pandas.core.window.Rolling.max

Calculate the rolling maximum.

*args, **kwargs Arguments and keyword arguments to be passed into func.

return

Series or DataFrame Return type is determined by the caller.

Examples

Calculate the rolling maximum.

import pandas as pd
from numba import njit


@njit
def series_rolling_max():
    series = pd.Series([4, 3, 5, 2, 6])  # Series of 4, 3, 5, 2, 6
    out_series = series.rolling(3).max()

    return out_series  # Expect series of NaN, NaN, 5.0, 5.0, 6.0


print(series_rolling_max())

$ python ./series/rolling/series_rolling_max.py
0    NaN
1    NaN
2    5.0
3    5.0
4    6.0
dtype: float64

Calculate the rolling maximum.

import pandas as pd
from numba import njit


@njit
def df_rolling_max():
    df = pd.DataFrame({'A': [4, 3, 5, 2, 6], 'B': [-4, -3, -5, -2, -6]})
    out_df = df.rolling(3).max()

    # Expect DataFrame of
    # {'A': [NaN, NaN, 5.0, 5.0, 6.0], 'B': [NaN, NaN, -3.0, -2.0, -2.0]}
    return out_df


print(df_rolling_max())

$ python ./dataframe/rolling/dataframe_rolling_max.py
     A    B
0  NaN  NaN
1  NaN  NaN
2  5.0 -3.0
3  5.0 -2.0
4  6.0 -2.0

See also

Series.rolling

Calling object with a Series.

DataFrame.rolling

Calling object with a DataFrame.

Series.max

Similar method for Series.

DataFrame.max

Similar method for DataFrame.