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Getting frequency counts of values in intervals in Pandas Series
schedule Aug 11, 2023
Last updated local_offer
Tags Python●Pandas
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To get the frequency counts of values that fall under some intervals, first use Pandas' cut(~) method to partition the values into bins (intervals), and then use value_counts(~) to get the corresponding frequency counts.
For instance:
(4, 8] 2(1, 4] 2(8, 10] 1dtype: int64
To break this down, the return value of cut(~) is a Series where each value is assigned the corresponding interval:
Here, (4, 8] represents the interval strictly larger than 4 but less than or equal to 8. The first value 5 (represented by index 0) falls in this interval (4, 8].
Published by Isshin Inada
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