Basically, I have the columns
intensity which I have grouped by date this way:
intensity = dataframe_scraped.groupby(["date","intensity"]).count()['sentiment']
which yielded the following results:
date intensity 2021-01 negative 33 neutral 72 positive 44 strong_negative 24 strong_positive 22 .. 2022-05 positive 13 strong_negative 20 strong_positive 16 weak_negative 12 weak_positive 18
I want to calculate the percentages of these numerical values by date in order to bar-plot it later. Any ideas on how to achieve this?
I’ve tried something naïve along the lines of:
100 * dataframe_scraped.groupby(["date","intensity"]).count()['sentiment'] / dataframe_scraped.groupby(["date","intensity"]).count()['sentiment'].transform('sum')
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