I have a Python Project that has a bunch of dependencies (in my VirtualEnv). I need to run my project in my school computer for Demonstration. My School computer does not have python installed, and lets assume also wont have an Internet connection to install it. I have written the program in Windows 10, and the school computer runs Windows
Tag: python-3.x
Module object is not callable when using defaultdict package not working in PyCharm [closed]
Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers. Closed 1 year ago. Improve this question
screen scrape text values from span based on other text values from corresponding span with beautiful soup
I have some beautiful soup code, like the example code below. I’m using it to screen scrape financial data from yahoo finance about mutual funds. In this piece of code I’m trying to scrape the “Bond Ratings” percentages, and save them in a dictionary. I’ve been trying to select element values based on the span class=”Fl(end)”, but I’m finding that
How to use .join() and .format() together in python
I am trying to use .join() and .format() together in the same loop, but unable to do so. Sample Data: Filtering out phone number as below: I want to format the phone number in the below format, can anyone suggest me how to pass the below format: Getting output as: tel:123.456.7890 But I want the output as: 123 456 7890
convert list of tuples into single column of pandas dataframe?
I have a list of tuple like this : I want to make data frame out this but just one column: Currently using this but then I have to join them again so operation cost is increased. Thank you for your help Answer Convert list of tuples to Series: For DataFrame add Series.to_frame:
Revert time averaged values to instant values with numpy
I am having a 3D field of an averaged quantity. Now I am looking for a pythonic way to revert the averaging to get instantaneous values for each time stamp. Note: The averaging is made from the beginning of the whole period. It is like rolling mean with the window size adapted to the index of the value to be
Groupby with multiindex replacement
For a given date, how can I replace missing UK values with the US value? Need in general code. Expected Output Answer You can select by lists for avoid remove MultiIndex and for correct align is used rename: Or reshape by DataFrame.unstack, replace by rows and reshape back: EDIT: If want use solution only of all NaNs solution is test
Is there a way to find a value in a dictionary if the key has multiple values?
So for example: How would I look for valuee in the dictionary a? I have looked at other articles but most are unhelpful so I thought to turn to this website. Are there any other details I need to add to this post? Answer Your question would be likelier to get helpful answers if you took the trouble to post
scraping table from a website result as empty
I am trying to scrape the main table with tag : from following website using ‘BeautifulSoup’ library, but the code returns empty [] while printing soup returns html string and request status is 200. I found out that when i use browser ‘inspect element’ tool i can see the table tag but in “view page source” the table tag which
If statement recognising comparison as false when it is quite obviously true
I am currently forcing some errors using serial to test I am reading them correctly. I am receiving at least one error message each time that is within errorHandling. But for some reason, the if statement isn’t recognising the error code as being in the errorHandling list. What am I missing? printing to console shows me this Answer As stated