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:
ImportError: cannot import name 'get_config' from 'tensorflow.python.eager.context'
My notebook was working up till today. At the beginning of my colab notebook I install tf-nightly, but now it is giving me this error:
---------------------------------------------------------------------------
ImportError ... | ImportError: cannot import name 'get_config' from 'tensorflow.python.eager.context' | My notebook was working up till today. At the beginning of my colab notebook I install tf-nightly, but now it is giving me this error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-589c442233c5> in... | [
"Instead of:\nimport keras\n\nTry:\nfrom tensorflow import keras \n\n",
"These commands fixed the issue:\npip install --upgrade tensorflow\npip install --upgrade tensorflow-gpu\n\n",
"Try the version of Keras 2.3.1\npip install keras==2.3.1\nthen also install that\npip install git+https://www.github.com/keras-t... | [
58,
36,
26,
15,
6,
6,
4,
4,
2,
1,
1,
1,
1,
0,
0
] | [] | [] | [
"keras",
"python",
"tensorflow"
] | stackoverflow_0066964492_keras_python_tensorflow.txt |
Q:
Reading a TDMS file (LabVIEW) in the form of a matrix
I am trying to read a relatively large TDMS file (LabVIEW) and I am having a few difficulties. The file is a 50x50 matrix (2500 elements) with two main variables: ROT in the vertical direction and L in the horizontal direction. If you open the TDMS with excel, ... | Reading a TDMS file (LabVIEW) in the form of a matrix | I am trying to read a relatively large TDMS file (LabVIEW) and I am having a few difficulties. The file is a 50x50 matrix (2500 elements) with two main variables: ROT in the vertical direction and L in the horizontal direction. If you open the TDMS with excel, it looks like this.
Also, the info data is here:
The code... | [
"I guess there is mistype in code, instead of \"channels\" indeed you use \"channel\" (for channels in group.channels():).\nBut overall, you could convert whole group to dataframe:\nfor group in tdms_file.groups():\n df = tdms_file.object(group).as_dataframe()\n\nOr you could even read complete file as dataframe... | [
0
] | [] | [] | [
"labview",
"matrix",
"python",
"python_3.x"
] | stackoverflow_0074144798_labview_matrix_python_python_3.x.txt |
Q:
Python Datetime conversion for excel dataframe
Hello,
I am trying to extract date and time column from my excel data. I am getting column as DataFrame with float values, after using pandas.to_datetime I am getting date with different date than actual date from excel. for example, in excel starting date is 01.01.19... | Python Datetime conversion for excel dataframe |
Hello,
I am trying to extract date and time column from my excel data. I am getting column as DataFrame with float values, after using pandas.to_datetime I am getting date with different date than actual date from excel. for example, in excel starting date is 01.01.1901 00:00:00 but in python I am getting 1971-01-03 0... | [
"Your input is fractional days, so there's actually no need to convert to datetime if you want the duration in seconds relative to the first entry. Subtract that from the rest of the column and multiply by the number of seconds in a day:\nimport pandas as pd\n\ndf = pd.DataFrame({\"Datum/Zeit\": [367.0, 367.010417,... | [
0
] | [] | [] | [
"datetime",
"pandas",
"python",
"timedelta"
] | stackoverflow_0074205015_datetime_pandas_python_timedelta.txt |
Q:
Get latest item date where item field_1 & item field_2 have duplicates
I'm using Django 4.0, and Python 3.8.
I have a product that has a modification date, department name and designation.
I want to retrieve each product but, for products that have the same designation and the same department, I only want to retri... | Get latest item date where item field_1 & item field_2 have duplicates | I'm using Django 4.0, and Python 3.8.
I have a product that has a modification date, department name and designation.
I want to retrieve each product but, for products that have the same designation and the same department, I only want to retrieve the last entry.
Here is what i have now:
products = Product.objects.all(... | [
"If you're using a PostgreSQL database, use the distinct() method on your QuerySet (link to Django documentation) to \"eliminate duplicate rows from the query results\".\nIn your case:\nproducts = Product.objects.all().order_by('designation', 'department').distinct('designation', 'department')\n\nIf you're using an... | [
0
] | [] | [] | [
"django",
"django_queryset",
"python"
] | stackoverflow_0074204756_django_django_queryset_python.txt |
Q:
How to add a new row and new column to a multiindex Pandas dataframe?
I try to use .loc to create a new row and a new column to a multiindex Pandas dataframe, by specifying all the axis. The problem is that it creates the new index without the new column, and at the same time throws an obscur KeyError: 6.
How coul... | How to add a new row and new column to a multiindex Pandas dataframe? | I try to use .loc to create a new row and a new column to a multiindex Pandas dataframe, by specifying all the axis. The problem is that it creates the new index without the new column, and at the same time throws an obscur KeyError: 6.
How could I do that ? A one line solution whould be much appreciated.
> df
... | [
"Here is problem with missing values, possible hack solution with assign empty string and rename:\ndf.loc[('', 'NTE', 'rural'), 'population'] = 1000\nprint (df.index)\nMultiIndex([(nan, 'NTE', 'urban'),\n ( '', 'NTE', 'rural')],\n names=['city', 'code', 'type'])\n\ndf = df.rename({'':np.nan}, l... | [
3
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074205236_pandas_python.txt |
Q:
How to shorten similar Python import statements?
I've a large custom project package for Digital-Assistant program in Python.
In order to use several files in other sub-packages of same lib, I've to import many files having same sub-path in the import statement, which makes it look redundant.
For example :
from my... | How to shorten similar Python import statements? | I've a large custom project package for Digital-Assistant program in Python.
In order to use several files in other sub-packages of same lib, I've to import many files having same sub-path in the import statement, which makes it look redundant.
For example :
from mylibs.master_lib.digital_assistant.web_bots.google_bot ... | [
"These situations occur in case of huge projects like Semi-Detached and Embedded types of projects according to COCOMO Model\nMethod 1\nMake use of exec function, f-strings and for loop to achieve this\n\nThis method is useful in case of large amount of imports which has no desire to maintain readability\n\nfor mod... | [
0
] | [] | [] | [
"import",
"python",
"python_3.x"
] | stackoverflow_0070132378_import_python_python_3.x.txt |
Q:
how to access index of the test in pytest.parametrize
These decorators make 6 tests:
@pytest.mark.parametrize("x", [0, 1])
@pytest.mark.parametrize("y", [2, 3])
@pytest.mark.parametrize("z", [4, 5])
How inspect pytest to get current index or some ID of the test, inside the test body?
A:
ok, I found it:
@pytest.... | how to access index of the test in pytest.parametrize | These decorators make 6 tests:
@pytest.mark.parametrize("x", [0, 1])
@pytest.mark.parametrize("y", [2, 3])
@pytest.mark.parametrize("z", [4, 5])
How inspect pytest to get current index or some ID of the test, inside the test body?
| [
"ok, I found it:\n@pytest.mark.parametrize(\"x\", [pytest.param(0, id=\"first_test\"), 1])\n@pytest.mark.parametrize(\"y\", [2, 3])\n@pytest.mark.parametrize(\"z\", [4, 5])\ndef test_it(request, x, y, z):\n if request.node.nodename == \"test_it[first_test]\":\n # something special \n\n",
"If you don't d... | [
1,
0
] | [] | [] | [
"pytest",
"python"
] | stackoverflow_0052895439_pytest_python.txt |
Q:
I Want to use input while program is running in while loop
I want it so that my program will take input while running without disturbing the execution of program! If possible I would also like to take input while print statements are continuously running and it would be nice if program is small!
I tried running in... | I Want to use input while program is running in while loop | I want it so that my program will take input while running without disturbing the execution of program! If possible I would also like to take input while print statements are continuously running and it would be nice if program is small!
I tried running input in while loop of python but that did not work as the rest of... | [
"You are thinking of Async programming, I'am not quiet experienced with that using Python, but do research within that topic.\n"
] | [
0
] | [] | [] | [
"input",
"python",
"user_input"
] | stackoverflow_0074205335_input_python_user_input.txt |
Q:
Python - how to check if a string is binary
feel this might be a naive question, but I was not able to find an answer. How to check if the var variable in following example is a binary string or regular string? I think try: var.decode('ascii') except: ... can do the job, but is there a better way?
var = b"abc"
A:... | Python - how to check if a string is binary | feel this might be a naive question, but I was not able to find an answer. How to check if the var variable in following example is a binary string or regular string? I think try: var.decode('ascii') except: ... can do the job, but is there a better way?
var = b"abc"
| [
"You can use the isinstance() built-in function for that.\nThe function takes 2 parameters. The first is the object you want to check and the second is the type you want to check against.\n\nisinstance(object, classinfo)\nReturn True if the object argument is an instance of the classinfo argument, or of a (direct, ... | [
1
] | [] | [] | [
"python",
"string"
] | stackoverflow_0074205146_python_string.txt |
Q:
Weird version issue with python and VS code
-Background-
I was having an issue with “import pygame” not working after I updated to python 3.11. So, I thought it was a version issue. VS code says the version is 3.11, but when I typed “python —-version” into my terminal, it said 3.9.12. Why is it showing an older ve... | Weird version issue with python and VS code | -Background-
I was having an issue with “import pygame” not working after I updated to python 3.11. So, I thought it was a version issue. VS code says the version is 3.11, but when I typed “python —-version” into my terminal, it said 3.9.12. Why is it showing an older version than I installed?
-What I Tried-
To try and... | [
"You could try which python.\nYou should also be able to select which python interpreter you want to use in vs code. For me clicking on the version number in the bottom bar of VS code opens up the 'select interpreter' option. You might also use (Ctrl+Shift+P).\nUltimately, it's a good practice to set up an environm... | [
0,
0
] | [] | [] | [
"python",
"terminal",
"windows"
] | stackoverflow_0074202273_python_terminal_windows.txt |
Q:
How to combine categorical data into different group in pandas
I have a dataframe like this:
TermReason Termcount
1 Another position 20
2 unhappy 14
3 more money 11
4 career change 9
I want to combine Another position & career change into Better ... | How to combine categorical data into different group in pandas | I have a dataframe like this:
TermReason Termcount
1 Another position 20
2 unhappy 14
3 more money 11
4 career change 9
I want to combine Another position & career change into Better oppotinutity and also sum up their numerical data, so does the other... | [
"Considering that the original dataframe is df, the following will do the work\nimport pandas as pd\nimport numpy as np\n\ndf['Termgroup'] = np.where(df['TermReason'].isin(['Another position', 'career change']), 'Better oppotinutity', 'Unsatisfied with job')\ndf = df.groupby('Termgroup').sum().reset_index()\n\n[Out... | [
2,
1
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074205320_pandas_python.txt |
Q:
tcp/ip socket receiver decode type
I have use socket TCP/IP to receive a bit stream of an FPGA board in Octave and Python.
In Octave, with
[data_tcp1,len_tcp]=recv(client_tcp, 70848, MSG_WAITALL);
I received the data with dimension 70848 with datatype is uint8
Now In python, I would have the same behavior like Oct... | tcp/ip socket receiver decode type | I have use socket TCP/IP to receive a bit stream of an FPGA board in Octave and Python.
In Octave, with
[data_tcp1,len_tcp]=recv(client_tcp, 70848, MSG_WAITALL);
I received the data with dimension 70848 with datatype is uint8
Now In python, I would have the same behavior like Octave, so I tried:
data_tcp1 = client_tcp.... | [
".decode method of bytes instance is used for getting str (string) based on that bytes instance. If you wish to turn each byte into number you might use list, consider following simple example\ndata = b\"\\x00\\x0F\\xFF\"\nvalues = list(data)\nprint(values) # [0, 15, 255]\n\n"
] | [
0
] | [] | [] | [
"decode",
"octave",
"python",
"sockets",
"tcp"
] | stackoverflow_0074205182_decode_octave_python_sockets_tcp.txt |
Q:
Installation of ttk Themes for Tkinter
i'm currently trying to make some of my applications i built using tkinter look better. I read that you can change the theme of tkinter using ttk and got it to work with the built-in themes.
import tkinter.ttk as ttk
from tkinter import *
import ttkthemes
root = Tk()
root.ge... | Installation of ttk Themes for Tkinter | i'm currently trying to make some of my applications i built using tkinter look better. I read that you can change the theme of tkinter using ttk and got it to work with the built-in themes.
import tkinter.ttk as ttk
from tkinter import *
import ttkthemes
root = Tk()
root.geometry('400x200')
ttk.Style().theme_use('al... | [
"In your python terminal, type 'pip install ttkthemes'. Now the exemple document should work.\n"
] | [
0
] | [] | [] | [
"python",
"themes",
"tkinter"
] | stackoverflow_0066233714_python_themes_tkinter.txt |
Q:
Launching Tensorboard - NameError: name 'tensorboard' is not defined
I'm attempting to launch tensorboard and view a graph I created.
import tensorflow as tf
logPath = "C:\\path\\to\\log" -- can also be /path/to/log
sess = tf.Session()
file_writer = tf.summary.FileWriter(logPath, sess.graph)
This code runs fine... | Launching Tensorboard - NameError: name 'tensorboard' is not defined | I'm attempting to launch tensorboard and view a graph I created.
import tensorflow as tf
logPath = "C:\\path\\to\\log" -- can also be /path/to/log
sess = tf.Session()
file_writer = tf.summary.FileWriter(logPath, sess.graph)
This code runs fine and creates a event file in the proper folder, but when I run this comman... | [
"Have you tried adding to the top of your script:\nfrom keras.callbacks import TensorBoard\n\n",
"From the error message, it looks like you are entering the command tensorboard at the Python shell. However, tensorboard is actually the name of a Windows executable program, and not a Python command.\nTherefore, you... | [
6,
5,
0
] | [] | [] | [
"python",
"tensorboard",
"tensorflow"
] | stackoverflow_0042683097_python_tensorboard_tensorflow.txt |
Q:
How to remove datetime which starts before endtime of the previous datetime
I am going to make event time list where duplicate date time and starting time of a next event is starts before ending time of a previous event does not exist in the list.
