] | stackoverflow_0074300315_dataframe_pandas_python.txt |
Q:
finding possible entries in Sudoku empty cells
I have been packaging a script to calculate all possible entries in the empty cells of a sudoku game. While the algorithm to screen the vertical column and the horizontal row works, it seems that my script is not able to screen the relevant box where the empty cell is... | finding possible entries in Sudoku empty cells | I have been packaging a script to calculate all possible entries in the empty cells of a sudoku game. While the algorithm to screen the vertical column and the horizontal row works, it seems that my script is not able to screen the relevant box where the empty cell is located.
The code that I am using is the following:... | [
"My general comments:\n\nSeems like you are trying to append to a list which might or might\nnot be defined outside of the possible() function (it's not in the supplied code).\nHowever, as it is\nnot defined within the scope of that function, you generally can't\naccess it from the inside. Related read.)\nAlso you ... | [
0,
0
] | [] | [] | [
"append",
"list",
"python",
"return",
"sudoku"
] | stackoverflow_0073291535_append_list_python_return_sudoku.txt |
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