Merge branch 'master' of https://github.com/pandas-dev/pandas into fix-25959

Author: ThomasKluiters

doc/source/user_guide/cookbook.rst

@@ -1045,7 +1045,7 @@ Option 1: pass rows explicitly to skip rows
 
 .. ipython:: python
 
-    from pandas.compat import StringIO
+    from io import StringIO
 
     pd.read_csv(StringIO(data), sep=';', skiprows=[11, 12],
                 index_col=0, parse_dates=True, header=10)

doc/source/user_guide/io.rst

@@ -137,7 +137,7 @@ usecols : list-like or callable, default ``None``
 
   .. ipython:: python
 
-     from pandas.compat import StringIO, BytesIO
+     from io import StringIO, BytesIO
      data = ('col1,col2,col3\n'
              'a,b,1\n'
              'a,b,2\n'

doc/source/whatsnew/v0.19.0.rst

@@ -192,7 +192,7 @@ default of the index) in a DataFrame.
 .. ipython:: python
    :suppress:
 
-   from pandas.compat import StringIO
+   from io import StringIO
 
 :ref:`Duplicate column names <io.dupe_names>` are now supported in :func:`read_csv` whether
 they are in the file or passed in as the ``names`` parameter (:issue:`7160`, :issue:`9424`)

doc/source/whatsnew/v0.20.0.rst

@@ -119,7 +119,7 @@ fixed-width text files and :func:`read_excel` for parsing Excel files, now accep
 .. ipython:: python
    :suppress:
 
-   from pandas.compat import StringIO
+   from io import StringIO
 
 .. ipython:: python
 

doc/source/whatsnew/v0.21.0.rst

@@ -194,7 +194,7 @@ be strings.
 .. ipython:: python
    :suppress:
 
-   from pandas.compat import StringIO
+   from io import StringIO
 
 .. ipython:: python
 

doc/source/whatsnew/v0.24.0.rst

@@ -567,7 +567,7 @@ missing indicator, ``np.nan``. (:issue:`20377`)
 .. ipython:: python
    :suppress:
 
-   from pandas.compat import StringIO
+   from pandas.io import StringIO
 
 *Previous Behavior*:
 

doc/source/whatsnew/v0.25.0.rst

@@ -347,7 +347,6 @@ I/O
 ^^^
 
 - Bug in :func:`DataFrame.to_html()` where values were truncated using display options instead of outputting the full content (:issue:`17004`)
-- Bug in :meth:`DataFrame.to_html` that would ignore ``formatters`` argument for float values in a column with ``dtype=object`` (:issue:`13021`)
 - Fixed bug in missing text when using :meth:`to_clipboard` if copying utf-16 characters in Python 3 on Windows (:issue:`25040`)
 - Bug in :func:`read_json` for ``orient='table'`` when it tries to infer dtypes by default, which is not applicable as dtypes are already defined in the JSON schema (:issue:`21345`)
 - Bug in :func:`read_json` for ``orient='table'`` and float index, as it infers index dtype by default, which is not applicable because index dtype is already defined in the JSON schema (:issue:`25433`)
@@ -408,6 +407,7 @@ Sparse
 Other
 ^^^^^
 
+- Improved :class:`Timestamp` type checking in various datetime functions to prevent exceptions when using a subclassed `datetime` (:issue:`25851`)
 - Bug in :class:`Series` and :class:`DataFrame` repr where ``np.datetime64('NaT')`` and ``np.timedelta64('NaT')`` with ``dtype=object`` would be represented as ``NaN`` (:issue:`25445`)
 -
 -

pandas/_libs/tslib.pyx

@@ -2,7 +2,6 @@
 import cython
 
 from cpython.datetime cimport (PyDateTime_Check, PyDate_Check,
-                               PyDateTime_CheckExact,
                                PyDateTime_IMPORT,
                                timedelta, datetime, date, time)
 # import datetime C API
@@ -19,6 +18,7 @@ import pytz
 from pandas._libs.util cimport (
     is_integer_object, is_float_object, is_datetime64_object)
 
+from pandas._libs.tslibs.c_timestamp cimport _Timestamp
 
 from pandas._libs.tslibs.np_datetime cimport (
     check_dts_bounds, npy_datetimestruct, _string_to_dts, dt64_to_dtstruct,
@@ -539,8 +539,7 @@ cpdef array_to_datetime(ndarray[object] values, str errors='raise',
                                              'datetime64 unless utc=True')
                     else:
                         iresult[i] = pydatetime_to_dt64(val, &dts)
-                        if not PyDateTime_CheckExact(val):
-                            # i.e. a Timestamp object
+                        if isinstance(val, _Timestamp):
                             iresult[i] += val.nanosecond
                         check_dts_bounds(&dts)
 

pandas/_libs/tslibs/c_timestamp.pxd

@@ -0,0 +1,19 @@
+# -*- coding: utf-8 -*-
+
+from cpython.datetime cimport datetime
+
+from numpy cimport int64_t
+
+cdef class _Timestamp(datetime):
+    cdef readonly:
+        int64_t value, nanosecond
+        object freq
+        list _date_attributes
+    cpdef bint _get_start_end_field(self, str field)
+    cpdef _get_date_name_field(self, object field, object locale)
+    cdef int64_t _maybe_convert_value_to_local(self)
+    cpdef to_datetime64(self)
+    cdef _assert_tzawareness_compat(_Timestamp self, datetime other)
+    cpdef datetime to_pydatetime(_Timestamp self, bint warn=*)
+    cdef bint _compare_outside_nanorange(_Timestamp self, datetime other,
+                                         int op) except -1