pandas.Series.min¶

Return the minimum of the values for the requested axis.

If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin.

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 level, numeric_only and axis are currently unsupported by Intel Scalable Dataframe Compiler.

Examples¶

Getting the minimum value of Series elements¶

import numpy as np
import pandas as pd
from numba import njit


@njit
def series_min():
    series = pd.Series([4, np.nan, 2, 1])

    return series.min()  # Expect minimum value 1.0


print(series_min())

$ python ./series/series_min.py
1.0

Navigation

pandas.Series.min¶

Limitations¶

Examples¶