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May 24, 2023
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DOC: Fixing EX01 - Added examples #53370

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9 changes: 0 additions & 9 deletions ci/code_checks.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.errors.PyperclipWindowsException \
pandas.errors.UnsortedIndexError \
pandas.errors.UnsupportedFunctionCall \
pandas.show_versions \
pandas.test \
pandas.NaT \
pandas.Timestamp.as_unit \
Expand Down Expand Up @@ -170,14 +169,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.Period.asfreq \
pandas.Period.now \
pandas.arrays.PeriodArray \
pandas.Int8Dtype \
pandas.Int16Dtype \
pandas.Int32Dtype \
pandas.Int64Dtype \
pandas.UInt8Dtype \
pandas.UInt16Dtype \
pandas.UInt32Dtype \
pandas.UInt64Dtype \
pandas.NA \
pandas.CategoricalDtype.categories \
pandas.CategoricalDtype.ordered \
Expand Down
50 changes: 50 additions & 0 deletions pandas/core/arrays/integer.py
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Expand Up @@ -147,6 +147,56 @@ class IntegerArray(NumericArray):
Methods
-------
None

Examples
--------
For Int8Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.Int8Dtype())
>>> ser.dtype
Int8Dtype()

For Int16Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.Int16Dtype())
>>> ser.dtype
Int16Dtype()

For Int32Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.Int32Dtype())
>>> ser.dtype
Int32Dtype()

For Int64Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.Int64Dtype())
>>> ser.dtype
Int64Dtype()

For UInt8Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.UInt8Dtype())
>>> ser.dtype
UInt8Dtype()

For UInt16Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.UInt16Dtype())
>>> ser.dtype
UInt16Dtype()

For UInt32Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.UInt32Dtype())
>>> ser.dtype
UInt32Dtype()

For UInt64Dtype:

>>> ser = pd.Series([2, pd.NA], dtype=pd.UInt64Dtype())
>>> ser.dtype
UInt64Dtype()
"""

# create the Dtype
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22 changes: 22 additions & 0 deletions pandas/util/_print_versions.py
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Expand Up @@ -114,6 +114,28 @@ def show_versions(as_json: str | bool = False) -> None:
* If str, it will be considered as a path to a file.
Info will be written to that file in JSON format.
* If True, outputs info in JSON format to the console.

Examples
--------
>>> pd.show_versions() # doctest: +SKIP
Your output may look something like this:
INSTALLED VERSIONS
------------------
commit : 37ea63d540fd27274cad6585082c91b1283f963d
python : 3.10.6.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 2.0.1
numpy : 1.24.3
...
"""
sys_info = _get_sys_info()
deps = _get_dependency_info()
Expand Down