Merge branch 'remove-prompts-sphinx-copybutton' of https://github.com/DoNguyenHung/pandas into remove-prompts-sphinx-copybutton

Author: DoNguyenHung

doc/source/reference/indexing.rst

@@ -390,6 +390,7 @@ Conversion
    DatetimeIndex.to_pydatetime
    DatetimeIndex.to_series
    DatetimeIndex.to_frame
+   DatetimeIndex.to_julian_date
 
 Methods
 ~~~~~~~

doc/source/reference/testing.rst

@@ -52,6 +52,12 @@ Exceptions and warnings
    errors.OptionError
    errors.OutOfBoundsDatetime
    errors.OutOfBoundsTimedelta
+   errors.PandasChangeWarning
+   errors.Pandas4Warning
+   errors.Pandas5Warning
+   errors.PandasPendingDeprecationWarning
+   errors.PandasDeprecationWarning
+   errors.PandasFutureWarning
    errors.ParserError
    errors.ParserWarning
    errors.PerformanceWarning

doc/source/whatsnew/v0.23.0.rst

@@ -105,6 +105,16 @@ Please note that the string ``index`` is not supported with the round trip forma
 .. ipython:: python
    :okwarning:
 
+   df = pd.DataFrame(
+       {
+           'foo': [1, 2, 3, 4],
+           'bar': ['a', 'b', 'c', 'd'],
+           'baz': pd.date_range('2018-01-01', freq='d', periods=4),
+           'qux': pd.Categorical(['a', 'b', 'c', 'c'])
+       },
+       index=pd.Index(range(4), name='idx')
+   )
+
    df.index.name = 'index'
 
    df.to_json('test.json', orient='table')

doc/source/whatsnew/v2.3.2.rst

@@ -26,6 +26,8 @@ Bug fixes
   "string" type in the JSON Table Schema for :class:`StringDtype` columns
   (:issue:`61889`)
 - Boolean operations (``|``, ``&``, ``^``) with bool-dtype objects on the left and :class:`StringDtype` objects on the right now cast the string to bool, with a deprecation warning (:issue:`60234`)
+- Fixed ``~Series.str.match``, ``~Series.str.fullmatch`` and ``~Series.str.contains``
+  with compiled regex for the Arrow-backed string dtype (:issue:`61964`, :issue:`61942`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_232.contributors:

doc/source/whatsnew/v3.0.0.rst

@@ -24,6 +24,18 @@ Enhancement1
 Enhancement2
 ^^^^^^^^^^^^
 
+New Deprecation Policy
+^^^^^^^^^^^^^^^^^^^^^^
+pandas 3.0.0 introduces a new 3-stage deprecation policy: using ``DeprecationWarning`` initially, then switching to ``FutureWarning`` for broader visibility in the last minor version before the next major release, and then removal of the deprecated functionality in the major release. This was done to give downstream packages more time to adjust to pandas deprecations, which should reduce the amount of warnings that a user gets from code that isn't theirs. See `PDEP 17 <https://pandas.pydata.org/pdeps/0017-backwards-compatibility-and-deprecation-policy.html>`_ for more details.
+
+All warnings for upcoming changes in pandas will have the base class :class:`pandas.errors.PandasChangeWarning`. Users may also use the following subclasses to control warnings.
+
+- :class:`pandas.errors.Pandas4Warning`: Warnings which will be enforced in pandas 4.0.
+- :class:`pandas.errors.Pandas5Warning`: Warnings which will be enforced in pandas 5.0.
+- :class:`pandas.errors.PandasPendingDeprecationWarning`: Base class of all warnings which emit a ``PendingDeprecationWarning``, independent of the version they will be enforced.
+- :class:`pandas.errors.PandasDeprecationWarning`: Base class of all warnings which emit a ``DeprecationWarning``, independent of the version they will be enforced.
+- :class:`pandas.errors.PandasFutureWarning`: Base class of all warnings which emit a ``FutureWarning``, independent of the version they will be enforced.