I converted date time to Julian date. And the list is as below:
Bef... | How to remove datetime which starts before endtime of the previous datetime | I am going to make event time list where duplicate date time and starting time of a next event is starts before ending time of a previous event does not exist in the list.
I converted date time to Julian date. And the list is as below:
Before converting to Julian date:
timename starttime endtime... | [
"For each row, you could subtract the current previous endtime from the current starttime, using Pandas:\ndf['diff'] = df['starttime'] - df['endtime'].shift(1)\n\nHere, .shift moves the rows up by the specified period, in this case, 1.\nDo make sure that your data is sorted accordingly.\nThen, you can filter out th... | [
3,
1
] | [] | [] | [
"python"
] | stackoverflow_0074204406_python.txt |
Q:
Convert image from PIL to openCV format
I'm trying to convert image from PIL to OpenCV format. I'm using OpenCV 2.4.3.
here is what I've attempted till now.
>>> from PIL import Image
>>> import cv2 as cv
>>> pimg = Image.open('D:\\traffic.jpg') #PIL Image
>>> cimg = cv.cv.CreateImageHeade... | Convert image from PIL to openCV format | I'm trying to convert image from PIL to OpenCV format. I'm using OpenCV 2.4.3.
here is what I've attempted till now.
>>> from PIL import Image
>>> import cv2 as cv
>>> pimg = Image.open('D:\\traffic.jpg') #PIL Image
>>> cimg = cv.cv.CreateImageHeader(pimg.size,cv.IPL_DEPTH_8U,3) #CV Image
>... | [
"use this: \npil_image = PIL.Image.open('Image.jpg').convert('RGB') \nopen_cv_image = numpy.array(pil_image) \n# Convert RGB to BGR \nopen_cv_image = open_cv_image[:, :, ::-1].copy() \n\n",
"This is the shortest version I could find,saving/hiding an extra conversion:\npil_image = PIL.Image.open('image.jpg')\nopen... | [
249,
146,
13,
2,
1
] | [] | [] | [
"image_processing",
"opencv",
"python",
"python_imaging_library"
] | stackoverflow_0014134892_image_processing_opencv_python_python_imaging_library.txt |
Q:
jupyter notebook error when fetching olivetti_faces
I wanted to use olivetti_faces dataset at jupyter notebook. When I ran the following code, dataset was not downloaded with the following error:
from sklearn.datasets import fetch_olivetti_faces
faces = fetch_olivetti_faces()
error:
TimeoutError ... | jupyter notebook error when fetching olivetti_faces | I wanted to use olivetti_faces dataset at jupyter notebook. When I ran the following code, dataset was not downloaded with the following error:
from sklearn.datasets import fetch_olivetti_faces
faces = fetch_olivetti_faces()
error:
TimeoutError Traceback (most recent call
last) File C:\Pr... | [
"I think there is an effective soloution in these cases, and it is reinstalling. I had to do this with Anacanda.\n"
] | [
0
] | [] | [] | [
"jupyter_notebook",
"keyerror",
"python"
] | stackoverflow_0074177851_jupyter_notebook_keyerror_python.txt |
Q:
How to total rows in array type column in Spark Dataframe. Possibly through posexplode reversal
I have a spark dataframe of the format below:
df = spark.createDataFrame([(1,1,1, [1,2,3,4,5]),(1,1,2, [1,2,3,4,5]),
(1,1,3, [1,2,3,4,5]),
(1,1,4, [1,2,3,4,5]),
(1,2,5, [1,2,3,4,5]),
(1,2,6, [1,2,3,4,5]),
(1... | How to total rows in array type column in Spark Dataframe. Possibly through posexplode reversal | I have a spark dataframe of the format below:
df = spark.createDataFrame([(1,1,1, [1,2,3,4,5]),(1,1,2, [1,2,3,4,5]),
(1,1,3, [1,2,3,4,5]),
(1,1,4, [1,2,3,4,5]),
(1,2,5, [1,2,3,4,5]),
(1,2,6, [1,2,3,4,5]),
(1,2,7, [1,2,3,4,5]),
(1,3,8, [1,2,3,4,5]),
(1,3,9, [1,2,3,4,5]),
(1,3,10, [1,2,3,4,5])], ["acc", ... | [
"Unfortunately, it is difficult to find examples for complex array transformations in Spark. I've referred example from aggregate official doc.\nTo make it work, I've changed the LongType in the dataframe to IntegerType.\nschema = StructType([StructField('acc', IntegerType(), True), StructField('sub-acc', IntegerTy... | [
0
] | [] | [] | [
"apache_spark",
"python"
] | stackoverflow_0074100289_apache_spark_python.txt |
Q:
vlookup in pandas python
I have two dataframes
I want to check if a column from first dataframe contains values that are in the column of second dataframe, and if it does, create a column and add 1 to the row where it contains a value from first column
first df:
A header
Another header
First
apple
Second
orange... | vlookup in pandas python | I have two dataframes
I want to check if a column from first dataframe contains values that are in the column of second dataframe, and if it does, create a column and add 1 to the row where it contains a value from first column
first df:
A header
Another header
First
apple
Second
orange
third
banana
fourt... | [
"Use Series.isin and convert boolean to 1/0 values by casting:\ndf2['match'] = df2['Another header'].isin(df1['Another header']).astype(int)\n\nOr by numpy.where:\ndf2['match'] = np.where(df2['Another header'].isin(df1['Another header']), 1, 0)\n\n"
] | [
1
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074205472_pandas_python.txt |
Q:
Ansible "ERROR! Attempting to decrypt but no vault secrets found" but I'm not decrypting anything
Odd and Frustrating Error
I'm trying to learn and create a python module for Ansible.
I'm, following this page: Medium.com
This is to a local module so I just want to use ./library/module.py.
The code:
Playbook
---
- ... | Ansible "ERROR! Attempting to decrypt but no vault secrets found" but I'm not decrypting anything | Odd and Frustrating Error
I'm trying to learn and create a python module for Ansible.
I'm, following this page: Medium.com
This is to a local module so I just want to use ./library/module.py.
The code:
Playbook
---
- hosts: localhost # I've used 127.0.0.1 here also
connection: local
vars:
- Test: "This is a... | [
"Ok, the issue is the vaults in my inventory.\nAnsible accesses the vaults even though I did not directly request those vaults.\nSo when I added the --vault-pass \"<key path\" the playbook ran.\nansible-playbook module_test.yml --connection=\"local 127.0.0.1\" --vault-pass \"/home/ansible/.ssh/ansible_vault_key\" -... | [
2,
0,
0,
0
] | [] | [] | [
"ansible",
"python"
] | stackoverflow_0064261899_ansible_python.txt |
Q:
How to execute sql query with python variables null or empty
Hi I'm using python 3 and snowflake.
Example:
MY_SCHEMA = 'TEST'
MY_TABLE = Empty
sql = "SELECT SCHEMA, TABLE FROM TABLE_LOG WHERE SCHEMA = %s AND TABLE = %s"
tuple1 = (MY_SCHEMA, MY_TABLE)
cur.execute(sql,tuples1)
I tried with this:
WHERE SCHEMA = %... | How to execute sql query with python variables null or empty | Hi I'm using python 3 and snowflake.
Example:
MY_SCHEMA = 'TEST'
MY_TABLE = Empty
sql = "SELECT SCHEMA, TABLE FROM TABLE_LOG WHERE SCHEMA = %s AND TABLE = %s"
tuple1 = (MY_SCHEMA, MY_TABLE)
cur.execute(sql,tuples1)
I tried with this:
WHERE SCHEMA = %s OR (SCHEMA IS NULL AND %s IS NULL) also WHERE SCHEMA = IIF(%S IS... | [
"I found a solution this issue:\nMY_SCHEMA = 'TEST'\nMY_TABLE = None\n\ncur.execute(\"SELECT SCHEMA,TABLE FROM TABLE_LOG WHERE SCHEMA = COALESCE(%(schema_variable)s,SCHEMA) AND TABLE = COALESCE(%(table_variable)s,TABLE )\",{\"schema_variable\": MY_SCHEMA, \"table_variable\": MY_TABLE})\n\n\n"
] | [
0
] | [] | [] | [
"python",
"snowflake_cloud_data_platform",
"sql"
] | stackoverflow_0074195749_python_snowflake_cloud_data_platform_sql.txt |
Q:
setting an array element with a sequence requested array has an inhomogeneous shape after 1 dimensions The detected shape was (2,)+inhomogeneous part
import os
import numpy as np
from scipy.signal import *
import csv
import matplotlib.pyplot as plt
from scipy import signal
from brainflow.board_shim import BoardSh... | setting an array element with a sequence requested array has an inhomogeneous shape after 1 dimensions The detected shape was (2,)+inhomogeneous part | import os
import numpy as np
from scipy.signal import *
import csv
import matplotlib.pyplot as plt
from scipy import signal
from brainflow.board_shim import BoardShim, BrainFlowInputParams, LogLevels, BoardIds
from brainflow.data_filter import DataFilter, FilterTypes, AggOperations, WindowFunctions, DetrendOperations
... | [
"Here's a simple case that produces your error message:\nIn [19]: np.asarray([[1,2,3],[4,5]],float)\nTraceback (most recent call last):\n File \"<ipython-input-19-72fd80bc7856>\", line 1, in <module>\n np.asarray([[1,2,3],[4,5]],float)\n File \"/usr/local/lib/python3.8/dist-packages/numpy/core/_asarray.py\", l... | [
2,
0
] | [
"[1, np.array[0,1,2], 3, np.array[8,9,10]] you might have an issue like this.\nsimple thing you can do is: Put the break point where the error is arising -- > run the IDE in debug mode --> print the particular variable or line --> avoid this array within array scenario and it will work ! (It worked for me, hope it ... | [
-1
] | [
"arrays",
"k_means",
"numpy",
"python",
"python_3.x"
] | stackoverflow_0067183501_arrays_k_means_numpy_python_python_3.x.txt |
Q:
Inheriting from multiple classes
class One:
def __init__(self):
self.one = 1
class Two:
def __init__(self):
self.two = 2
class Three(One, Two):
def __init__(self):
self.three = 3
super().__init__()
obj = Three()
print(obj.one)
print(obj.two)
print(obj.three)
i am cu... | Inheriting from multiple classes | class One:
def __init__(self):
self.one = 1
class Two:
def __init__(self):
self.two = 2
class Three(One, Two):
def __init__(self):
self.three = 3
super().__init__()
obj = Three()
print(obj.one)
print(obj.two)
print(obj.three)
i am currently self learning OOP, i am hav... | [
"super().__init__() in Three will only refer to the first class in Method Resolution Order. In order to call all the __init__, you'd need to do super() in all of them:\nclass One:\n def __init__(self):\n self.one = 1\n super().__init__()\n\n\nclass Two:\n def __init__(self):\n self.two = ... | [
0,
0
] | [] | [] | [
"oop",
"python"
] | stackoverflow_0074205390_oop_python.txt |
Q:
Is passing activity_regularizer as argument to Conv2D() the same as passing it seperately right after Conv2D()? (Tensorflow)
I was wondering whether creating the model by passing activity_regularizer='l1_l2' as an argument to Conv2D()
model = keras.Sequential()
model.add(Conv2D(filters=16, kernel_size=(6, 6), stri... | Is passing activity_regularizer as argument to Conv2D() the same as passing it seperately right after Conv2D()? (Tensorflow) | I was wondering whether creating the model by passing activity_regularizer='l1_l2' as an argument to Conv2D()
model = keras.Sequential()
model.add(Conv2D(filters=16, kernel_size=(6, 6), strides=3, padding='valid', activation='relu',
activity_regularizer='l1_l2', input_shape=X_train[0].shape))
model.a... | [
"Technically, if you are not applying any other constraint on the layer output, applying the activity regularizer inside the layer as well as outside the convolution layer is same. However, applying it outside the convolution layer gives the user more flexibility. For instance, the user might want to regularize the... | [
1,
1
] | [] | [] | [
"python",
"regularized",
"tensorflow"
] | stackoverflow_0073976175_python_regularized_tensorflow.txt |
Q:
How to take sample of data from very unbalanced DataFrame so as to not lose too many '1'?
I have a Pandas DataFrame like below with ID and Target variable (for machine learning model).
My DataFrame is really large and unbalanced.
I need to make sampling on my DataFrame because it is really large
Balancing the Dat... | How to take sample of data from very unbalanced DataFrame so as to not lose too many '1'? | I have a Pandas DataFrame like below with ID and Target variable (for machine learning model).
My DataFrame is really large and unbalanced.
