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I have schools and classes to analyze % of students succeed exams. If I do so the output is series of multi indexes. But I need a dataframe from this as an output.

df.groupby(["school","class"]).passed_or_not.value_counts(normalize=True)*100
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  • so need .reset_index() ? Commented Jun 10, 2022 at 9:58
  • where on this current code? Commented Jun 10, 2022 at 10:00
  • to end of your code. Commented Jun 10, 2022 at 10:00

1 Answer 1

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df.groupby(["school", "class"]).passed_or_not.value_counts(normalize=True)*100.reset_index(name='share')
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