+
 .. _whatsnew_300.enhancements.other:
 
 Other enhancements
@@ -857,6 +869,7 @@ I/O
 - Bug in :meth:`read_csv` raising ``TypeError`` when ``index_col`` is specified and ``na_values`` is a dict containing the key ``None``. (:issue:`57547`)
 - Bug in :meth:`read_csv` raising ``TypeError`` when ``nrows`` and ``iterator`` are specified without specifying a ``chunksize``. (:issue:`59079`)
 - Bug in :meth:`read_csv` where the order of the ``na_values`` makes an inconsistency when ``na_values`` is a list non-string values. (:issue:`59303`)
+- Bug in :meth:`read_csv` with ``engine="pyarrow"`` and ``dtype="Int64"`` losing precision (:issue:`56136`)
 - Bug in :meth:`read_excel` raising ``ValueError`` when passing array of boolean values when ``dtype="boolean"``. (:issue:`58159`)
 - Bug in :meth:`read_html` where ``rowspan`` in header row causes incorrect conversion to ``DataFrame``. (:issue:`60210`)
 - Bug in :meth:`read_json` ignoring the given ``dtype`` when ``engine="pyarrow"`` (:issue:`59516`)

pandas/_libs/tslibs/timestamps.pyx

@@ -1994,12 +1994,14 @@ class Timestamp(_Timestamp):
         >>> pd.Timestamp.utcnow()   # doctest: +SKIP
         Timestamp('2020-11-16 22:50:18.092888+0000', tz='UTC')
         """
+        from pandas.errors import Pandas4Warning
+
         warnings.warn(
             # The stdlib datetime.utcnow is deprecated, so we deprecate to match.
             #  GH#56680
             "Timestamp.utcnow is deprecated and will be removed in a future "
             "version. Use Timestamp.now('UTC') instead.",
-            FutureWarning,
+            Pandas4Warning,
             stacklevel=find_stack_level(),
         )
         return cls.now(UTC)
@@ -2036,13 +2038,15 @@ class Timestamp(_Timestamp):
         >>> pd.Timestamp.utcfromtimestamp(1584199972)
         Timestamp('2020-03-14 15:32:52+0000', tz='UTC')
         """
+        from pandas.errors import Pandas4Warning
+
         # GH#22451
         warnings.warn(
             # The stdlib datetime.utcfromtimestamp is deprecated, so we deprecate
             #  to match. GH#56680
             "Timestamp.utcfromtimestamp is deprecated and will be removed in a "
             "future version. Use Timestamp.fromtimestamp(ts, 'UTC') instead.",
-            FutureWarning,
+            Pandas4Warning,
             stacklevel=find_stack_level(),
         )
         return cls.fromtimestamp(ts, tz="UTC")

pandas/core/arrays/_arrow_string_mixins.py

@@ -302,23 +302,29 @@ def _str_contains(
 
     def _str_match(
         self,
-        pat: str,
+        pat: str | re.Pattern,
         case: bool = True,
         flags: int = 0,
         na: Scalar | lib.NoDefault = lib.no_default,
     ):
-        if not pat.startswith("^"):
+        if isinstance(pat, re.Pattern):
+            # GH#61952
+            pat = pat.pattern
+        if isinstance(pat, str) and not pat.startswith("^"):
             pat = f"^{pat}"
         return self._str_contains(pat, case, flags, na, regex=True)
 
     def _str_fullmatch(
         self,
-        pat,
+        pat: str | re.Pattern,
         case: bool = True,
         flags: int = 0,
         na: Scalar | lib.NoDefault = lib.no_default,
     ):
-        if not pat.endswith("$") or pat.endswith("\\$"):
+        if isinstance(pat, re.Pattern):
+            # GH#61952
+            pat = pat.pattern
+        if isinstance(pat, str) and (not pat.endswith("$") or pat.endswith("\\$")):
             pat = f"{pat}$"
         return self._str_match(pat, case, flags, na)
 

pandas/core/arrays/datetimes.py

@@ -2254,9 +2254,26 @@ def isocalendar(self) -> DataFrame:
 
     def to_julian_date(self) -> npt.NDArray[np.float64]:
         """
-        Convert Datetime Array to float64 ndarray of Julian Dates.