I need to make sampling on my DataFrame because it is really large
Balancing the DataFrame looks like this:
99.60% - 0
0.40 % - 1
ID
TARGET
111
1
222
1
333
0
444
1... | [
"Assume you want a sample size = 1000\nTry to use the following line :\ndf.sample(frac=1000/len(df), replace=True, random_state=1)\n\n",
"Perhaps this is what you need. stratify param makes sure you sample your data in a stratified fashion as you need\nfrom sklearn.model_selection import train_test_split\nimport ... | [
1,
0,
0
] | [] | [] | [
"dataframe",
"pandas",
"python",
"sampling"
] | stackoverflow_0074204820_dataframe_pandas_python_sampling.txt |
Q:
Issues fitting gaussian to scatter plot
I'm having a lot of trouble fitting this data, particularly getting the fit parameters to match the expected parameters.
from scipy.optimize import curve_fit
import numpy as np
def gaussian_model(x, a, b, c, d): # add constant d
return a*np.exp(-(x-b)**2/(2*c**2))+d
x... | Issues fitting gaussian to scatter plot | I'm having a lot of trouble fitting this data, particularly getting the fit parameters to match the expected parameters.
from scipy.optimize import curve_fit
import numpy as np
def gaussian_model(x, a, b, c, d): # add constant d
return a*np.exp(-(x-b)**2/(2*c**2))+d
x = np.linspace(0, 20, 100)
mu, cov = curve_f... | [
"This is not an answer as expected.\nThis is an alternative method of fitting gaussian.\nThe process is not iteratif and doesn't requier initial \"guessed\" values of the parameters to start as in the usual methods.\nThe result is :\n\nThe method of calculus is shown below :\n\nThe general principle is explained wi... | [
0
] | [] | [] | [
"curve_fitting",
"gaussian",
"python"
] | stackoverflow_0073847242_curve_fitting_gaussian_python.txt |
Q:
Can't Install Taurus on Windows 10 with Python 3.10.0
Can't Install Taurus on Windows 10 with Python 3.10.0.
Following Prerequisites are installed
Get Python 3.7+ from http://www.python.org/downloads and install it, don't forget to enable "Add python.exe to Path" checkbox.
Get the latest Java from https://www.jav... | Can't Install Taurus on Windows 10 with Python 3.10.0 | Can't Install Taurus on Windows 10 with Python 3.10.0.
Following Prerequisites are installed
Get Python 3.7+ from http://www.python.org/downloads and install it, don't forget to enable "Add python.exe to Path" checkbox.
Get the latest Java from https://www.java.com/download/ and install it.
Get the latest Microsoft Vi... | [
"Got it working by c:\\temp>pip install lxml-4.6.3-cp310-cp310-win_amd64.whl\nImportantly we need to choose the right version based on your python version.\nIn my case I have installed 64-bit python 3.10.0\nFrom here, download the lxml-4.6.3-cp310-cp310-win_amd64.whl http://www.lfd.uci.edu/~gohlke/pythonlibs/#lxml ... | [
1,
0
] | [] | [] | [
"lxml",
"pip",
"python",
"taurus",
"windows"
] | stackoverflow_0069774046_lxml_pip_python_taurus_windows.txt |
Q:
Short Python alphanumeric hash with minimal collisions
I'd like to set non-integer primary keys for a table using some kind of hash function. md5() seems to be kind of long (32-characters).
What are some alternative hash functions that perhaps use every letter in the alphabet as well as integers that are perhap... | Short Python alphanumeric hash with minimal collisions | I'd like to set non-integer primary keys for a table using some kind of hash function. md5() seems to be kind of long (32-characters).
What are some alternative hash functions that perhaps use every letter in the alphabet as well as integers that are perhaps shorter in string length and have low collision rates?
Tha... | [
"Why don't you just truncate SHA1 or MD5? You'll have more collisions then if you didn't truncate, but it's still better than designing your own. Note that you can base64-encode the truncated hash, rather than using hexadecimal. E.g.\nimport base64\nimport hashlib\nhasher = hashlib.sha1(\"The quick brown fox\")\... | [
40,
37,
3,
0,
0
] | [] | [] | [
"hash",
"python"
] | stackoverflow_0002510716_hash_python.txt |
Q:
Unable to scrape jpg images link from json
I'm trying to scrape jpg images from each products, every product url saved in csv. Image links are available in json data so try to access json key value. When I try to run code it's only getting back with all key value in spite of image url link, and second my code only... | Unable to scrape jpg images link from json | I'm trying to scrape jpg images from each products, every product url saved in csv. Image links are available in json data so try to access json key value. When I try to run code it's only getting back with all key value in spite of image url link, and second my code only able to scrape last product url in spite of all... | [
"Few things:\n\ndf = pd.DataFrame(detail) should be df = pd.DataFrame(newlist)\nYou're loop indentation is off. In fact, why are you looping the urls twice? You get the url from the test.csv (you should just use pandas for that anyway), puting the url into contents list, then loop through that list.\n\nTry this:\ni... | [
0
] | [] | [] | [
"csv",
"json",
"python",
"web_scraping"
] | stackoverflow_0074205402_csv_json_python_web_scraping.txt |
Q:
how to identify and get buy/sale/net transaction monthly
i have a table named 'balance' like this
user_id date transaction_amount
123 2021-08-30 1000
123 2021-08-31 500
456 2021-09-30 -750
789 2021-09-30 50
i need to know total buy/sell/net transaction on monthly ... | how to identify and get buy/sale/net transaction monthly | i have a table named 'balance' like this
user_id date transaction_amount
123 2021-08-30 1000
123 2021-08-31 500
456 2021-09-30 -750
789 2021-09-30 50
i need to know total buy/sell/net transaction on monthly level (end-of-period/eop)
which :
buy = transaction > 0
sell =... | [
"Use numpy.where for distinguish buy/sell, aggregate sum and reshape by Series.unstack, last if necessary sum both columns use DataFrame.assign:\neop_trans = (df_balance.groupby([df_balance['user_id'], \n df_balance['date'].dt.to_period('M'),\n np.where(df_balance['transaction_... | [
0,
0
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074205722_pandas_python.txt |
Q:
can anyone help me with this? i am getting an error that says cannot covert string to float in my training data
i'm getting the following error. i don't know why
ValueError Traceback (most recent call last)
<ipython-input-70-47db790ecefc> in <module>
2 #Y = train_label.to_numpy... | can anyone help me with this? i am getting an error that says cannot covert string to float in my training data | i'm getting the following error. i don't know why
ValueError Traceback (most recent call last)
<ipython-input-70-47db790ecefc> in <module>
2 #Y = train_label.to_numpy()
3
----> 4 logreg = LogisticRegression().fit(train_X, train_Y)
4 frames
/usr/local/lib/python3.7/dist-packa... | [
"you have additional quotation marks in the string that you are trying to convert to float.\n",
"The string you are trying to convert is this\n\n\"840343879668908032\"\n\nbut it should be this\n\n840343879668908032\n\nPython is taking double quotes as a part of the string, This may be because you would have used ... | [
0,
0
] | [] | [] | [
"logistic_regression",
"python",
"python_3.x"
] | stackoverflow_0074204502_logistic_regression_python_python_3.x.txt |
Q:
The if condition in my Python code is always false
I'm trying the code below:
Erick = input ("Kobia, what's ur favourite team ?")
print (" ")
if Erick.upper() == "manchester city":
print ('All hail Pep.')
print ('Heri nyinyi kuliko Man united,')
print ('Liverpool have been awful this season.')
else... | The if condition in my Python code is always false | I'm trying the code below:
Erick = input ("Kobia, what's ur favourite team ?")
print (" ")
if Erick.upper() == "manchester city":
print ('All hail Pep.')
print ('Heri nyinyi kuliko Man united,')
print ('Liverpool have been awful this season.')
else:
print ('Arsenal gladly sit on top of the table.')... | [
"Try this code where I have only add .upper() to the string 'manchester city':\nErick = input(\"Kobia, what's ur favourite team ?\")\nprint(\" \")\n\nif Erick.upper() == \"manchester city\".upper():\n\n print('All hail Pep.')\n print('Heri nyinyi kuliko Man united,')\n print('Liverpool have been awful this... | [
0,
0
] | [] | [] | [
"python"
] | stackoverflow_0074205680_python.txt |
Q:
how can i get repository headers with selenium
I tried with find_elements_by_xpath and find_elements_by_css_selector but it returns either an empty list or a selenium type object
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
... | how can i get repository headers with selenium |
I tried with find_elements_by_xpath and find_elements_by_css_selector but it returns either an empty list or a selenium type object
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
driver = webdriver.Chrome(executable_path='path/ch... | [
"You can access those items using CSS selectors\nresult = driver.find_elements_by_css_selector(\".repo-list-item a.v-align-middle\")\n\n"
] | [
0
] | [] | [] | [
"python",
"selenium"
] | stackoverflow_0074204390_python_selenium.txt |
Q:
I am getting a IndexError: list index out of range in pygame/python
So I am making a game in pygame and for the graphics I watched a
Clear Code tutorial
for style,layout in layout.items():
for row_index,row in enumerate(layout):
for col_index, col in enumerate(row):
if col != '-1':
... | I am getting a IndexError: list index out of range in pygame/python | So I am making a game in pygame and for the graphics I watched a
Clear Code tutorial
for style,layout in layout.items():
for row_index,row in enumerate(layout):
for col_index, col in enumerate(row):
if col != '-1':
x = col_index * TILE_SIZE
y = row_index * TILE_S... | [] | [] | [
"it's happen because you access a list by index where the index is out of range of the len(your_list) - 1.\nexample :\nyour_list = ['a', 'b']\nlen(your_list) is 2. so max index that you can access to list is 2 - 1, which is 1.\nthey are : your_list[0] or your_list[1].\nif you try your_list[2], it will raise an erro... | [
-2
] | [
"python"
] | stackoverflow_0074205734_python.txt |
Q:
how do I get maximize attribute from tkinter window?
I want to see if the user has maximized a tkinter window by checking for a boolean true or false.
check = Window.cget('fullscreen') doesn't work.
Is there a way?
A:
There are two options:
root = Tk()
root.attributes('-zoomed', True)
Or:
root.state('zoomed')... | how do I get maximize attribute from tkinter window? | I want to see if the user has maximized a tkinter window by checking for a boolean true or false.
check = Window.cget('fullscreen') doesn't work.
Is there a way?
| [
"There are two options:\nroot = Tk()\nroot.attributes('-zoomed', True)\n\nOr:\nroot.state('zoomed')\n\nThe second option will not show a title bar\n"
] | [
0
] | [] | [] | [
"python"
] | stackoverflow_0020647356_python.txt |
Q:
Python Strings and Loops to create a keyboard character pattern
I am a very new learner to Python !
Strings and Loops and Loop within a loop.
I am trying to create some code that creates a very specific pattern that can be run x amount of times.
I am not sure if I should use 2 separate characters to create the pat... | Python Strings and Loops to create a keyboard character pattern | I am a very new learner to Python !
Strings and Loops and Loop within a loop.
I am trying to create some code that creates a very specific pattern that can be run x amount of times.
I am not sure if I should use 2 separate characters to create the pattern or if I should use a rotate/ position and print copy/commands an... | [
"Does this helps you ?\nsquare_side = int(input(\"Please enter the square Step dimension : \"))\n\nsquare_base = int(input(\"Please enter the square base dimension : \"))\n\nprint(\"Square AlphaBet Step Pattern\") \nmax_side = square_side*2\n\nfor i in range(max_side):\n if i % 2 == 0:\n letter = \" A\"... | [
0
] | [] | [] | [
"loops",
"python",
"repeat",
"rotation",
"string"
] | stackoverflow_0074205327_loops_python_repeat_rotation_string.txt |
Q:
KEGG Drug database Python script
I have a drug database saved in a SINGLE column in CSV file that I can read with Pandas. The file containts 750000 rows and its elements are devided by "///". The column also ends with "///". Seems every row is ended with ";".
I would like to split it to multiple columns in order t... | KEGG Drug database Python script | I have a drug database saved in a SINGLE column in CSV file that I can read with Pandas. The file containts 750000 rows and its elements are devided by "///". The column also ends with "///". Seems every row is ended with ";".
I would like to split it to multiple columns in order to create structured database. Capitali... | [
"Whatever he could, he helped:\nimport pandas as pd\n\ncols = ['ENTRY', 'NAME', 'FORMULA', 'COMPONENT']\n# We create an additional dataframe.\ndfi = pd.DataFrame()\n# We read the file, get two columns and leave only the necessary lines.\ndf = pd.read_fwf(r'drug', header=None, names=['Key', 'Value'])\ndf = df[df['Ke... | [
1
] | [] | [] | [
"pandas",
"python"
] | stackoverflow_0074189879_pandas_python.txt |
Q:
write a program to create a new list such that the new list should contain odd numbers from the first list and even numbers from the second list
list1 = [10, 20, 25, 30, 35]
list2 = [40, 45, 60, 75, 90]
def is_odd(num,list1):
for num in list1:
if num % 2 != 0:
print(num, end=" ")
def is_even(num,li... | write a program to create a new list such that the new list should contain odd numbers from the first list and even numbers from the second list | list1 = [10, 20, 25, 30, 35]
list2 = [40, 45, 60, 75, 90]
def is_odd(num,list1):
for num in list1:
if num % 2 != 0:
print(num, end=" ")
def is_even(num,list2):
for num in list2:
if num % 2 == 0:
print(num, end=" ")
list3=[is_odd(num,list1) or is_even(num,list2)]
print(list3... | [
"You are getting [None] because the print function returns None. Instead of printing, in the is_odd or is_even function, you should return the numbers and append it into list3.\ndef is_odd(list1):\n temp = []\n for num in list1:\n if num % 2 != 0:\n temp.append(num)\n return temp\n\ndef is_even(list2... | [
0
] | [] | [] | [
"python"
] | stackoverflow_0074205938_python.txt |
Q:
2 minimum in Python
I have a program that asks me for 5 numbers and then prints the minimum. But now, I need a program that writes the minimum and the second minimum.
train=[]
min=100
for i in range(5):
train.append(int(input("Enter a number")))
for carriage in train:
if min>carriage:
min=carriage
... | 2 minimum in Python | I have a program that asks me for 5 numbers and then prints the minimum. But now, I need a program that writes the minimum and the second minimum.
train=[]
min=100
for i in range(5):
train.append(int(input("Enter a number")))
for carriage in train:
if min>carriage:
min=carriage
print("Minimum is ",min)
... | [
"train=[]\nmin1 = 100 #only 100, u sure?\nmin2 = 100\nfor i in range(5):\n train.append(int(input(\"Enter a number\")))\nfor carriage in train:\n if min2 > carriage:\n min2 = carriage\n if min2 < min1: \n min1, min2 = min2, min1\nprint(\"Minimum is \", min1, min2)\n\n",
"The minimum... | [
1,
0
] | [] | [] | [
"list",
"numbers",
"python"
] | stackoverflow_0074205545_list_numbers_python.txt |
Q:
Runge-Kutta 4th order method to solve second-order ODES of the coupled RLC circuit
I am trying to solve the system of the second-order differential equations of the coupled oscillatory circuit using Runge-Kutta 4th order method in python.
