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Improve dropna() documentation with examples for how='all' and thresh #62223

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Improve dropna() documentation with examples for how='all' and thresh #62223

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24 changes: 23 additions & 1 deletion pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6655,7 +6655,29 @@ def dropna(
ignore_index: bool = False,
) -> DataFrame | None:
"""
Remove missing values.
Examples
--------
>>> df = pd.DataFrame({
... 'A': [None, None, 3],
... 'B': [None, 2, 3],
... 'C': [None, None, None]
... })
>>> df.dropna(how='all')
A B C
1 NaN 2.0 NaN
2 3.0 3.0 NaN

>>> df = pd.DataFrame({
... 'A': [1, None, None],
... 'B': [None, 2, None],
... 'C': [None, None, 3]
... })
>>> df.dropna(thresh=2)
A B C
0 1.0 NaN NaN
1 NaN 2.0 NaN

Remove missing values.

See the :ref:`User Guide <missing_data>` for more on which values are
considered missing, and how to work with missing data.
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