Unnamed: 0 int64 0 1.91M | id int64 337 73.8M | title stringlengths 10 150 | question stringlengths 21 64.2k | answer stringlengths 19 59.4k | tags stringlengths 5 112 | score int64 -10 17.3k |
|---|---|---|---|---|---|---|
1,909,900 | 67,746,155 | Exception: 'module' object is not iterable | <p>When I am running the code from <a href="https://github.com/ijawpikin/projectHub" rel="nofollow noreferrer">Github project</a>, I am getting this error:</p>
<pre><code>Exception in thread django-main-thread:
Traceback (most recent call last):
File "/data/data/com.termux/files/usr/lib/python3.9/site-packages/d... | <p>I had a look at your <code>urls.py</code> file from your github link</p>
<p>There is a small typo where you have capitalised the <code>urlpatterns</code> object.</p>
<pre class="lang-py prettyprint-override"><code>from django.urls import path
from .views import blogListView
Urlpatterns = [ path(' ', blogListView.as... | python|python-3.x|django|mobile|termux | 1 |
1,909,901 | 30,625,894 | iteratively intersecting line segments in Sympy... is there a better way? | <p>OK. I have the points that comprise the borders of a polygon. I want to (a) use Sympy's geometry module to determine, from all of the possible line-segments between any pair of points, which segments do not cross the perimeter. This result will be the "edges" that are allowed to be used in (b) a shortest_distance an... | <p>I found a solution that sped the process up by about 13x (for a polygon with 35 points (like the data listed above), the old method from the code in the question took about 4hours to find all line segments inside the polygon. This new method took 18 minutes instead.) </p>
<p>Above I was iteratated through the point... | python|geometry|networkx|sympy | 0 |
1,909,902 | 67,089,962 | How to fix freeze_support() error for computing compute Perplexity and Coherence for LDA? | <p>I am going to compute Perplexity and Coherence for my textual data for LDA. I run the following codes</p>
<pre><code># Compute Perplexity
print('\nPerplexity: ', lda_model.log_perplexity(corpus)) # a measure of how good the model is. lower the better.
# Compute Coherence Score
coherence_model_lda = CoherenceModel(m... | <pre><code># Compute Perplexity
print('\nPerplexity: ', lda_model.log_perplexity(corpus)) # a measure of how good the model is. lower the better.
# Compute Coherence Score
if __name__ == '__main__':
coherence_model_lda = CoherenceModel(model=lda_model, texts=data_lemmatized, dictionary=id2word, coherence='c_v')
... | python|spyder|data-mining|lda|topic-modeling | 0 |
1,909,903 | 64,157,450 | How to filter Django objects based on value returned by a method? | <p>I have an Django object with a method <code>get_volume_sum(self)</code> that return a float, and I would like to query the top n objects with the highest value, how can I do that?</p>
<p>For example I could do a loop like this but I would like a more elegant solution.</p>
<pre><code>vol = []
obj = []
for m in Market... | <p>You should not filter with the method, this will result in an <em>N+1</em> problem: for 3'000 <code>Market</code> objects, it will generate an additional 3'0000 queries to obtain the volumes.</p>
<p>You can do this in <em>bulk</em> with a <a href="https://docs.djangoproject.com/en/dev/ref/models/querysets/#annotate"... | python|django | 1 |
1,909,904 | 64,159,164 | CMD color problems | <p>I want to make my python cmd output colorful!
I have color-codes like this:
<code>\033[91m</code></p>
<p>Now the output in cmd isn't colorful. I get a "←". How can I change this?