The system
And the initial conditions are:
Condition
Value
L_1 =L_2
2,5E-0... | Runge-Kutta 4th order method to solve second-order ODES of the coupled RLC circuit | I am trying to solve the system of the second-order differential equations of the coupled oscillatory circuit using Runge-Kutta 4th order method in python.
The system
And the initial conditions are:
Condition
Value
L_1 =L_2
2,5E-04 H
C_1
2,5Е-11 F
C_2
5,0Е-11 F
C_св
1,0Е-09 F
I_10
0 A
I_20
0 A
q_10
... | [
"With the given constants the Lipschitz constant of the system is in the region of Lip=1e+14. With an adapted norm that gives the i components a weight of 1e+7, this can be reduced to about Lip=1e+7.\nFor the step size in Runge-Kutta 4 you want Lip*h=0.5 or smaller, so h=5e-8 or smaller.\nsqrt(L*C_k) is also about ... | [
1
] | [] | [] | [
"ode",
"physics",
"python",
"runge_kutta"
] | stackoverflow_0074178646_ode_physics_python_runge_kutta.txt |
Q:
Python read JSON file and modify
Hi I am trying to take the data from a json file and insert and id then perform POST REST.
my file data.json has:
{
'name':'myname'
}
and I would like to add an id so that the json data looks like:
{
'id': 134,
'name': 'myname'
}
So I tried:
import json
f = open("... | Python read JSON file and modify | Hi I am trying to take the data from a json file and insert and id then perform POST REST.
my file data.json has:
{
'name':'myname'
}
and I would like to add an id so that the json data looks like:
{
'id': 134,
'name': 'myname'
}
So I tried:
import json
f = open("data.json","r")
data = f.read()
jsonOb... | [
"Set item using data['id'] = ....\nimport json\n\nwith open('data.json', 'r+') as f:\n data = json.load(f)\n data['id'] = 134 # <--- add `id` value.\n f.seek(0) # <--- should reset file position to the beginning.\n json.dump(data, f, indent=4)\n f.truncate() # remove remaining part\n\n",
... | [
113,
49,
11,
3,
2,
2,
0
] | [] | [] | [
"file_io",
"json",
"python"
] | stackoverflow_0021035762_file_io_json_python.txt |
Q:
Data cardinality is ambiguous(Make sure all arrays contain the same number of samples)
I got my dataset from mnist dataset,
train_images = train_images.astype("float32")/255.0
test_images = test_images.astype("float32")/255.0
network.fit(train_images, train_labels, batch_size = 64, epochs = 10, verbose =2)
networ... | Data cardinality is ambiguous(Make sure all arrays contain the same number of samples) | I got my dataset from mnist dataset,
train_images = train_images.astype("float32")/255.0
test_images = test_images.astype("float32")/255.0
network.fit(train_images, train_labels, batch_size = 64, epochs = 10, verbose =2)
network.evaluate(test_images,test_labels, batch_size = 64, verbose=2)
I got this error during tra... | [
"The reason behind this error is,\n\"The number of rows in the input dataset(x) are not matching with the corresponding rows in the labeled output dataset(y)\".\nOr probably, there is an issue while splitting the mnist dataset into a training and testing dataset.\nThe right way of fetching input and labeled dataset... | [
0
] | [] | [] | [
"keras",
"python",
"tensorflow"
] | stackoverflow_0071448700_keras_python_tensorflow.txt |
Q:
python sequence to generate combination of 4 numbers from 3 digits
Could any share the python script to generate combination of 4 numbers from 3 digits for e.g 1, 5, and 8 . 1 digit can be repeated but it should have all 3 digits it should be displayed in the following format for example
1 1 5 8
1 5 5 8
1 5 8 8
... | python sequence to generate combination of 4 numbers from 3 digits | Could any share the python script to generate combination of 4 numbers from 3 digits for e.g 1, 5, and 8 . 1 digit can be repeated but it should have all 3 digits it should be displayed in the following format for example
1 1 5 8
1 5 5 8
1 5 8 8
....
def GetCombFrom(arr):
for i in range(4):
for j in range(4):
... | [
"There is exactly 1 digit repeated. Iterate over the digit to chose that one. Place that digit into one of the 6 = 4 choose 2 pairs of places for that digit. There are 2 positions remaining to be filled by the other 2 digits. This can be done in 2 ways. Using itertools to select the 2 places for the repeated digits... | [
0
] | [] | [] | [
"python",
"python_3.x"
] | stackoverflow_0074197230_python_python_3.x.txt |
Q:
No module named 'object_detection' import error
I know most of you who have worked with tensorflow object detection have come across this problem. I have my tensorflow project running in a different folder but now I did like to use object detection functions stored in models folder.
I have changed my working dire... | No module named 'object_detection' import error | I know most of you who have worked with tensorflow object detection have come across this problem. I have my tensorflow project running in a different folder but now I did like to use object detection functions stored in models folder.
I have changed my working directory in my python scripts to models / object detecti... | [
"try this\npip install tensorflow-object-detection-api\n\n"
] | [
2
] | [] | [] | [
"object",
"object_detection",
"python",
"tensorflow"
] | stackoverflow_0074206011_object_object_detection_python_tensorflow.txt |
Q:
QA model return the best answers to the same question from multiple contexts
I am trying to build a QA system using a pre-trained QA model.
I have a list of texts and I basically want to extract the 'best x' answers to the same question using each text:
example:
contexts = ['the car is red', 'the car is yellow' , ... | QA model return the best answers to the same question from multiple contexts | I am trying to build a QA system using a pre-trained QA model.
I have a list of texts and I basically want to extract the 'best x' answers to the same question using each text:
example:
contexts = ['the car is red', 'the car is yellow' , 'I love cats' , 'my car is green', 'the airplane is white' ....]
question = 'what... | [
"You could try to join context to one string, and treat each of them as separate sentence.\nThen get N best results from QA model, see the scores and check in which contexts given answer appeared:\nfrom transformers import AutoTokenizer, AutoModelForQuestionAnswering\nimport torch\nimport numpy as np\n\ncontexts = ... | [
0
] | [] | [] | [
"nlp_question_answering",
"python"
] | stackoverflow_0072213975_nlp_question_answering_python.txt |
Q:
toomanyrequests: You have reached your pull rate limit. You may increase the limit by authenticating and upgrading
Why does this happen, when I want to build an image from a Dockerfile in CodeCommit with CodeBuild?
I get this Error:
toomanyrequests: You have reached your pull rate limit. You may increase the limi... | toomanyrequests: You have reached your pull rate limit. You may increase the limit by authenticating and upgrading | Why does this happen, when I want to build an image from a Dockerfile in CodeCommit with CodeBuild?
I get this Error:
toomanyrequests: You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limit
| [
"One solution is that you should login docker hub by below command:\n$ sudo docker login --username=yourUsername\nPassword:\nWARNING: login credentials saved in C:\\Users\\sven\\.docker\\config.json\nLogin Succeeded\n\nMore Help About Login Docker\n",
"Try not to pull the images from the docker hub because docker... | [
49,
39,
14,
4,
1,
1,
0,
0
] | [
"If you're pulling a public image from docker then you can push it to your own public ECR repository too.\n\nCreate a new public ECR repository.\nLogin to ECR\n\naws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws\n\n\nPull docker image e.g., amazoncorr... | [
-1
] | [
"amazon_web_services",
"aws_codebuild",
"docker",
"dockerfile",
"python"
] | stackoverflow_0065806330_amazon_web_services_aws_codebuild_docker_dockerfile_python.txt |
Q:
how do i perform a list operation for bellow lists
lst = ['mango','banana','Watermelon','Papaya']
lst2 = [200,100,500]
my lists look like this. I need to access these parameters like first element 1 lst 1 element 2nd list.
I want output like in dictionary.
my code like this I access all elements in that:
dict = {... | how do i perform a list operation for bellow lists | lst = ['mango','banana','Watermelon','Papaya']
lst2 = [200,100,500]
my lists look like this. I need to access these parameters like first element 1 lst 1 element 2nd list.
I want output like in dictionary.
my code like this I access all elements in that:
dict = { "fruit": lst[1], "price": lst2[1] }
I need a output li... | [
"If I understand your question correctly, here a one-liner:\noutput = [{\"fruit\": f, \"price\": p} for f, p in zip(lst, lst2)]\n\n"
] | [
3
] | [] | [] | [
"list",
"python"
] | stackoverflow_0074206001_list_python.txt |
Q:
Python: Pre-loading memory
I have a python program where I need to load and de-serialize a 1GB pickle file. It takes a good 20 seconds and I would like to have a mechanism whereby the content of the pickle is readily available for use. I've looked at shared_memory but all the examples of its use seem to involve nu... | Python: Pre-loading memory | I have a python program where I need to load and de-serialize a 1GB pickle file. It takes a good 20 seconds and I would like to have a mechanism whereby the content of the pickle is readily available for use. I've looked at shared_memory but all the examples of its use seem to involve numpy and my project doesn't use n... | [
"This could be an XY problem, the source of which being the assumption that you must use pickles at all; they're just awful to deal with due to how they manage dependencies and are fundamentally a poor choice for any long-term data storage because of it\nThe source financial data is almost-certainly in some tabular... | [
7,
6,
3,
3,
2,
2,
2,
0,
0
] | [] | [] | [
"python",
"shared_memory"
] | stackoverflow_0067888952_python_shared_memory.txt |
Q:
How to not add a couple of key, value in dict
I want a list of dict and I want to check if this pair is not in my list. But it doesn't work.
wizards = [Wiz_1, Wiz_2, Wiz_3, Wiz_1]
my_list = []
for wiz in wizards:
if wiz.first_name not in my_list and wiz.last_name not in my_list:
my_list.append({"first_... | How to not add a couple of key, value in dict | I want a list of dict and I want to check if this pair is not in my list. But it doesn't work.
wizards = [Wiz_1, Wiz_2, Wiz_3, Wiz_1]
my_list = []
for wiz in wizards:
if wiz.first_name not in my_list and wiz.last_name not in my_list:
my_list.append({"first_name": "Harry", "last_name": "Potter"})
| [
"the easiest way to do this is to unpack your list into tuples.\nwizards = [Wiz_1, Wiz_2, Wiz_3, Wiz_1]\nmy_list = []\nfor wiz in wizards:\n if (wiz.first_name, wiz.last_name) not in \\\n ((elment[\"first_name\"],elment[\"last_name\"]) for elment in my_list):\n my_list.append({\"first_name\": w... | [
0
] | [] | [] | [
"python",
"python_3.x"
] | stackoverflow_0074205588_python_python_3.x.txt |
Q:
python pivot table that group by a column (month) and sum all the value from other column grouped by the months
Im stuck tryin to index after a grouby and sum here is the code and the result
Count.groupby(Count.MesEntrada % 100)['Hipoges Value Total'].sum()
MesEntrada
1 1.012410e+07
2 2.585200e+07
3 8... | python pivot table that group by a column (month) and sum all the value from other column grouped by the months | Im stuck tryin to index after a grouby and sum here is the code and the result
Count.groupby(Count.MesEntrada % 100)['Hipoges Value Total'].sum()
MesEntrada
1 1.012410e+07
2 2.585200e+07
3 8.185106e+07
4 9.896478e+06
5 3.551263e+07
6 3.187036e+07
7 1.233078e+07
8 1.115747e+07
9 7.35... | [
"This would be the correct way to do what i need it.\nCount1 = Count.groupby(['MesEntrada'],as_index=False)['Hipoges Value Total'].sum()\nCount1\n\nMesEntrada Hipoges Value Total\n 0 1 1.012410e+07\n 1 2 2.585200e+07\n 2 3 8.185106e+07\n 3 4 9.896478e+06\n 4 5 3.551263e+07\n 5 6 3.187036e+07\n 6 ... | [
2
] | [] | [] | [
"python"
] | stackoverflow_0074205106_python.txt |
Q:
How to retain unused namespaces while parsing an xml in python
The following is the root tag of the XML. When I parse this XML file using xml.etree.ElementTree, I'm unable to retain the attributes with xmlns prefix.
<ecore:EPackage xmi:version="2.0"
xmlns:xmi="http://www.omg.org/XMI"
... | How to retain unused namespaces while parsing an xml in python | The following is the root tag of the XML. When I parse this XML file using xml.etree.ElementTree, I'm unable to retain the attributes with xmlns prefix.
