I want to create a PySimpleGui table where multiple rows can be selected just using the mouse (for an app in python3). The pysimplegui table allows to select various rows by means of Ctrl and Shift as usual, but i need to do this only by clicking at the rows. I have tried to do it by inserting a checkbox
Finding words within paragraph using Python [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 2 years ago. Improve this question Let say I have the following words, Test_wrds = [‘she’, ‘her’,’women’] that I would like to see whether any one
Pandas split group into first and last values
I have multiple dataframes with a structure that starts with 10 and then goes from 0 to 10: So far I’ve been using this code to group the dataframe by type: It works fine for types 0-9, but I’d also like to split type 10 into 2 groups to distinguish first and last values instead of having it all in
Extract parameterized data from string using python from AWS Lambda EVENT
This is the raw string I need to fetch value in DICT format, like I am unable to extract data as i wanted… i need suggestion how to extract data from the string? N.B: here string like “276035280975268320779229” changes every time i send request. Answer Here is an option using re.findall: This prints:
Drop duplicated rows based on multiple columns if other column(s) is NaNs in Pandas
Given a test dataset as follows: I would like to drop duplicated rows based on city and district, then drop rows if its quantity is NaN, but if city and district are not duplicated, then even if quantity is NaN, it’s not necessary to drop rows. Code based on link from here: Out: But I want to keep the last
Too many indices for array | python
I’m trying to copy arrays to a pandas Dataframe and get the error “too many indices for array”. The error occurs in these lines: pr_daily and rad_daily are numpy arrays of of the same length. Traceback (most recent call last): File “C:Users…Downloadspython_scriptspv.py”, line 277, in finalDataframe[f’pr_{a_id[index]}’] = (pr_daily[:,index]) IndexError: too many indices for array Answer This error is thrown when
Is there a MatLab equivalent of Python matplotlib’s tight_layout()?
I find the amount of whitespace around plots in both normal Python Matplotlib and Matlab quite annoying, specifically the left and right margins that make your plot look tiny when inserting the saved (landscape) figure into a standard (portrait) .doc or .pdf file. Fortunately Python Matplotlib has the “tight_layout()” functionality that takes care of this beautifully. Does Matlab have a
Converting datetime only to time in pandas
I would like to ask a question regarding converting datetime only to time. I have values ‘Date Created” that include Dates and Times in one column and I would like to create two columns: one with only Date and one with Time. I wrote a code but in Time column I got a default date of 1900-01-01 along with time.
Process a lot of data without waiting for a chunk to finish
I am confused with map, imap, apply_async, apply, Process etc from the multiprocessing python package. What I would like to do: I have 100 simulation script files that need to be run through a simulation program. I would like python to run as many as it can in parallel, then as soon as one is finished, grab a new script
Using pct_change on grouped multiindex dataframe with a datestamp
I have a following dataframe df: And I want to know percentage change of users per datestamp device country columns. I tried: But it ignores the grouping and checks it simply row by row. Desired result would look like this: Answer It looks like you want the percent change for each device / country combination. And the change reflects year