pandas.Series.max

Return the maximum of the values for the requested axis.

If you want the index of the maximum, use idxmax. This is the equivalent of the numpy.ndarray method argmax.

param axis

{index (0)}

Axis for the function to be applied on.

param skipna

bool, default True

Exclude NA/null values when computing the result.

param level

int or level name, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.

param numeric_only

bool, default None

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series. **kwargs Additional keyword arguments to be passed to the function.

return

scalar or Series (if level specified)

Limitations

Parameters axis, level and numeric_only are currently unsupported.

Examples

Getting the maximum value of Series elements

import pandas as pd
from numba import njit


@njit
def series_max():
    s = pd.Series([1, 4, 2, 0])
    out_series = s.max()

    return out_series  # Expect maximum value 4


print(series_max())

$ python ./series/series_max.py
4

See also

Series.sum

Return the sum.

Series.min

Return the minimum.

Series.max

Return the maximum.

Series.idxmin

Return the index of the minimum.

Series.idxmax

Return the index of the maximum.