-        0 Julian date is noon January 1, 4713 BC.
+        Convert TimeStamp to a Julian Date.
+
+        This method returns the number of days as a float since noon January 1, 4713 BC.
+
         https://en.wikipedia.org/wiki/Julian_day
+
+        Returns
+        -------
+        ndarray or Index
+            Float values that represent each date in Julian Calendar.
+
+        See Also
+        --------
+        Timestamp.to_julian_date : Equivalent method on ``Timestamp`` objects.
+
+        Examples
+        --------
+        >>> idx = pd.DatetimeIndex(["2028-08-12 00:54", "2028-08-12 02:06"])
+        >>> idx.to_julian_date()
+        Index([2461995.5375, 2461995.5875], dtype='float64')
         """
 
         # http://mysite.verizon.net/aesir_research/date/jdalg2.htm

pandas/core/arrays/string_arrow.py

@@ -346,6 +346,8 @@ def _str_contains(
     ):
         if flags:
             return super()._str_contains(pat, case, flags, na, regex)
+        if isinstance(pat, re.Pattern):
+            pat = pat.pattern
 
         return ArrowStringArrayMixin._str_contains(self, pat, case, flags, na, regex)
 

pandas/core/frame.py

@@ -56,6 +56,7 @@
 from pandas.errors import (
     ChainedAssignmentError,
     InvalidIndexError,
+    Pandas4Warning,
 )
 from pandas.errors.cow import (
     _chained_assignment_method_msg,
@@ -12061,7 +12062,7 @@ def all(
         **kwargs,
     ) -> Series | bool: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="all")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="all")
     @doc(make_doc("all", ndim=1))
     def all(
         self,
@@ -12108,7 +12109,7 @@ def min(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="min")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="min")
     @doc(make_doc("min", ndim=2))
     def min(
         self,
@@ -12155,7 +12156,7 @@ def max(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="max")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="max")
     @doc(make_doc("max", ndim=2))
     def max(
         self,
@@ -12171,7 +12172,7 @@ def max(
             result = result.__finalize__(self, method="max")
         return result
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="sum")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="sum")
     def sum(
         self,
         axis: Axis | None = 0,
@@ -12272,7 +12273,7 @@ def sum(
             result = result.__finalize__(self, method="sum")
         return result
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="prod")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="prod")
     def prod(
         self,
         axis: Axis | None = 0,
@@ -12390,7 +12391,7 @@ def mean(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="mean")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="mean")
     @doc(make_doc("mean", ndim=2))
     def mean(
         self,
@@ -12437,7 +12438,9 @@ def median(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="median")
+    @deprecate_nonkeyword_arguments(
+        Pandas4Warning, allowed_args=["self"], name="median"
+    )
     @doc(make_doc("median", ndim=2))
     def median(
         self,
@@ -12487,7 +12490,7 @@ def sem(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="sem")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="sem")
     def sem(
         self,
         axis: Axis | None = 0,
@@ -12607,7 +12610,7 @@ def var(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="var")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="var")
     def var(
         self,
         axis: Axis | None = 0,
@@ -12726,7 +12729,7 @@ def std(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="std")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="std")
     def std(
         self,
         axis: Axis | None = 0,
@@ -12849,7 +12852,7 @@ def skew(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="skew")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="skew")
     def skew(
         self,
         axis: Axis | None = 0,
@@ -12969,7 +12972,7 @@ def kurt(
         **kwargs,
     ) -> Series | Any: ...
 
-    @deprecate_nonkeyword_arguments(version="4.0", allowed_args=["self"], name="kurt")
+    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="kurt")
     def kurt(
         self,
         axis: Axis | None = 0,