Did anybody have the same problem? :D</p>
<h1>Edit</h1>
<p>Is there an alternative to cmd? Is it hard to programm a cmd window i... | <p>You need to add just two more lines at the beginning of your script.</p>
<pre><code>import os
os.system("")
</code></pre> | python | 1 |
1,909,905 | 72,340,956 | How to check differences between column values in pandas? | <p>I'm manually comparing two or three rows very similar using pandas. Is there a more automated way to do this? I would like a better method than using '=='.</p> | <p><a href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.diff.html" rel="nofollow noreferrer">https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.diff.html</a></p>
<p>See if this will satisfy your needs.</p>
<pre><code>df['sales_diff'] = df['sales'].diff()
</code></pre>
<p>The above code snip... | python|pandas|cell | 0 |
1,909,906 | 65,520,557 | fish: Unknown command: pip | <p>today I am trying Garuda KDE Dr460nized and I am running python on it. But when I use pip for installing packages I open my Konsole and, an error comes like this</p>
<pre><code>fish: Unknown command: pip
</code></pre>
<p>I thought I should write pip3 instead of pip but still, the same error comes</p>
<pre><code>fish... | <p>I think I have answered my question
I have to add:</p>
<pre><code>python -m pip install packageName
</code></pre>
<p>It solved my error. If anyone can't solve their error you can see this answer.</p> | python|linux|pip|konsole | 1 |
1,909,907 | 50,345,862 | django detect user login in another tab | <p>Is there anyway in django that if user has two open tabs, both logged out, then logs in in one tab, tell that he has logged in in another tab? I mean something like github that tells you you have signed in, please refresh the page.</p>
<p>The problem is now If I login in one tab and then in the second tab, I get <c... | <p>You get <code>csrf token missing incorrect.</code> because when user relogins, the server generates a new csrf token to the cookie. The cookie persists across the same domain. And when you're trying to do smth on the current page, the request fails because csrf in your <code><form></code> differs from the cook... | python|django|csrf|django-csrf | 1 |
1,909,908 | 50,370,411 | Regex to find five consecutive consonants | <p>I need a regex for python that finds words with five consecutive consonants. </p>
<p>These words would work - </p>
<pre><code>tnortvcvni (rtvcvn)
kahjdflka (hjdflk)
</code></pre>
<p>But these words wouldn't (no five letters in row without vowels) - </p>
<pre><code>peanut
butter
jelly
</code></pre> | <p>It seems you don't mean a fixed length of 5 characters but a minimum:</p>
<pre><code>(?:(?![aeiou])[a-z]){5,}
</code></pre>
<p><a href="https://regex101.com/r/SW5Wdt/1" rel="nofollow noreferrer">Live demo</a></p>
<p>Note: set <code>i</code> flag if it exists.</p> | python|regex | 4 |
1,909,909 | 50,614,223 | Python Regex Match failed | <p>This passed on <a href="https://regex101.com/" rel="nofollow noreferrer">https://regex101.com/</a> without any issues. Did I miss anything? The entire string is in one line.</p>
<pre><code>def get_title_and_content(html):
html = """<!DOCTYPE html> <html> <head> <title>Chang... | <p>In a summary of the comments:</p>
<p><code>title_pattern.search(html)</code> Should be used instead of <code>title_pattern.match(html)</code></p>
<p>As the search function will search anywhere in the provided string instead of just from the beginning. <code>match = title_pattern.findall(html)</code> could be used ... | python|regex | 0 |
1,909,910 | 35,233,707 | Checking ISBN numbers | <p>This is my code:</p>
<pre><code>def isISBN(n):
if len(n)!= 10:
return False
else:
d1=int(n[0])*1
d2=int(n[1])*2
d3=int(n[2])*3
d4=int(n[3])*4
d5=int(n[4])*5
d6=int(n[5])*6
d7=int(n[6])*7
d8=int(n[7])*8
d9=int(n[8])*9
d10=(d1... | <p>Don't forget the 10th value and check for modulo equivalence to 0:</p>
<pre><code>def isISBN(n):
if len(n)!= 10:
return False
else:
d1=int(n[0])*1
d2=int(n[1])*2
d3=int(n[2])*3
d4=int(n[3])*4
d5=int(n[4])*5
d6=int(n[5])*6
d7=int(n[6])*7
... | python | 2 |
1,909,911 | 26,867,730 | How do you set a variable number of regex expressions? | <p>Currently I have <code>out = re.sub(r'[0-9][0-9][0-9]', '', input)</code>. I would like to have a variable number of <code>[0-9]</code>'s.</p>