<ecore:EPackage xmi:version="2.0"
xmlns:xmi="http://www.omg.org/XMI"
xmlns:ComIbmCompute.msgnode="ComIbmCompute.msgnode"
... | [
"By using lxml, I was able to achieve this task\n\n from lxml import etree\n \n tree = etree.parse('sample.xml')\n #Making some modifications\n tree.write('newMessage.xml')\n\n\n"
] | [
0
] | [] | [] | [
"elementtree",
"python",
"xml",
"xml_namespaces"
] | stackoverflow_0074190204_elementtree_python_xml_xml_namespaces.txt |
Q:
How to add a value to a dictionary that has a duplicate key
I have this problem where I would like to add a value to a dictionary but the key is duplicate.
I would like the key to to hold a list with multiple values
this is what I have tried
def storingPassword():
username=("bob")#key,
password=("PASSWROD1... | How to add a value to a dictionary that has a duplicate key | I have this problem where I would like to add a value to a dictionary but the key is duplicate.
I would like the key to to hold a list with multiple values
this is what I have tried
def storingPassword():
username=("bob")#key,
password=("PASSWROD1")#value
allpasswords={
"jeff":"jeff 123 ",
... | [
"That's because the value in your allpasswords dict is a string and you are trying to treat it like a list. Why are you trying to make your data structure complex with few values as list and few as string? I recommend to convert everything to list for a simpler logic.\nHence your code should be like this:\nallpass... | [
2,
1
] | [] | [] | [
"python",
"python_3.x"
] | stackoverflow_0074206082_python_python_3.x.txt |
Q:
Guess game - Function - Improvement
I am trying to improve my python skills and tried to reproduce a guess game where the machine tries to guess one number. You can find below the function. After the first input, the machine does not continue and have the following output:
We will play a guess game.
Is this 50 you... | Guess game - Function - Improvement | I am trying to improve my python skills and tried to reproduce a guess game where the machine tries to guess one number. You can find below the function. After the first input, the machine does not continue and have the following output:
We will play a guess game.
Is this 50 your number?
0 means too low, 1 this is the ... | [
"try it now like this:\ndef guess_game():\nm = 50\ncount = 0\nprint('We will play a guess game.')\nprint('Is this ' + str(m) + ' your number?')\nmyinput = input('0 means too low, 1 this is the number and 2 means too high #1')\nwhile myinput != 1:\n count += 1\n if myinput == '0':\n print('Not the right... | [
0,
0
] | [] | [] | [
"function",
"input",
"python"
] | stackoverflow_0074206060_function_input_python.txt |
Q:
Solr responded with an error (HTTP 404): [Reason: HTTP Status 404 - /solr/select/] on CKAN
Lately my CKAN instance gives error 500. The CKAN error log showed below.
Solr is running but it times out when I try to access http://localhost:8983/solr
Can anyone help out.
Thanks in advance.
[Wed Oct 05 08:14:56.690889 2... | Solr responded with an error (HTTP 404): [Reason: HTTP Status 404 - /solr/select/] on CKAN | Lately my CKAN instance gives error 500. The CKAN error log showed below.
Solr is running but it times out when I try to access http://localhost:8983/solr
Can anyone help out.
Thanks in advance.
[Wed Oct 05 08:14:56.690889 2022] [wsgi:error] [pid 32062] 2022-10-05 08:14:56,690 ERROR [pysolr] Solr responded with an erro... | [
"The CKAN core dev team is residing in this Gitter chat: https://gitter.im/ckan/chat. If you ask this or other tech questions there you should get help.\n"
] | [
0
] | [] | [] | [
"ckan",
"linux",
"python",
"solr"
] | stackoverflow_0073957406_ckan_linux_python_solr.txt |
Q:
argparse: Required add_mutually_exclusive_group parameters list as optional?
I know that argparse describes in its documentation that parameters starting with - or -- are considered optional:
In general, the argparse module assumes that flags like -f and --bar indicate optional arguments, which can always be omit... | argparse: Required add_mutually_exclusive_group parameters list as optional? | I know that argparse describes in its documentation that parameters starting with - or -- are considered optional:
In general, the argparse module assumes that flags like -f and --bar indicate optional arguments, which can always be omitted at the command line.
No matter if you define parameters as required or not, t... | [
"Heed the note on the required parameter:\n\nNote: Required options are generally considered bad form because users expect options to be optional, and thus they should be avoided when possible. \n\nSo don't use required options; instead use positional arguments with choices or a sub-parser. Here's an example with p... | [
1,
0
] | [] | [] | [
"argparse",
"mutual_exclusion",
"python"
] | stackoverflow_0059773946_argparse_mutual_exclusion_python.txt |
Q:
Solve google foobar staircase problem with python
Given an n number of bricks i find out how many possible different staircases can be built: each staircase must have at least 2 steps. No two steps are allowed to be at the same height - each step must be lower than the previous one. All steps must contain at least... | Solve google foobar staircase problem with python | Given an n number of bricks i find out how many possible different staircases can be built: each staircase must have at least 2 steps. No two steps are allowed to be at the same height - each step must be lower than the previous one. All steps must contain at least one brick. A step's height is classified as the total ... | [
"it took an hour to calculate n = 100 because your solution is exponential time and for a standard machine this is expected. \neach staircase must have at least 2 steps. No two steps are allowed to be at \nthe same height - each step must be lower than the previous one. All steps must \ncontain at least one brick \... | [
2,
0
] | [] | [] | [
"algorithm",
"python",
"python_3.x"
] | stackoverflow_0066779188_algorithm_python_python_3.x.txt |
Q:
How do I replace the values in a column given that I dont want to change some values in the column?
Column A
Column B
Column C
Ball
1
Yes
Paper
2
No
Shoes
10
No
Pen
4
Yes
Glue
1
No
Given that I have column A and column B in a dataframe. Column C is the output I'm looking for.
Note that I have thousands of ro... | How do I replace the values in a column given that I dont want to change some values in the column? |
Column A
Column B
Column C
Ball
1
Yes
Paper
2
No
Shoes
10
No
Pen
4
Yes
Glue
1
No
Given that I have column A and column B in a dataframe. Column C is the output I'm looking for.
Note that I have thousands of rows in the dataframe.
conditions = [(df['Column A'] == 'Ball'),
(df['Column A... | [] | [] | [
"conditions = [(df['Column A'] == 'Ball'), \n (df['Column A'] == 'Paper') | (df['Data Field'] == 'Shoes'),\n (df['Column B'] == 1),\n (df['Column B'] >= 1)\n ]\n\noutcomes = ['Yes', 'No', 'No', \"Yes\"]\n\ndf['Column C'] = np.select(conditions, outcomes, default=0)... | [
-1
] | [
"dataframe",
"numpy",
"python"
] | stackoverflow_0074205561_dataframe_numpy_python.txt |
Q:
ValueError: Exception encountered when calling layer 'sequential' (type Sequential)
I am writing an AI that will predict its own one by one - for example, an array [22,1,456,2] is given, and it will predict [33,1,455,3].
But when I run this code:
from music21 import converter, instrument, note, chord
import tensor... | ValueError: Exception encountered when calling layer 'sequential' (type Sequential) | I am writing an AI that will predict its own one by one - for example, an array [22,1,456,2] is given, and it will predict [33,1,455,3].
But when I run this code:
from music21 import converter, instrument, note, chord
import tensorflow as tf
from scipy.interpolate import UnivariateSpline
from tensorflow import keras
im... | [
"reshape your data by using\n.resape(-1,1)\n\n"
] | [
1
] | [] | [] | [
"python",
"tensorflow"
] | stackoverflow_0074206253_python_tensorflow.txt |
Q:
Error when importing locale lib in python
I want to import T_FMT_AMPM from locale lib. But I got error, and that is:
from locale import T_FMT
ImportError: cannot import name 'T_FMT' from 'locale'
So what can I do now? Can u help me ?
A:
Sounds like you have circular import references - The thread below explains... | Error when importing locale lib in python | I want to import T_FMT_AMPM from locale lib. But I got error, and that is:
from locale import T_FMT
ImportError: cannot import name 'T_FMT' from 'locale'
So what can I do now? Can u help me ?
| [
"Sounds like you have circular import references - The thread below explains a bit more\nWhat can I do about \"ImportError: Cannot import name X\" or \"AttributeError: ... (most likely due to a circular import)\"?\nYou could try refactoring, or one of the other methods mentioned in the thread above\n"
] | [
0
] | [] | [] | [
"locale",
"python",
"python_3.x"
] | stackoverflow_0074205097_locale_python_python_3.x.txt |
Q:
Google translate API for python : Attribute error
I want to transalte a column of my dataframe from Japanese to English. After searching I found Google translate API. I tried various codes as below
Sample Code
from googletrans import Translator
translator = Translator()
sp["Spl"] = sp["件名"].map(lambda x: translato... | Google translate API for python : Attribute error | I want to transalte a column of my dataframe from Japanese to English. After searching I found Google translate API. I tried various codes as below
Sample Code
from googletrans import Translator
translator = Translator()
sp["Spl"] = sp["件名"].map(lambda x: translator.translate(x, src="ja", dest="en").text)
but everytim... | [
"It looks like this is an issue with the googletrans library being unable to get past Google's \"Before you continue to Google\" cookie acceptance page, for which there is currently no easy solution.\nAs this library is not officially supported by Google you're probably breaking their terms of service by using it. ... | [
0
] | [] | [] | [
"google_translate",
"pandas",
"python"
] | stackoverflow_0074206260_google_translate_pandas_python.txt |
Q:
CherryPy redirect to root on missing parameters error
I have a web server using CherryPy. I would like for users to be redirected to the root page if they try and access a page which requires parameters to be entered. If a user were to try and directly access:
localhost:8080/page
they will get an error message wh... | CherryPy redirect to root on missing parameters error | I have a web server using CherryPy. I would like for users to be redirected to the root page if they try and access a page which requires parameters to be entered. If a user were to try and directly access:
localhost:8080/page
they will get an error message which looks something like:
404 Not Found
Missing parameters... | [
"I've managed to make a workaround by returning HTML code that redirects to the root:\ndef error_page_404(status, message, traceback, version):\n if message.startswith('Missing parameters'):\n return \"\"\"<meta http-equiv=\"Refresh\" content=\"0; url='/'\" />\"\"\"\n else:\n return f'<h2>404 No... | [
0
] | [] | [] | [
"cherrypy",
"error_handling",
"python",
"redirect"
] | stackoverflow_0074205479_cherrypy_error_handling_python_redirect.txt |
Q:
How do I parse a string without running into infinite loops?
Hello everyone I have a question regarding a parsing of string and this is the code I have so far:
sentence =' '
while sentence != 'q':
sentence = input('Please enter your input: ').split(',')
if len(sentence) > 1:
print('First word: {se... | How do I parse a string without running into infinite loops? | Hello everyone I have a question regarding a parsing of string and this is the code I have so far:
sentence =' '
while sentence != 'q':
sentence = input('Please enter your input: ').split(',')
if len(sentence) > 1:
print('First word: {sentence[0]}')
print('Second word: {sentence[1]}')
c... | [
"I think the key to understanding your problem may be here:\nsentence = input('Please enter your input: ').split(',')\n\nYou are storing the user input in a string, but then you are calling the string method str.split(). This method basically returns a list of sub-strings, based on the separator you pass as an argu... | [
1,
0,
0,
0,
0,
0
] | [] | [] | [
"parsing",
"python",
"string"
] | stackoverflow_0074205880_parsing_python_string.txt |
Q:
Return a specific field using ForeignKey
class Client(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
client_name = models.CharField('Nom et prénom', max_length=120)
def __str__(self):
return self.client_name
class OtherInfos(models.Model):
id = ... | Return a specific field using ForeignKey | class Client(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
client_name = models.CharField('Nom et prénom', max_length=120)
def __str__(self):
return self.client_name
class OtherInfos(models.Model):
id = models.UUIDField(primary_key=True, default=uui... | [
"You can access data in this way\n{% for info in information %}\n {{ info }}\n {% for other_info in info.info_evolution_set.all %}\n {{ other_info }}\n {% endfor %}\n{% endfor %}\n\nThis is the pattern for it, you can add the third model to it, good luck\n",
"Well, the problem was that the u... | [
0,
0
] | [] | [] | [
"django",
"django_models",
"many_to_many",
"python"
] | stackoverflow_0074155409_django_django_models_many_to_many_python.txt |
Q:
How to normalize image to remove brightness variations
In computer vision course the teacher says that first of all image should be normalized to remove brightness variations.
The link for the video https://youtu.be/0WNiYrRjJbM
The formula looks like below:
I = I/||I||, where I is an image, ||I|| is the magnitude ... | How to normalize image to remove brightness variations | In computer vision course the teacher says that first of all image should be normalized to remove brightness variations.
The link for the video https://youtu.be/0WNiYrRjJbM
The formula looks like below:
I = I/||I||, where I is an image, ||I|| is the magnitude of this image.
Could somebody explain how to implement this ... | [
"Below is the small code i wrote which does image normalization.\nimport numpy as np \nimport cv2\n\nimg = cv2.imread(\"../images/segmentation/peppers_BlueHills.png\")\nprint(\"img shape = \", img.shape)\nprint(\"img type = \", img.dtype)\nprint(\"img[0][0]\", img[0][0])\n\n#2-norm\nnorm = np.linalg.norm(img)\nprin... | [
1
] | [] | [] | [
"image_processing",
"numpy",
"opencv",
"python"
] | stackoverflow_0074182811_image_processing_numpy_opencv_python.txt |
Q:
Return name of category with best average rating from list
I have list of products and I need to calculate average rating for every category based on it's products rating. The problem is that I don't know exactly number of categories and products in each category.
