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DOC: fix doctests for pandas/core/generic.py for new string dtype #61907

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14 changes: 7 additions & 7 deletions pandas/core/generic.py
Original file line number Diff line number Diff line change
Expand Up @@ -1918,7 +1918,7 @@ def keys(self) -> Index:
b 2 4
c 3 8
>>> d.keys()
Index(['A', 'B'], dtype='object')
Index(['A', 'B'], dtype='str')
"""
return self._info_axis

Expand Down Expand Up @@ -6276,7 +6276,7 @@ def dtypes(self):
float float64
int int64
datetime datetime64[s]
string object
string str
dtype: object
"""
data = self._mgr.get_dtypes()
Expand Down Expand Up @@ -6838,7 +6838,7 @@ def convert_dtypes(
0 a
1 b
2 NaN
dtype: object
dtype: str

Obtain a Series with dtype ``StringDtype``.

Expand Down Expand Up @@ -8138,7 +8138,7 @@ def isna(self) -> Self:
... )
>>> df
age born name toy
0 5.0 NaT Alfred None
0 5.0 NaT Alfred NaN
1 6.0 1939-05-27 Batman Batmobile
2 NaN 1940-04-25 Joker

Expand Down Expand Up @@ -8211,7 +8211,7 @@ def notna(self) -> Self:
... )
>>> df
age born name toy
0 5.0 NaT Alfred None
0 5.0 NaT Alfred NaN
1 6.0 1939-05-27 Batman Batmobile
2 NaN 1940-04-25 Joker

Expand Down Expand Up @@ -10401,7 +10401,7 @@ def truncate(
2 b
3 c
4 d
Name: A, dtype: object
Name: A, dtype: str

The index values in ``truncate`` can be datetimes or string
dates.
Expand Down Expand Up @@ -11804,7 +11804,7 @@ def first_valid_index(self) -> Hashable:
>>> print(df.last_valid_index())
None

If all elements in DataFrame are NA/null, returns None.
If all elements in DataFrame are NA/null, returns NaN.

>>> df = pd.DataFrame()
>>> df
Expand Down
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