<p>So far I have;</p>
<pre><code>string = ''
for i in xrange(numlen):
string = string + '[0-9]'
string = 'r' + string
out = re.sub(string, '', input)
</code></pre>
<p... | <p>You can specify repetition using <code>{}</code>, for example 3 digits would be</p>
<pre><code>[0-9]{3}
</code></pre>
<p>So you can do something like</p>
<pre><code>reps = 5 # or whatever value you'd like
out = re.sub('[0-9]{{{}}}'.format(reps), '', input)
</code></pre>
<p>Or if you don't know how many digits th... | python|regex | 3 |
1,909,912 | 56,691,957 | why is this code removing the file instead of renaming it? | <p>I want to rename report.json but it is removing the file instead </p>
<pre><code>import os
from pathlib import Path
import json
path =Path( r'C:\Users\Sajid\Desktop\cuckoo (3)\cuckoo\storage\analyses\3\reports')
filename = os.path.join(path,"report.json")
with open(filename) as json_file:
data=json.load(json... | <p>It's probably not deleting it, but moving it to your working directory (so if you launched your script from <code>C:\Users\Sajid</code>, the file would be there, not in <code>C:\Users\Sajid\Desktop\cuckoo (3)\cuckoo\storage\analyses\3\reports</code>). <strong>Edit:</strong> Based on <a href="https://stackoverflow.co... | python | 0 |
1,909,913 | 56,710,475 | How to download GeoTiff files from GeoServer using Python | <p>I am trying to download GeoTiff files from GeoServer using Python. I have a found a few resources online about this type of thing, but I have been unable to accomplish this task.</p>
<p>For example, here: <a href="https://gis.stackexchange.com/questions/181560/download-geotiff-from-geoserver">https://gis.stackexcha... | <p>As the answer to your <a href="https://gis.stackexchange.com/questions/181560/download-geotiff-from-geoserver">linked question</a> says you need to make a <a href="https://www.opengeospatial.org/standards/wcs" rel="nofollow noreferrer">WCS request</a> to GeoServer to fetch a GeoTiff. </p>
<p>The <a href="https://do... | python|tiff|geoserver|wcs | 0 |
1,909,914 | 61,273,511 | Cumulative sum in pyspark | <p>I am trying to compute the cumulative sum per class. Code is working fine by using sum(df.value).over(Window.partitionBy('class').orderBy('time'))</p>
<pre><code>df = sqlContext.createDataFrame( [(1,10,"a"),(3,2,"a"),(1,2,"b"),(2,5,"a"),(2,1,"b"),(9,0,"b"),(4,1,"b"),(7,8,"a"),(3,8,"b"),(2,5,"a"),(0,0,"a"),(4,3,"a")... | <p>Adding to <em><code>@pault</code></em>'s comment, I would suggest a <strong><code>row_number()</code></strong> calculation based on <strong><code>orderBy('time', 'value')</code></strong> and then use that column in the <strong><code>orderBy</code></strong> of another window(<strong><code>w2</code></strong>) to get y... | python|dataframe|pyspark | 3 |
1,909,915 | 60,673,168 | Weird linear regression learning curve | <p>I'm trying to build a prediction model for apartments price. I use python scikit-learn toolset. I'm using a dataset having total floor area and location of the apartment, which I have converted to dummy features. So the dataset looks like this:
<a href="https://i.stack.imgur.com/OmGL2.png" rel="nofollow noreferrer">... | <p>My explanation have 3 steps: The data preparation, feature extraction, and model selection.</p>
<p><strong>Data preparation:</strong></p>
<ul>
<li>In this dataset there are lots of Categorical and Ordinal values. If
the column has several non related categories it's ok to one-hot it.
but if the column has categori... | python|scikit-learn|linear-regression | 0 |
1,909,916 | 71,648,462 | Find most common words from list of strings | <p>We have a given list:</p>
<pre><code>list_of_versions = ['apple II' ,'apple', 'apple 1' , 'HD APPLE','apple 3.5', 'adventures of apple' , 'apple III','orange 2' ,'300mhz apple', '300-orange II' , 'orange II HD' , 'orange II tvx', 'orange 2' , 'HD berry-vol 2', 'berry II', 'berry 2', 'berry VI', 'berry 1', 'berry II... | <p>All the other answers omit the entry containing the word "adventures" because it throws off the search. You need a heuristic that can combine "longest" with "most frequent".</p>
<p>One thing that helps is that finding the longest word in each row greatly increases SNR. In other words, i... | python|arrays|pandas|string|list | 3 |