So basically there is n categories and m products ... | Return name of category with best average rating from list | I have list of products and I need to calculate average rating for every category based on it's products rating. The problem is that I don't know exactly number of categories and products in each category.
So basically there is n categories and m products in it and need to calculate average rating of every category and... | [
"Try:\ndata = {\n \"products\": [\n {\n \"category\": \"pc\",\n \"rating\": 1000,\n },\n {\n \"category\": \"pc\",\n \"rating\": 800,\n },\n {\n \"category\": \"phone\",\n \"rating\": 860,\n },\n {\... | [
1
] | [] | [] | [
"arrays",
"dictionary",
"json",
"python",
"sorting"
] | stackoverflow_0074206367_arrays_dictionary_json_python_sorting.txt |
Q:
How to generate a single coverage report with parallel tests in gitlab-ci.yml
If there exist multiple test scripts in a .gitlab-ci.yml file, for example:
.run_warehouse_tests: &run_warehouse_tests |
echo "Running tests for Warehouse"
python -m pytest --durations=0 ./src/unittest -m warehouse --junitxml="junit-... | How to generate a single coverage report with parallel tests in gitlab-ci.yml | If there exist multiple test scripts in a .gitlab-ci.yml file, for example:
.run_warehouse_tests: &run_warehouse_tests |
echo "Running tests for Warehouse"
python -m pytest --durations=0 ./src/unittest -m warehouse --junitxml="junit-test-result-warehouse.xml" -v
python -m pytest ./src/unittest --cov-report xml --... | [
"Create a .coveragerc file with this:\n[run]\nparallel = true\n\nThis will make each run choose a unique name for the coverage data file.\nCombine the files with\ncoverage combine\n\nThen you can generate reports with:\ncoverage html\ncoverage lcov\n# etc\n\n"
] | [
0
] | [] | [] | [
"code_coverage",
"gitlab_ci.yml",
"python",
"unit_testing"
] | stackoverflow_0074191759_code_coverage_gitlab_ci.yml_python_unit_testing.txt |
Q:
pandas dataframe group by values of a column
I have the following dataframe:
id
expNumber
attempt
finished
successful
1
1
1
true
false
1
1
2
false
false
1
1
3
true
true
1
2
1
false
false
1
2
2
true
false
1
2
3
true
true
1
4
1
false
false
1
4
2
false
false
id,expNumber,attempt,finished,successful,
1,1,1,t... | pandas dataframe group by values of a column | I have the following dataframe:
id
expNumber
attempt
finished
successful
1
1
1
true
false
1
1
2
false
false
1
1
3
true
true
1
2
1
false
false
1
2
2
true
false
1
2
3
true
true
1
4
1
false
false
1
4
2
false
false
id,expNumber,attempt,finished,successful,
1,1,1,true,false,
1,1,2,false,false,
1,1,... | [
"You can do either of the following:\ndf.groupby(\"finished\").count()\n\nOr:\ndf[\"finished\"].value_counts()\n\n",
"Select columns for count and use value_counts:\ndf = df[['finished','successful']].apply(pd.value_counts)\nprint(\"test\", df)\ntest finished successful\nFalse 4 6\nTrue ... | [
1,
1
] | [] | [] | [
"dataframe",
"pandas",
"python"
] | stackoverflow_0074206455_dataframe_pandas_python.txt |
Q:
Flask-migrate upgrade fails because the application needs to run code that modifies the db on startup
I have a Flask application that needs to run code on startup. In my case, it detects available cloud resources and writes those to a table in a database.
The problem is that when I run flask db upgrade, then flask... | Flask-migrate upgrade fails because the application needs to run code that modifies the db on startup | I have a Flask application that needs to run code on startup. In my case, it detects available cloud resources and writes those to a table in a database.
The problem is that when I run flask db upgrade, then flask-migrate executes the application startup code, including the code that tries to write to the db table. Sin... | [
"I ended up solving this problem by just creating a separate file, which runs the startup tasks:\napp = Flask(__name__, static_url_path=None)\nwith app.app_context():\n db = set_up_database_connection()\n\nrun_startup_tasks()\n\nThis file is run before the main application is run, and after the migrations are ru... | [
0
] | [] | [] | [
"flask",
"flask_migrate",
"python"
] | stackoverflow_0074206531_flask_flask_migrate_python.txt |
Q:
Discord.py: NameError: name 'intents' is not defined
I'm trying to use intents in my bot but when running the following code:
import discord
from discord.ext import commands
intents = discord.Intents.default()
intents.members = True
bot = commands.Bot(command_prefix=prefix, intent=intents)
I get the error:
Fil... | Discord.py: NameError: name 'intents' is not defined | I'm trying to use intents in my bot but when running the following code:
import discord
from discord.ext import commands
intents = discord.Intents.default()
intents.members = True
bot = commands.Bot(command_prefix=prefix, intent=intents)
I get the error:
File "/opt/virtualenvs/python3/lib/python3.8/site-packages/di... | [
"You are most likely not actually using discord.py 1.5.1, you can print discord.__version__ after importing it to double check. Best practise is to use Python venv for packages like this.\nAdditionally, to make sure you are always accessing the correct pip, you can use python -m pip. This means you are always using... | [
1,
0
] | [] | [] | [
"android_intent",
"discord",
"discord.py",
"python"
] | stackoverflow_0064938766_android_intent_discord_discord.py_python.txt |
Q:
displaying old file instead of new appended one, python
Im creating this maths game with a leaderboard that uses a text file. after appending a new entry to the leaderboard, the game only displays the old version of the file.
Below is my code. How can I edit the below so that it outputs updated entries?
def sa... | displaying old file instead of new appended one, python | Im creating this maths game with a leaderboard that uses a text file. after appending a new entry to the leaderboard, the game only displays the old version of the file.
Below is my code. How can I edit the below so that it outputs updated entries?
def saveleader(self):
file=open('Leaderboard.txt',"a")
... | [
"You have did a minor mistake, Here is the fixed code:-->\ndef saveleader(self):\n file=open('Leaderboard.txt',\"a\")\nfile.write(Timestable.name.get()+\",\"+Timestable.age.get()+\",\"+str(data.percent)+\"%\"\"\\n\")\nfile.close()\n\nfile1=open(\"Leaderboard.txt\",\"r\").read()\nheaders = \" \".join([\"Name\", \... | [
0
] | [] | [] | [
"file",
"python",
"tkinter",
"txt"
] | stackoverflow_0074206477_file_python_tkinter_txt.txt |
Q:
To take the x axis value of the y axis maxima
When I run this code, I am getting an error of 'TypeError: 'RangeIndex' object is not callable'. I am a newbie. Please help and thanks in advance.
df_60Methanol = (pd.read_csv("40% Ethanol and 60% Methanol.csv", sep=';'))
Methanol1 = df_60Methanol.dropna()
plt.plot(Met... | To take the x axis value of the y axis maxima | When I run this code, I am getting an error of 'TypeError: 'RangeIndex' object is not callable'. I am a newbie. Please help and thanks in advance.
df_60Methanol = (pd.read_csv("40% Ethanol and 60% Methanol.csv", sep=';'))
Methanol1 = df_60Methanol.dropna()
plt.plot(Methanol1["Wavelength"], Methanol1["Intensity"])
a= Me... | [
"b.index is a RangeIndex of the generated dataframe and has nothing to do with the index method of a list.\nIf you want to access the value of another column at a maximum, you can first filter the dataframe and then access the other column.\nSo you can replace\nmax1 = Methanol1[\"Intensity\"].max()\nxvalue= a[b.ind... | [
0
] | [] | [] | [
"python"
] | stackoverflow_0074193084_python.txt |
Q:
Input does not matter, it always goes to Twitter?
import webbrowser
T = "www.twitter.com"
R = "www.reddit.com"
Y = "www.youtube.com"
while True:
print('Enter T for Twitter')
print('Enter R for Reddit')
print('Enter Y for Youtube')
input()
if (T):
webbrowser.open_new("www.twitter.com... | Input does not matter, it always goes to Twitter? | import webbrowser
T = "www.twitter.com"
R = "www.reddit.com"
Y = "www.youtube.com"
while True:
print('Enter T for Twitter')
print('Enter R for Reddit')
print('Enter Y for Youtube')
input()
if (T):
webbrowser.open_new("www.twitter.com")
break
elif (R):
webbrowser.open_... | [
"import webbrowser\n\nT = \"www.twitter.com\"\nR = \"www.reddit.com\"\nY = \"www.youtube.com\"\nprint('Enter T for Twitter')\nprint('Enter R for Reddit')\nprint('Enter Y for Youtube')\na=input()\nwhile True:\n if a in \"Tt\":\n webbrowser.open_new(\"www.twitter.com\")\n break\n elif a in \"Rr\":... | [
0
] | [] | [] | [
"python",
"python_3.x"
] | stackoverflow_0074206459_python_python_3.x.txt |
Q:
How to find the common elements of among the columns of a data-frame when dimensions are not same
a = [1, 2, 3, 4, 7, 9, 12]
df_1 = pd.DataFrame(a, columns=['X'])
b=[4, 8, 9, 11]
df_2 = pd.DataFrame(b, columns=['Y'])
df_f= pd.concat([df_1, df_2], axis=1)
Final data frame is looks like
X Y
0 1 4.0
1 ... | How to find the common elements of among the columns of a data-frame when dimensions are not same | a = [1, 2, 3, 4, 7, 9, 12]
df_1 = pd.DataFrame(a, columns=['X'])
b=[4, 8, 9, 11]
df_2 = pd.DataFrame(b, columns=['Y'])
df_f= pd.concat([df_1, df_2], axis=1)
Final data frame is looks like
X Y
0 1 4.0
1 2 8.0
2 3 9.0
3 4 11.0
4 7 NaN
5 9 NaN
6 12 NaN
I need to find the common elem... | [
"You can use .loc[] and .isin() to look for the values in X that are also in Y:\ndf_f.loc[df_f['X'].isin(df_f['Y']), 'X']\n\n3 4\n5 9\nName: X, dtype: int64\n\nThis will output a series of those values from X. You can use .to_list() on the end to output these as a list:\ndf_f.loc[df_f['X'].isin(df_f['Y']), 'X... | [
0,
0
] | [] | [] | [
"python"
] | stackoverflow_0074206548_python.txt |
Q:
Problem about using talib to generate MACD dataframe using different period sets
import yfinance as yf
import pandas as pd
import talib
code = '2800'
para_dict = {
'sample_period_list': [200],
'fastperiod_list': [12, 16],
'slowperiod_list': [26, 30],
'signalperiod_list': [8, 12],
'higher_perce... | Problem about using talib to generate MACD dataframe using different period sets | import yfinance as yf
import pandas as pd
import talib
code = '2800'
para_dict = {
'sample_period_list': [200],
'fastperiod_list': [12, 16],
'slowperiod_list': [26, 30],
'signalperiod_list': [8, 12],
'higher_percentile_list': [0.8],
'profit_target': [0.04],
'stop_loss': [-0.04]
}
start_dat... | [
"The reason is because you're pointing to the same dataframe , if you change one they all change so in your example they will be all equal to the last df.\nyou can read more in it in those questions :\nModifying one dataframe appears to change another\nWhy can pandas DataFrames change each other?\nAs a solution to ... | [
0
] | [] | [] | [
"dataframe",
"period",
"python",
"technical_indicator",
"yfinance"
] | stackoverflow_0074198109_dataframe_period_python_technical_indicator_yfinance.txt |
Q:
Django-Debug-Toolbar is not showing
I am building BlogApp and I am trying to run Django-Debug-Toolbar BUT it is not showing. I have seen many answers BUT nothing worked for me.
I have installed it correctly according to the Documentation
I have added in installed apps , middlewares and urls and also collecstatic. ... | Django-Debug-Toolbar is not showing | I am building BlogApp and I am trying to run Django-Debug-Toolbar BUT it is not showing. I have seen many answers BUT nothing worked for me.
I have installed it correctly according to the Documentation
I have added in installed apps , middlewares and urls and also collecstatic. BUT still not showing when i go to Browse... | [
"This code I placed at the bottom of settings and solved my problems:\nsettings.py\nimport mimetypes\nmimetypes.add_type(\"application/javascript\", \".js\", True)\n\nDEBUG_TOOLBAR_PATCH_SETTINGS = False\n\ndef show_toolbar(request):\n return True\n \nDEBUG_TOOLBAR_CONFIG = {\n'INTERCEPT_REDIRECTS': False,\n\... | [
4,
0,
0
] | [] | [] | [
"debugging",
"django",
"django_debug_toolbar",
"python"
] | stackoverflow_0067200506_debugging_django_django_debug_toolbar_python.txt |
Q:
Is there a way to fill in dates periodically in Python?
I am VERY new to this world so I apologise in advance if this question is extremely obvious.
Essentially, I have a .csv file for the S&P500 where the dates 'skip' over the weekend, which makes merging it to another dataframe quite tricky. I am wondering wheth... | Is there a way to fill in dates periodically in Python? | I am VERY new to this world so I apologise in advance if this question is extremely obvious.
