DOC: Fixing EX01 - Added examples

ci/code_checks.sh

@@ -105,17 +105,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.errors.UnsupportedFunctionCall \
         pandas.test \
         pandas.NaT \
-        pandas.SparseDtype \
-        pandas.DatetimeTZDtype.unit \
-        pandas.DatetimeTZDtype.tz \
-        pandas.PeriodDtype.freq \
-        pandas.IntervalDtype.subtype \
-        pandas_dtype \
-        pandas.api.types.is_bool \
-        pandas.api.types.is_complex \
-        pandas.api.types.is_float \
-        pandas.api.types.is_integer \
-        pandas.api.types.pandas_dtype \
         pandas.read_clipboard \
         pandas.ExcelFile \
         pandas.ExcelFile.parse \

pandas/_libs/lib.pyx

@@ -1056,6 +1056,14 @@ def is_float(obj: object) -> bool:
     Returns
     -------
     bool
+
+    Examples
+    --------
+    >>> pd.api.types.is_float(1.0)
+    True
+
+    >>> pd.api.types.is_float(1)
+    False
     """
     return util.is_float_object(obj)
 
@@ -1067,6 +1075,14 @@ def is_integer(obj: object) -> bool:
     Returns
     -------
     bool
+
+    Examples
+    --------
+    >>> pd.api.types.is_integer(1)
+    True
+
+    >>> pd.api.types.is_integer(1.0)
+    False
     """
     return util.is_integer_object(obj)
 
@@ -1089,6 +1105,14 @@ def is_bool(obj: object) -> bool:
     Returns
     -------
     bool
+
+    Examples
+    --------
+    >>> pd.api.types.is_bool(True)
+    True
+
+    >>> pd.api.types.is_bool(1)
+    False
     """
     return util.is_bool_object(obj)
 
@@ -1100,6 +1124,14 @@ def is_complex(obj: object) -> bool:
     Returns
     -------
     bool
+
+    Examples
+    --------
+    >>> pd.api.types.is_complex(1 + 1j)
+    True
+
+    >>> pd.api.types.is_complex(1)
+    False
     """
     return util.is_complex_object(obj)
 

pandas/core/dtypes/common.py

@@ -1603,6 +1603,11 @@ def pandas_dtype(dtype) -> DtypeObj:
     Raises
     ------
     TypeError if not a dtype
+
+    Examples
+    --------
+    >>> pd.api.types.pandas_dtype(int)
+    dtype('int64')
     """
     # short-circuit
     if isinstance(dtype, np.ndarray):

pandas/core/dtypes/dtypes.py

@@ -697,16 +697,17 @@ class DatetimeTZDtype(PandasExtensionDtype):
 
     Raises
     ------
-    pytz.UnknownTimeZoneError
+    ZoneInfoNotFoundError
         When the requested timezone cannot be found.
 
     Examples
     --------
-    >>> pd.DatetimeTZDtype(tz='UTC')
+    >>> from zoneinfo import ZoneInfo
+    >>> pd.DatetimeTZDtype(tz=ZoneInfo('UTC'))
     datetime64[ns, UTC]
 
-    >>> pd.DatetimeTZDtype(tz='dateutil/US/Central')
-    datetime64[ns, tzfile('/usr/share/zoneinfo/US/Central')]
+    >>> pd.DatetimeTZDtype(tz=ZoneInfo('Europe/Paris'))
+    datetime64[ns, Europe/Paris]
     """
 
     type: type[Timestamp] = Timestamp
@@ -772,13 +773,27 @@ def _creso(self) -> int:
     def unit(self) -> str_type:
         """
         The precision of the datetime data.
+
+        Examples
+        --------
+        >>> from zoneinfo import ZoneInfo
+        >>> dtype = pd.DatetimeTZDtype(tz=ZoneInfo('America/Los_Angeles'))
+        >>> dtype.unit
+        'ns'
         """
         return self._unit
 
     @property
     def tz(self) -> tzinfo:
         """
         The timezone.
+
+        Examples
+        --------
+        >>> from zoneinfo import ZoneInfo
+        >>> dtype = pd.DatetimeTZDtype(tz=ZoneInfo('America/Los_Angeles'))
+        >>> dtype.tz
+        zoneinfo.ZoneInfo(key='America/Los_Angeles')
         """
         return self._tz
 
@@ -967,6 +982,12 @@ def __reduce__(self):
     def freq(self):
         """
         The frequency object of this PeriodDtype.
+
+        Examples
+        --------
+        >>> dtype = pd.PeriodDtype(freq='D')
+        >>> dtype.freq
+        <Day>
         """
         return self._freq
 
@@ -1217,6 +1238,12 @@ def closed(self) -> IntervalClosedType:
     def subtype(self):
         """
         The dtype of the Interval bounds.
+
+        Examples
+        --------
+        >>> dtype = pd.IntervalDtype(subtype='int64', closed='both')
+        >>> dtype.subtype
+        dtype('int64')
         """
         return self._subtype
 
@@ -1565,6 +1592,17 @@ class SparseDtype(ExtensionDtype):
     Methods
     -------
     None
+
+    Examples
+    --------
+    >>> ser = pd.Series([1, 0, 0], dtype=pd.SparseDtype(dtype=int, fill_value=0))
+    >>> ser
+    0    1
+    1    0
+    2    0
+    dtype: Sparse[int64, 0]
+    >>> ser.sparse.density
+    0.3333333333333333
     """
 
     # We include `_is_na_fill_value` in the metadata to avoid hash collisions