1,909,917 | 55,245,535 | Python: Google-Maps-API sends unknown format to parse | <p>I use the <a href="https://github.com/googlemaps/google-maps-services-python" rel="nofollow noreferrer">Python Client for Google Maps Services</a> to get following data from google-maps:</p>
<pre><code>{
'address_components':[
{
'long_name':'20',
'short_name':'20',
'types':... | <p>The answer is: <a href="https://docs.python.org/3/tutorial/datastructures.html#list-comprehensions" rel="nofollow noreferrer">List comprehensions</a></p>
<pre><code>try:
# make a list of all address components that have type "street number"
comp = [c for c in place_result_2["address_components"] if "street_... | python|google-maps|parsing|google-api|extract | 1 |
1,909,918 | 57,382,770 | Why using "--requirements_file" uploads dependencies onto GCS? | <p>I'm currently generating a template with those parameters:</p>
<pre><code> --runner DataflowRunner \
--requirements_file requirements.txt \
--project ${GOOGLE_PROJECT_ID} \
--output ${GENERATED_FILES_PATH}/staging \
--staging_location=${GENERATED_FILES_PATH}/staging \
... | <p>I believe this is done to make the Dataflow worker startup process more efficient and consistent (both initially and when auto-scaling). Without this, each time a Dataflow worker starts up, that worker has to directly connect to PyPI to find the latest matching versions of dependencies. Instead of this, set of depen... | python|google-cloud-dataflow|apache-beam|dataflow | 1 |
1,909,919 | 57,423,482 | Got only first row in table when using Selenium scraping (Python) | <p>I'm trying to scrape the whole table from: <a href="https://free-proxy-list.net/" rel="nofollow noreferrer">https://free-proxy-list.net/</a> </p>
<p>And I managed to scrape it but it resulted in only the first row of the table instead of 20 rows. </p>
<p>I saw previous similar questions that were answered and I ha... | <p>I think your problem is in this line :</p>
<pre><code>col = bod.find_elements_by_xpath("//*[@id='proxylisttable']/tbody/tr")
</code></pre>
<p>The correct syntax is :</p>
<pre><code>col = bod.find_elements_by_xpath("//*[@id='proxylisttable']/tbody/tr[insert count here]")
</code></pre>
<p>Like this :</p>
<pre><co... | python-3.x|selenium|xpath | 2 |
1,909,920 | 53,979,127 | How to concatenate part of three layers in Keras? | <p>I can use <code>keras.layers.concatenate</code> to concatenate two layers then send them to next layer, but if I want to take part of two layers then concatenate them and then send them to next layer, what should I do?</p>
<p>For example, I want to take part of first conv layer and part of the second conv layer and... | <p>Well, you can slice them as you want, like the way you would slice a numpy array or a Python list, and use <code>K.concatenate</code>, all in a <code>Lambda</code> layer. For example:</p>
<pre><code>from keras import backend as K
# ...
out = Lambda(lambda x: K.concatenate([x[0][:,:10],
... | python|tensorflow|keras|deep-learning|nlp | 2 |
1,909,921 | 53,864,160 | Can we run tensorflow lite on linux ? Or it is for android and ios only | <p>Hi is there any possibility to run tensorflow lite on linux platform? If yes, then how we can write code in java/C++/python to load and run models on linux platform? I am familiar with bazel and successfully made Android and ios application using tensorflow lite.</p> | <p>I think the other answers are quite wrong.</p>
<p>Look, I'll tell you my experience... I've been working with Django for many years, and I've been using normal tensorflow, but there was a problem with having 4 or 5 or more models in the same project.
I don't know if you know Gunicorn + Nginx. This generates workers... | linux|tensorflow-lite | 5 |
1,909,922 | 53,992,840 | Don't understand these ModuleNotFound errors | <p>I am a beginner and learning Python. I have setup the environment with SublimeText and Python3.x</p>
<p>I am fine in creating code on Sublime and building it locally through Ctrl+B and for <code>input()</code> function I installed SublimeREPL and it works find up till now.</p>
<p>The issue I am facing is on Python... | <p>The initial Python download includes a number of libraries, but there are many, many more that must be downloaded and installed separately. Tweepy is among those libraries.</p>
<p>You can find, and download, tweepy from here:</p>
<p><a href="https://pypi.org/project/tweepy/" rel="nofollow noreferrer">https://pyp... | python|python-3.x|error-handling|compiler-errors | 1 |
1,909,923 | 58,520,608 | How to group rows, count in one column and do the sum in the other? | <p>I want to group rows of a csv file, count in one column and add in the other.</p>
<p>For example with the following I would like to group the lines on the <code>Commune</code> to make columns of the <code>winner</code> with the count and a column <code>Swing</code> with the sum</p>
<pre><code>Commune Winner Swing ... | <p>Use <a href="http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.crosstab.html" rel="nofollow noreferrer"><code>crosstab</code></a> and add new column with <a href="http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.join.html" rel="nofollow noreferrer"><code>DataFrame.join</code>... | python|python-3.x|pandas|pandas-groupby | 3 |
1,909,924 | 65,470,708 | Best way to fill NULL values with conditions using Pandas? | <p>So for example I have a data looks like this:</p>
<pre><code>df = pd.DataFrame([[np.NaN, '1-5'], [np.NaN, '26-100'], ['Yes', 'More than 1000'], ['No', '26-100'], ['Yes', '1-5']], columns=['self_employed', 'no_employees'])
df
self_employed no_employees
0 nan 1-5
1 nan 26-10... | <p>Use <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html" rel="nofollow noreferrer">fillna</a> is the right way to go, but instead you could do:</p>
<pre><code>values = df['no_employees'].eq('1-5').map({False: 'No', True: 'Yes'})
df['self_employed'] = df['self_employed'].f... | python|pandas|dataframe | 3 |
1,909,925 | 45,300,037 | Cannot upload large file to Google Cloud Storage | <p>It is okay when dealing with small files. It doesn't work only when I try to upload large files. I'm using Python client. The snippet is:</p>
<pre><code>filename='my_csv.csv'
storage_client = storage.Client()
bucket_name = os.environ["GOOGLE_STORAGE_BUCKET"]
bucket = storage_client.get_bucket(bucket_name)
blob = bu... | <p><code>upload_by_filename</code> attempts to upload the entire file in a single request.</p>
<p>You can use <code>Blob.chunk_size</code> to spread the upload across many requests, each responsible for uploading one "chunk" of your file.</p>
<p>For example:</p>
<p><code>my_blob.chunk_size = 1024 * 1024 * 10</code><... | python|google-cloud-platform|google-cloud-storage | 3 |
1,909,926 | 45,437,620 | Python Requests Proxy Error | <p>So when i try to use proxy on python requests , the actual requests send is using my own ip </p>
<pre>
http_proxy = "https://103.235.21.128:80"
proxyDict = {
"http" : http_proxy,
}
r = requests.get('http://whatismyip.org',proxies=proxyDict)
print r.content
</pre>
<p>Also Tried </p>
... | <p>Have you tried setting http on the proxy like this?</p>
<pre><code>http_proxy = "http://103.235.21.128:80"
</code></pre>
<p>or</p>
<pre><code>http_proxy = "http://{}:{}".format('103.235.21.128', 80)
</code></pre>
<p>If that doesn't work you might have to find an http proxy</p>
<p>If you're requesting data from... | python|proxy | 0 |
1,909,927 | 45,534,755 | how to prioritize default mac python environment over miniconda | <p>I installed miniconda for some software I need to run. It worked great, but it made all of the other web related stuff I have set up through mac's default python environment stop working. What I would like to have is the mac python environment as the default and conda only when I need to run this specific software. ... | <p>Have you considered using Python's <a href="http://python-guide-pt-br.readthedocs.io/en/latest/dev/virtualenvs/" rel="nofollow noreferrer">Virtual env</a>? </p>
<p>This allows you to have a completely separate Python installations without causing conflicts with your main python in your path. This sounds ideal for y... | python|bash|macos|conda|miniconda | 1 |
1,909,928 | 28,525,320 | Unreadable encoding of a SMB/Browser packet in Scapy | <p>I'm trying to parse a pcap file with scapy (in python), and getting raw data at the layer above TCP.
on wireshark, all the layers are shown correctly:
<img src="https://i.stack.imgur.com/OJOKd.png" alt="wireshark"></p>
<p>but on scapy all i'm seeing is just a Raw layer...
