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# Getting frequency counts of values in intervals in Pandas Series

*schedule*Aug 11, 2023

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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

Edited by 0 others

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