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This article mainly introduces how to use Cumsum in pandas, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

Cumsum

Cumsum is the cumulative function of pandas, which is used to find the cumulative value of a column.

Usage:

DataFrame.cumsum (axis=None, skipna=True, args, kwargs)

Parameter function:

The name of axis:index or axis

Skipna: excluding NA/ null values

Take the previous df as an example, group has groups A, B, and C, and year has multiple years. We only know the values of value_1 and value_2 for the current year. Now we can use the cumsum function to calculate the cumulative values under the group grouping, such as those before An and 2014.

Of course, only using the cumsum function can not distinguish groups (A, B, C), so we need to combine the grouping function groupby to accumulate the values of (A, B, C) respectively.

Df ['cumsum_2'] = df [[' value_2','group']] .groupby ('group') .cumsum () df

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