Count the number of identical values in a DataFrame Python
I have a dataframe with two columns: hash and results.
Remove duplicate rows in DataFrame based on one column containing a substring
I have a dataframe like the following:
Pandas new column from groupby averages, but group can’t be from complete dataframe
I have a similar problem to this <stackoverflow.com/questions/70824278/pandas-how-to-find-mean-of-a-column-based-on-duplicate-rows-in-another-column> , but my df column that should be used for the groupby has duplicated values that must be treated separately. Here’s an example: