hipdf.Series.dropna

21 min read time

Applies to Linux

Series.dropna(axis=0, inplace=False, how=None)

Return a Series with null values removed.

Parameters

axis{0 or ‘index’}, default 0

There is only one axis to drop values from.

inplacebool, default False

If True, do operation inplace and return None.

howstr, optional

Not in use. Kept for compatibility.

Returns

Series

Series with null entries dropped from it.

See Also

Series.isna : Indicate null values.

Series.notna : Indicate non-null values.

Series.fillna : Replace null values.

cudf.DataFrame.dropnaDrop rows or columns which

contain null values.

cudf.Index.dropna : Drop null indices.

Examples

>>> import cudf
>>> ser = cudf.Series([1, 2, None])
>>> ser
0       1
1       2
2    <NA>
dtype: int64

Drop null values from a Series.

>>> ser.dropna()
0    1
1    2
dtype: int64

Keep the Series with valid entries in the same variable.

>>> ser.dropna(inplace=True)
>>> ser
0    1
1    2
dtype: int64

Empty strings are not considered null values. None is considered a null value.

>>> ser = cudf.Series(['', None, 'abc'])
>>> ser
0
1    <NA>
2     abc
dtype: object
>>> ser.dropna()
0
2    abc
dtype: object