<img src="https://i.stack.imgur.com/K2PuH.p... | <p>If someone has a similar problem…
You need something like
<code>packet[TCP].decode_payload_as(NBTSession)</code></p>
<p>And then you Will get the decoded layers by scapy:</p>
<pre><code> packet[TCP].show()
[ TCP ]
sport = microsoft_ds
</code></pre>
<p>…</p>
<pre><code> options = []
[ NBT Session Packet ... | python|packet|scapy|smb|netbios | 0 |
1,909,929 | 14,856,033 | Regex - Using * with a set of characters | <p>I'm fairly new at regex, and I've run into a problem that I cannot figure out:</p>
<p>I am trying to match a set of characters that start with an arbitrary number of A-Z, 0-9, and _ characters that can optionally be followed by a number enclosed in a single set of parentheses and can be separated from the original ... | <p>Your regex says that each paren (open & closed) may or may not be there, INDEPENDENTLY. Instead, you should say that the number-enclosed-in-parens may or may not be there:</p>
<pre><code>(\([\d]*\)){0,1}
</code></pre>
<p>Note that this allows for there to be nothing in the parens; that's what your regex said,... | python|regex | 1 |
1,909,930 | 14,868,003 | Crawling a page using LazyLoader with Python BeautifulSoup | <p>I am toying around with BeautifulSoup and I like it so far. </p>
<p>The problem is the site I am trying to scrap has a lazyloader... And it only scraps one part of the site. </p>
<p>Can I have a hint as to how to proceed? Must I look at how the lazyloader is implemented and parametrize anything else?</p> | <p>It turns out that the problem itself wasn't BeautifulSoup, but the dynamics of the page itself. For this specific scenario that is. </p>
<p>The page returns part of the page, so headers need to be analysed and sent to the server accordingly. This isn't a BeautifulSoup problem itself. </p>
<p>Therefore, it is impor... | python|python-2.7|lazy-loading|beautifulsoup | 1 |
1,909,931 | 68,687,059 | How can I optimize a plotly graph with updatemenues? | <p>So, I have been using plotly a lot and recently came to use the updatemenus method for adding buttons. I've created several graphs with it, but I find it difficult to find an efficient method to update the args section in updatemenus sections. I have a data frame that is bigger than the example but it’s the same ide... | <ul>
<li>data frame creation can be simplified. Using <strong>pandas</strong> constructor capability with <strong>list</strong> comprehensions</li>
<li>figure / traces creation is far simpler with <strong>plotly express</strong></li>
<li>core question - dynamically create visible lists
<ul>
<li>the trace is visible if... | python|pandas|dataframe|graph|plotly | 1 |
1,909,932 | 57,024,192 | How to perform arithmetic with large floating numbers in python | <p>I have two numbers a and b:
a = 1562239482.739072
b = 1562239482.739071</p>
<p>If I perform a-b in python, I get 1.1920928955078125e-06. However, I want 0.000001, which is the right answer after subtraction. </p>
<p>Any help would be appreciated. Thank you in advance. </p>
<pre><code>t = float(1562239482.739071)
... | <p>This is common problem with floating point arithmetic. Use the <a href="https://docs.python.org/3/library/decimal.html" rel="nofollow noreferrer"><code>decimal</code></a> module</p> | python|python-3.x|python-2.7|precision|floating-accuracy | -1 |
1,909,933 | 61,944,707 | How to use __setitem__ properly? | <p>I want to make a data object:</p>
<pre><code>class GameData:
def __init__(self, data={}):
self.data = data
def __getitem__(self, item):
return self.data[item]
def __setitem__(self, key, value):
self.data[key] = value
def __getattr__(self, item):
return self.data[item]
def __setattr__(se... | <p>In the assignment <code>self.data = data</code>, <code>__setattr__</code> is called because <code>self</code> has no attribute called <code>data</code> at the moment. <code>__setattr__</code> then calls <code>__getattr__</code> to obtain the non-existing attribute <code>data</code>. <code>__getattr__</code> itself c... | python|setattr | 2 |
1,909,934 | 24,327,410 | Python mysql.connector timeout | <p>Here's a simple connection to a MySQL database using the mysql.connector module.</p>
<pre><code>db = mysql.connector.connect(
host=DB_SERVER,
port=DB_PORT,
user=DB_UNAME,
passwd=DB_PASSWORD,
db=DB_NAME)
db.connect()
mysqlCursor.execute(query)
</code></pre>
<p>I want to control two different tim... | <p>As of MySQL 5.7.8 a <a href="https://dev.mysql.com/doc/refman/5.7/en/server-system-variables.html#sysvar_max_execution_time" rel="nofollow noreferrer">maximum execution time for just SELECT statements</a> can be set per session. Set this immediately after connecting:</p>
<pre><code>db = mysql.connector.connect(...... | python|mysql | 4 |
1,909,935 | 20,526,414 | Relative Strength Index in python pandas | <p>I am new to pandas. What is the best way to calculate the relative strength part in the RSI indicator in pandas? So far I got the following:</p>
<pre><code>from pylab import *
import pandas as pd
import numpy as np
def Datapull(Stock):
try:
df = (pd.io.data.DataReader(Stock,'yahoo',start='01/01/2010'... | <p>It is important to note that there are various ways of defining the RSI. It is commonly defined in at least two ways: using a simple moving average (SMA) as above, or using an exponential moving average (EMA). Here's a code snippet that calculates various definitions of RSI and plots them for comparison. I'm discard... | python|pandas|finance | 74 |
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