Essentially, I have a .csv file for the S&P500 where the dates 'skip' over the weekend, which makes merging it to another dataframe quite tricky. I am wondering whether there is a way to add those weekend dates to the S&P500 da... | [
"Based on your open question, I can provide you with some links for getting started. Check out pandas resample to build an continuous timeseries. On how to fill missing data, you can checkout fillna\nIf you provide a concrete sample (code) of the input data and how your desired output should look like, maybe we can... | [
0
] | [] | [] | [
"dataframe",
"python"
] | stackoverflow_0074206537_dataframe_python.txt |
Q:
python from ['a','b','c','d'] to ['a', 'ab', abc', 'abcd']
I have a list ['a','b','c','d'], want to make another list, like this: ['a', 'ab', abc', 'abcd']?
Thanks
Tried:
list1=['a','b','c', 'd']
for i in range(1, (len(list1)+1)):
for j in range(1, 1+i):
print(*[list1[j-1]], end = "")
... | python from ['a','b','c','d'] to ['a', 'ab', abc', 'abcd'] | I have a list ['a','b','c','d'], want to make another list, like this: ['a', 'ab', abc', 'abcd']?
Thanks
Tried:
list1=['a','b','c', 'd']
for i in range(1, (len(list1)+1)):
for j in range(1, 1+i):
print(*[list1[j-1]], end = "")
print()
returns:
a
ab
abc
abcd
It does print what i wan... | [
"Use itertools.accumulate, which by default sums up the elements for accumulation like a cummulative sum. Since addition (__add__) is defined for str and results in the concatenation of the strings\nassert \"a\" + \"b\" == \"ab\"\n\nwe can use accumulate as is:\nimport itertools\n\nlist1 = [\"a\", \"b\", \"c\", \"d... | [
6,
2,
1,
1,
1,
0
] | [] | [] | [
"list",
"python"
] | stackoverflow_0074206636_list_python.txt |
Q:
Split a large txt file into small ones but not all the data is read using python
There is a .txt file with data like following:
1 00000001.setts 0x
2 00000002.setts 0x
3 00000003.setts 0x
4 00000004.setts 0x
...
59876 0000e9e4.setts 0x
59877 0000e9e5.setts 0x
59878 0000e9e6.setts 0x
the number of strings a... | Split a large txt file into small ones but not all the data is read using python | There is a .txt file with data like following:
1 00000001.setts 0x
2 00000002.setts 0x
3 00000003.setts 0x
4 00000004.setts 0x
...
59876 0000e9e4.setts 0x
59877 0000e9e5.setts 0x
59878 0000e9e6.setts 0x
the number of strings are always dynamic and far from ending in a round number (there are about 100k of them)... | [
"welcome to Stack Overflow. This question has already been answered elsewhere, see this post: Splitting large text file into smaller text files by line numbers using Python.\n",
"Hi and welcome to Stackoverflow. I recommend reading some basic tutorials about Reading and Writing Files in Python. The only thing you... | [
1,
0,
0
] | [] | [] | [
"python"
] | stackoverflow_0074206462_python.txt |
Q:
Aptos sdk transaction_argument
I have made a bot in python for minting, but there is one problem. When I'm sending args in payload for contract, It's sending this:
But when I do a manual mint, arguments are in string and not bytes¨
I'm using aptos_sdk
A:
Try this
payload = EntryFunction.natural(
... | Aptos sdk transaction_argument | I have made a bot in python for minting, but there is one problem. When I'm sending args in payload for contract, It's sending this:
But when I do a manual mint, arguments are in string and not bytes¨
I'm using aptos_sdk
| [
"Try this\npayload = EntryFunction.natural(\n f\"{mint_address}::candy_machine_v2\",\n \"mint_tokens\",\n [],\n transaction_arguments,\n )\n\n"
] | [
1
] | [] | [] | [
"aptos",
"blockchain",
"contract",
"python"
] | stackoverflow_0074177609_aptos_blockchain_contract_python.txt |
Q:
want to list out the 1| 2| 3| in separate column and sum of all related number with another column
want to list out the 1| 2| 3| in separate column (a) it the first items seperated by ; and sum of all related number with another column (d)
data structure
1|1=89325|2=96682|3=81940 267947
2|1=17162|2=21282|3=23033... | want to list out the 1| 2| 3| in separate column and sum of all related number with another column | want to list out the 1| 2| 3| in separate column (a) it the first items seperated by ; and sum of all related number with another column (d)
data structure
1|1=89325|2=96682|3=81940 267947
2|1=17162|2=21282|3=23033; 61477
3|1=71761|2=73375|3=83581; 228717
coding
a = {'TAG': ';1|1=89325|2=96682|3=81940;2|1=17162|2=... | [
"Solution which doesn't use regex but it generates the expected output:\nimport pandas as pd\nfrom itertools import chain\n\na = {'TAG': '1@@@;1|1=89325|2=96682|3=81940;2|1=17162|2=21282|3=23033;3|1=71761|2=73375|3=83581'}\n\nlist_of_lists = []\n\n# Transform string into list of lists of tuples\nfor row in a['TAG']... | [
1
] | [] | [] | [
"python",
"regex"
] | stackoverflow_0074205468_python_regex.txt |
Q:
Python merge by closest date for a particular client
I am new on Python and I thank you therefore for your help.
Here is my dF :
df = pd.DataFrame{'Id': {0: 'ae9b0886-7e2b-4c37-a3a3',
1: 'ae9b0886-7e2b-4c37-a3a3',
2: 'ae290c85-9dfb-440f-becb',
3: 'ae290c85-9dfb-440f-becb',
4: 'ae290c85-9dfb-440f-becb',
5: 'ae290c8... | Python merge by closest date for a particular client | I am new on Python and I thank you therefore for your help.
Here is my dF :
df = pd.DataFrame{'Id': {0: 'ae9b0886-7e2b-4c37-a3a3',
1: 'ae9b0886-7e2b-4c37-a3a3',
2: 'ae290c85-9dfb-440f-becb',
3: 'ae290c85-9dfb-440f-becb',
4: 'ae290c85-9dfb-440f-becb',
5: 'ae290c85-9dfb-440f-becb',
6: 'ae290c85-9dfb-440f-becb',
7: 'ae290... | [
"You can use merge_asof with the correct parameters:\ndf['DTHR_OPERATION'] = pd.to_datetime(df['DTHR_OPERATION'])\n\nout = pd.merge_asof(\n # left dataframe saving original index as column\n df.reset_index().sort_values(by='DTHR_OPERATION'),\n # right: same dataframe renaming ... | [
0
] | [] | [] | [
"datetime",
"merge",
"pandas",
"python"
] | stackoverflow_0074206471_datetime_merge_pandas_python.txt |
Q:
Impute missing values with prediction from linear regression in a Pandas dataframe
I'm working with this Dataframe named na where I filtered only the missing values, all included in the d column
genuine a b c d e f
23 True 171.94 103.89 103.45 NaN 3.25 112.79... | Impute missing values with prediction from linear regression in a Pandas dataframe | I'm working with this Dataframe named na where I filtered only the missing values, all included in the d column
genuine a b c d e f
23 True 171.94 103.89 103.45 NaN 3.25 112.79
75 True 171.60 103.85 103.91 NaN 2.56 113.27
210 True 172.03 ... | [
"To solve this topic, I finally found a way to do it (I suppose another code could be more efficient but for now it works with this one).\n#create a new DF to store prediction and ID position\ndf_null = pd.DataFrame(y_null, columns=['prevision'])\n\n#reset index on na DF\nnan=na.copy().reset_index()\n\n#add column ... | [
1
] | [
"Always use Preprocessing Data.\ndf.info()___Show null columns\ndf.isnull().sum()______Show missing values\n\nyou can:\n1.Dropping missing data:\ndf.drop(['col1', 'col2'], axis=1, inplace=True)___delete columns\n\ndf.dropna(inplace=True)_____delete rows(if contain Nan)\n\n\nImputing missing data:\ndf['col1'].fillna... | [
-1
] | [
"linear_regression",
"pandas",
"python",
"scikit_learn"
] | stackoverflow_0073612924_linear_regression_pandas_python_scikit_learn.txt |
Q:
Attribute scaling anomaly
I'm making a 2D game that uses 2D transformations to get an objects position in its environment to the relative position it will be drawn at. As if viewed through a moving camera.
In the zoom function I take the position vector (self.pos) and scale it with a value (z).
Assigning this valu... | Attribute scaling anomaly | I'm making a 2D game that uses 2D transformations to get an objects position in its environment to the relative position it will be drawn at. As if viewed through a moving camera.
In the zoom function I take the position vector (self.pos) and scale it with a value (z).
Assigning this value to a different attribute (sel... | [
"while it is not clear from your question, it seems like you have self.zoom_pos = self.pos somewhere in your code, so these two variables are now pointing to the same object, and any change to one will change the other\nan easy fix is to change that line to:\nimport copy # somewhere at the top\n\nself.zoom_pos = c... | [
0
] | [] | [] | [
"class",
"python"
] | stackoverflow_0074206770_class_python.txt |
Q:
Suppressing printing epoch in PyGad
I'm using Pygad to train a Keras NN through genetic algorithm, and as far as I can tell the code works, however, I do not know how to prevent it from printing the epoch in the terminal:
ga_instance = pygad.GA(num_generations=15, num_parents_mating=5, fitness_func=fitness_func,
... | Suppressing printing epoch in PyGad | I'm using Pygad to train a Keras NN through genetic algorithm, and as far as I can tell the code works, however, I do not know how to prevent it from printing the epoch in the terminal:
ga_instance = pygad.GA(num_generations=15, num_parents_mating=5, fitness_func=fitness_func,
initial_population=keras_ga.population_we... | [
"Check the fitness and on_generation functions, if you use any print statements and remove them.\nOtherwise, the PyGad doesn't print output with itself unless there are warnings or errors.\nAnd you already prevented the suppress warnings\nsuppress_warnings: A bool parameter to control whether the warning messages a... | [
2,
2
] | [] | [] | [
"genetic_algorithm",
"machine_learning",
"python",
"tensorflow"
] | stackoverflow_0072449191_genetic_algorithm_machine_learning_python_tensorflow.txt |
Q:
How to create paste on rentry.co with python?
How do I create a request to rentry.co in order to create pastes?
I've tried to solve this in Python but I get the following response:
403 reason: Forbidden ...
I tried changing the URL and adding my cookie.
My code looks currently as follows.
import requests
text =... | How to create paste on rentry.co with python? | How do I create a request to rentry.co in order to create pastes?
I've tried to solve this in Python but I get the following response:
403 reason: Forbidden ...
I tried changing the URL and adding my cookie.
My code looks currently as follows.
import requests
text = "Hello World!"
data = {"text":text}
r = requests... | [
"try this\n#!/usr/bin/env python3\n\nimport http.cookiejar\nimport sys\nimport urllib.parse\nimport urllib.request\nfrom http.cookies import SimpleCookie\nfrom json import loads as json_loads\n\n_headers = {\"Referer\": 'https://rentry.co'}\n\n\nclass UrllibClient:\n \"\"\"Simple HTTP Session Client, keeps cooki... | [
0
] | [] | [] | [
"api",
"python"
] | stackoverflow_0072408472_api_python.txt |
Q:
Binance order: Timestamp for this request was 1000ms ahead of the server's time
I am writing some Python code to create an order with the Binance API:
from binance.client import Client
client = Client(API_KEY, SECRET_KEY)
client.create_order(symbol='BTCUSDT',
recvWindow=59999, #The value can'... | Binance order: Timestamp for this request was 1000ms ahead of the server's time | I am writing some Python code to create an order with the Binance API:
from binance.client import Client
client = Client(API_KEY, SECRET_KEY)
client.create_order(symbol='BTCUSDT',
recvWindow=59999, #The value can't be greater than 60K
side='BUY',
type='MARKE... | [
"Probably the PC's time is out of sync.\nYou can do it using Windows -> Setting-> Time & Language -> Date & Time -> 'Sync Now'.\nScreenshot:\n\n",
"Manually set your clock back 1 second, ensure that ALL time updates are off. Daylights savings, autosync etc.\n",
"I actually used the accepted solution as it is de... | [
9,
2,
1,
0
] | [] | [] | [
"binance_api_client",
"cryptoapi",
"datetime",
"python"
] | stackoverflow_0071530764_binance_api_client_cryptoapi_datetime_python.txt |
Q:
Cascading Dictionary to Data Frame
I have code that creates a data frame and a dictionary. I attempt to cascade the dictionary's values to a new data frame column if the key appears in any row of the data frame, but I get an error. See below for the code tried as well as the error message
import pandas as pd
df... | Cascading Dictionary to Data Frame | I have code that creates a data frame and a dictionary. I attempt to cascade the dictionary's values to a new data frame column if the key appears in any row of the data frame, but I get an error. See below for the code tried as well as the error message
import pandas as pd
df = pd.DataFrame({'key' : [['vs', 'vscode... | [
"df = pd.DataFrame({'key' : [['vs', 'vscode'], ['jupyter and jupyterlab', 'python'], ['python'], ['it was spyder before dawn']]})\n\nmy_dict = {'vscode' : 'is awesome',\n 'spyder' : 'is not so awesome, but hes ok, ig',\n 'vs' : 'is gross',\n 'same' : 'can fly'}\n\ndef cascade_col(row_v... | [
0
] | [] | [] | [
"dataframe",
"dictionary",
"pandas",
"python",
"tuples"
] | stackoverflow_0074202503_dataframe_dictionary_pandas_python_tuples.txt |
Q:
Python - Selenium - Select Dropdown
I am trying to select a dropdown box.
