Pandas.DataFrame.cummax() Function with Example | 2019
Syntax: DataFrame.cummax (axis=None, skipna=True, *args, **kwargs)
This function return cumulative maximum over a DataFrame or Series axis.
Parameters:
axis : {0 or ‘index’, 1 or ‘columns’}, default 0
The index or the name of the axis. 0 is equivalent to None or ‘index’.
skipna : boolean, default True
Exclude NA/null values. If an entire row/column is NA, the result will be NA.
*args, **kwargs :
Additional keywords have no effect but might be accepted for compatibility with NumPy.
Returns:
cummax : Series or DataFrame
import numpy as np
import pandas as pd
df = pd.DataFrame({'A': [3,5, 2], 'B': [4, 6, 8], 'C':[9,10,11]})
print(df.cummax())
print("with axis =1\n",df.cummax(axis=1))
Output:
A B C 0 3 4 9 1 5 6 10 2 5 8 11 with axis =1 A B C 0 3 4 9 1 5 6 10 2 2 8 11