pandas.Series.dropna

Return a new Series with missing values removed.

See the User Guide for more on which values are considered missing, and how to work with missing data.

param axis
{0 or ‘index’}, default 0

There is only one axis to drop values from.

param inplace
bool, default False

If True, do operation inplace and return None. **kwargs Not in use.

return

Series Series with NA entries dropped from it.

Limitations

  • Parameter inplace is currently unsupported by Intel Scalable Dataframe Compiler

Examples

Return a new Series with missing values removed.
import numpy as np
import pandas as pd
from numba import njit


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

    return s.dropna()


print(series_dropna())

$ python ./series/series_dropna.py
0    4.0
2    2.0
3    1.0
dtype: float64

See also

Series.isna

Indicate missing values.

Series.notna

Indicate existing (non-missing) values.

Series.fillna

Replace missing values.

DataFrame.dropna

Drop rows or columns which contain NA values.

pandas.absolute

Return Index without NA/NaN values