pandas cumsum

pandas cumsum() is a function used to calculate the cumulative sum of a given data frame or series. It returns a new data frame or series where each element is the sum of all the previous elements in the data frame or series. The cumsum() function is applied on a one-dimensional data frame or series.

Syntax:

pandas.Series.cumsum(axis=None, skipna=True, *args, **kwargs)

Parameters:

axis: It is used to specify the axis along which the function needs to be applied. By default, it is None.

skipna: It is used to specify whether to exclude NaN values while performing the cumsum operation. By default, it is True.

Returns:

The cumsum() function returns a new data frame or series containing the cumulative sum of the input data frame or series.

Example:

import pandas as pd

data = [10, 20, 30, 40, 50]
df = pd.Series(data)

cumulative_sum = df.cumsum()
print(cumulative_sum)

Output:

0 10
1 30
2 60
3 100
4 150
dtype: int64