bigframes.geopandas.GeoSeries.dropna#

GeoSeries.dropna(*, axis: int = 0, inplace: bool = False, how: str | None = None, ignore_index: bool = False) → Series#

Return a new Series with missing values removed.

Examples:

Drop NA values from a Series:

>>> ser = bpd.Series([1., 2., np.nan])
>>> ser
0     1.0
1     2.0
2    <NA>
dtype: Float64

>>> ser.dropna()
0    1.0
1    2.0
dtype: Float64

Empty strings are not considered NA values. None is considered an NA value.

>>> ser = bpd.Series(['2', pd.NA, '', None, 'I stay'], dtype='object')
>>> ser
0         2
1      <NA>
2
3      <NA>
4    I stay
dtype: string

>>> ser.dropna()
0         2
2
4    I stay
dtype: string

Parameters:

axis (0 or 'index') – Unused. Parameter needed for compatibility with DataFrame.
inplace (bool, default False) – Unsupported, do not set.
how (str, optional) – Not in use. Kept for compatibility.

Returns:

Series with NA entries dropped from it.

Return type:

bigframes.pandas.Series