The code from the page is:
<span class="sui-dropdown" tabindex="0" style="width: 150px;">
<select class="dropdown-soberanos-plazo" style="display: none;">
<option value="CI">CI</option><option value="24hs">24hs</option>
<option value="48hs">... | Python - Selenium - Select Dropdown | I am trying to select a dropdown box.
The code from the page is:
<span class="sui-dropdown" tabindex="0" style="width: 150px;">
<select class="dropdown-soberanos-plazo" style="display: none;">
<option value="CI">CI</option><option value="24hs">24hs</option>
<option value="48hs">48hs</option>
</select>
<span class="sui-... | [
"From your added code and HTML I can give you the idea, try the below Solution.\ndriver.find_elements returns list of WebElements.\nIt should be driver.find_element. Note the s in find_element.\nSo, the line of code should be like\nSelect(driver.find_element(By.XPATH,'//*[@id=\"soberanos\"]/div/div[3]'))\n\nLet us ... | [
0,
0
] | [] | [] | [
"drop_down_menu",
"python",
"select",
"selenium"
] | stackoverflow_0074142411_drop_down_menu_python_select_selenium.txt |
Q:
Expected ":" pylance [ln3 , Col 14] error
I am a beginner in python . i am getting this error in python . please tell me the logic behind this error .
def sequence (n):
while n ! == 1:
print(n)
if n%2 == 0:
n = n/2
else:
n=n*3+1
please tell me the logic behind th... | Expected ":" pylance [ln3 , Col 14] error | I am a beginner in python . i am getting this error in python . please tell me the logic behind this error .
def sequence (n):
while n ! == 1:
print(n)
if n%2 == 0:
n = n/2
else:
n=n*3+1
please tell me the logic behind this error
| [
"# declaring a function that takes a value n as a parameter\ndef sequence (n):\n # checking if n is not equal to 1, if yes moving into the loop\n while n != 1: # n ! == 1 will give error, this is not the correct syntax to compare values in python\n # printing the value\n print(n)\n # if n is an e... | [
1,
1
] | [] | [] | [
"python"
] | stackoverflow_0074206850_python.txt |
Q:
python selenium - locate elements which contains two styles inside style attribute
Trying to locate all elements on page
<i data-visualcompletion="css-img" class="x1b0d499 xep6ejk" style="background-image: url("https://static.xx.fbcdn.net/rsrc.php/v3/yd/r/A6Wu9TeIieI.png"); background-position: 0px -1304... | python selenium - locate elements which contains two styles inside style attribute | Trying to locate all elements on page
<i data-visualcompletion="css-img" class="x1b0d499 xep6ejk" style="background-image: url("https://static.xx.fbcdn.net/rsrc.php/v3/yd/r/A6Wu9TeIieI.png"); background-position: 0px -1304px; background-size: auto; width: 16px; height: 16px; background-repeat: no-repeat; disp... | [
"You can use logical and operator inside the XPath locator, as following:\ndriver.find_elements(By.XPATH, \"//*[contains(@style, 'width: 16px') and(contains(@style, 'height: 16px')) and(contains(@style, 'background-repeat: no-repeat')) and(contains(@style, 'display: inline-block'))]\")\n\nThe above is example only.... | [
1
] | [] | [] | [
"python",
"selenium",
"selenium_webdriver",
"xpath"
] | stackoverflow_0074206650_python_selenium_selenium_webdriver_xpath.txt |
Q:
How to change the color of an old photo to real color in python
Hi I would like to know how can I change the color of an old black and white photo to real color with python.
I have tried and I don't know how to do it, I need help.
A:
This is one way of dong it:
import numpy as np
import cv2
from cv2 import dnn
... | How to change the color of an old photo to real color in python | Hi I would like to know how can I change the color of an old black and white photo to real color with python.
I have tried and I don't know how to do it, I need help.
| [
"This is one way of dong it:\nimport numpy as np\nimport cv2\nfrom cv2 import dnn\n\nproto_file = 'Model\\colorization_deploy_v2.prototxt'\nmodel_file = 'Model\\colorization_release_v2.caffemodel'\nhull_pts = 'Model\\pts_in_hull.npy'\nimg_path = 'images/img1.jpg'\n\n\n#Reading the model params\nnet = dnn.readNetFro... | [
0
] | [] | [] | [
"python"
] | stackoverflow_0074206935_python.txt |
Q:
How to use regex as an alternative to nested loop with re.search in Pandas?
This is auxiliary to this post: Is there better way to iterate over nested loop for rows (30000)?
I would like to find rows in following table, which contain non dutch bank numbers. I create an extra column in the dataframe in the followin... | How to use regex as an alternative to nested loop with re.search in Pandas? | This is auxiliary to this post: Is there better way to iterate over nested loop for rows (30000)?
I would like to find rows in following table, which contain non dutch bank numbers. I create an extra column in the dataframe in the following code with value 'ja', when a bank number is not dutch, i.e. it does not contain... | [
"A loop isn't necessary here. Neither is regex.\nIf you're only looking for IBAN (not) starting with \"NL\":\nimport pandas as pd\n\ndata={'IBAN':['NLAMRO123456789','NLINGB126656723','BGFFEO128856754','NLAMRO123896763','DUDMRO567456722','NLRABO123456712']}\ndf=pd.DataFrame(data)\n\ndf['No Dutch Bank'] = df['IBAN'].... | [
1,
0
] | [] | [] | [
"dataframe",
"pandas",
"python"
] | stackoverflow_0074204839_dataframe_pandas_python.txt |
Q:
How to split hexadecimal numbers in a text file on a specific condition?
I have a file named output.txt and it contain following datas.
number="0x12" bytesize="4" info="0x00000012"
number="0xA5" bytesize="8" info="0x00000000bbae321f"
number="0x356" bytesize="4" info="0x00000234"
number="0x48A" bytesize="8" info="0... | How to split hexadecimal numbers in a text file on a specific condition? | I have a file named output.txt and it contain following datas.
number="0x12" bytesize="4" info="0x00000012"
number="0xA5" bytesize="8" info="0x00000000bbae321f"
number="0x356" bytesize="4" info="0x00000234"
number="0x48A" bytesize="8" info="0x00000000a18c3ba3"
number="0x156" bytesize="2" info="0x001A"
number="0x867" by... | [
"There are a number of ways that you could do this. Separating out the parsing of the file, processing the data, writing it seems to offer the best flexibility.\nThe number, bytesize, and info values appear to be integers so if they are stored as integers this makes checking the bytesize an easy operation.\nIt also... | [
1,
1
] | [] | [] | [
"python",
"python_3.x"
] | stackoverflow_0074203328_python_python_3.x.txt |
Q:
Convert the string into a float value
I have copied a table with three columns from a pdf file. I am attaching the screenshot from the PDF here:
The values in the column padj are exponential values, however, when you copy from the pdf to an excel and then open it with pandas, these are strings or object data typ... | Convert the string into a float value | I have copied a table with three columns from a pdf file. I am attaching the screenshot from the PDF here:
The values in the column padj are exponential values, however, when you copy from the pdf to an excel and then open it with pandas, these are strings or object data types. Hence, these values cannot be parsed as... | [
"With the dataframe shared in the question on this last edit, the following using pandas.Series.str.replace and pandas.Series.astype will do the work:\ndf['padj'] = df['padj'].str.replace('×10','e').str.replace(' ', '').astype(float)\n\nThe goal is to get the cells to look like the following 1.560000e-08.\n\nNotes:... | [
1,
1,
1,
1
] | [] | [] | [
"dataframe",
"numpy",
"pandas",
"python"
] | stackoverflow_0074205860_dataframe_numpy_pandas_python.txt |
Q:
How to solve Matrix Riccati ODE in python
I want to solve the following Matrix Riccati ODE.
My Matrix Riccati ODE
After searching on the Internet, I found that there is something called continuous-time algebraic Riccati equation (CARE) https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_continu... | How to solve Matrix Riccati ODE in python | I want to solve the following Matrix Riccati ODE.
My Matrix Riccati ODE
After searching on the Internet, I found that there is something called continuous-time algebraic Riccati equation (CARE) https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_continuous_are.html#scipy.linalg.solve_continuous_are
... | [
"You can use the modified Davison-Maki method to solve your Riccati equation.\nSee https://arxiv.org/pdf/1910.13362.pdf (Algorithm 2). The method is easy to implement.\n"
] | [
0
] | [] | [] | [
"controls",
"matrix",
"ode",
"python",
"stochastic_process"
] | stackoverflow_0072055651_controls_matrix_ode_python_stochastic_process.txt |
Q:
trying to open a tunnel with ngrok api
I want to use pyngrok's .connect function to route the connection to a specific ip address like 192.168.0.171 instead of the default local host. I've read through the documentation but cannot find anything relevant.
tunnel = ngrok.connect(25565,"tcp")
how do I add the IP add... | trying to open a tunnel with ngrok api | I want to use pyngrok's .connect function to route the connection to a specific ip address like 192.168.0.171 instead of the default local host. I've read through the documentation but cannot find anything relevant.
tunnel = ngrok.connect(25565,"tcp")
how do I add the IP address here?
ive tried to put the ip address a... | [
"You can pass the IP address:port to the connect method as the first argument like this:\ntunnel = ngrok.connect(\"192.168.0.171:25565\", \"tcp\")\n\n"
] | [
0
] | [] | [] | [
"ngrok",
"portforwarding",
"pyngrok",
"python",
"server"
] | stackoverflow_0074205689_ngrok_portforwarding_pyngrok_python_server.txt |
Q:
A multipart/form-data with nested serializers and files, DRF raises "The submitted data was not a file. Check the encoding type on the form."
I have this issue with using a multipart/form-data, nested serializers and the upload of images/files. I think my models and serializers are working well, but in some moment... | A multipart/form-data with nested serializers and files, DRF raises "The submitted data was not a file. Check the encoding type on the form." | I have this issue with using a multipart/form-data, nested serializers and the upload of images/files. I think my models and serializers are working well, but in some moment during the parse of the form data is when it fails.
I've just extended the BaseParser to parse strings to lists and dicts.
parsers.py
class MultiP... | [
"I've come to a solution, which is not the desired for me but it works.\nI have discovered that for any unknown reason, the file/image field is being inserted into a list if I was using my MultiPartJSONParser.\nTo solve it I have to extract this fields from the list in the views.py before calling super().create() o... | [
1
] | [] | [] | [
"django",
"django_rest_framework",
"multipartform_data",
"python",
"serialization"
] | stackoverflow_0074184141_django_django_rest_framework_multipartform_data_python_serialization.txt |
Q:
How to index string using map function
I have this list as an input but i want to give each alphabet an index
for example k = 1 , i = 2 , s = 3 , s=3 ,a = 4
['k', 'i', 's', 's', 'a']
is there way to use map function effectively in this case
I have tried to use map function but it returns
<map object at 0x00000... | How to index string using map function | I have this list as an input but i want to give each alphabet an index
for example k = 1 , i = 2 , s = 3 , s=3 ,a = 4
['k', 'i', 's', 's', 'a']
is there way to use map function effectively in this case
I have tried to use map function but it returns
<map object at 0x0000015513F6B4C0>
which is not readble even usi... | [
"from collections import defaultdict\n\nl = ['k', 'i', 's', 's', 'a']\n\nc = defaultdict(list)\n\nfor idx, el in enumerate(l):\n c[el].append(idx)\n\nprint(c) # defaultdict(<class 'list'>, {'k': [0], 'i': [1], 's': [2, 3], 'a': [4]})\n\nYou can now get all the indexes of a given element, e.g. c['s'] will return ... | [
2,
1,
0,
0,
0
] | [] | [] | [
"list",
"python",
"python_3.x"
] | stackoverflow_0074206845_list_python_python_3.x.txt |
Q:
Error when importing pyspark.sql.dataframe.DataFrame in python
I installed pyspark in macOS.
Then I get an error when importing pyspark.sql.dataframe.DataFrame as a package.
Import "pyspark.sql.dataframe.DataFrame" could not be resolvedPylancereportMissingImports
What is the reason?
A:
The DataFrame class is be... | Error when importing pyspark.sql.dataframe.DataFrame in python | I installed pyspark in macOS.
Then I get an error when importing pyspark.sql.dataframe.DataFrame as a package.
Import "pyspark.sql.dataframe.DataFrame" could not be resolvedPylancereportMissingImports
What is the reason?
| [
"The DataFrame class is being exported in the sql module, you can just use the following import:\nfrom pyspark.sql import DataFrame\n\n"
] | [
2
] | [] | [] | [
"bigdata",
"pyspark",
"python"
] | stackoverflow_0074205818_bigdata_pyspark_python.txt |
Q:
How to read Avro file in PySpark
I am writing a spark job using python. However, I need to read in a whole bunch of avro files.
This is the closest solution that I have found in Spark's example folder. However, you need to submit this python script using spark-submit. In the command line of spark-submit, you can ... | How to read Avro file in PySpark | I am writing a spark job using python. However, I need to read in a whole bunch of avro files.
This is the closest solution that I have found in Spark's example folder. However, you need to submit this python script using spark-submit. In the command line of spark-submit, you can specify the driver-class, in that case... | [
"Spark >= 2.4.0\nYou can use built-in Avro support. The API is backwards compatible with the spark-avro package, with a few additions (most notably from_avro / to_avro function).\nPlease note that module is not bundled with standard Spark binaries and has to be included using spark.jars.packages or equivalent mecha... | [
16,
7,
2,
0
] | [] | [] | [
"apache_spark",
"avro",
"pyspark",
"python"
] | stackoverflow_0029759893_apache_spark_avro_pyspark_python.txt |
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