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DEPR: convert_datetime64 parameter in to_records()
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3 files changed

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doc/source/whatsnew/v0.23.0.txt

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@@ -287,6 +287,7 @@ Deprecations
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- ``Series.valid`` is deprecated. Use :meth:`Series.dropna` instead (:issue:`18800`).
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- :func:`read_excel` has deprecated the ``skip_footer`` parameter. Use ``skipfooter`` instead (:issue:`18836`)
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- The ``is_copy`` attribute is deprecated and will be removed in a future version (:issue:`18801`).
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- The ``convert_datetime64`` parameter has been deprecated and the default value is now ``False`` in :func:`to_records` as the NumPy bug motivating this parameter has been resolved (:issue:`18160`).
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.. _whatsnew_0230.prior_deprecations:
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pandas/core/frame.py

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@@ -1195,7 +1195,7 @@ def from_records(cls, data, index=None, exclude=None, columns=None,
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return cls(mgr)
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def to_records(self, index=True, convert_datetime64=True):
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def to_records(self, index=True, convert_datetime64=False):
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"""
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Convert DataFrame to record array. Index will be put in the
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'index' field of the record array if requested
@@ -1204,14 +1204,23 @@ def to_records(self, index=True, convert_datetime64=True):
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----------
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index : boolean, default True
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Include index in resulting record array, stored in 'index' field
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convert_datetime64 : boolean, default True
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convert_datetime64 : boolean, default False
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.. deprecated:: 0.23.0
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Whether to convert the index to datetime.datetime if it is a
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DatetimeIndex
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Returns
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-------
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y : recarray
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"""
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if convert_datetime64:
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warnings.warn("The 'convert_datetime64' parameter is "
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"deprecated and will be removed in a future "
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"version",
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FutureWarning, stacklevel=2)
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if index:
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if is_datetime64_any_dtype(self.index) and convert_datetime64:
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ix_vals = [self.index.to_pydatetime()]

pandas/tests/frame/test_convert_to.py

Lines changed: 4 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -78,7 +78,10 @@ def test_to_records_dt64(self):
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df = DataFrame([["one", "two", "three"],
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["four", "five", "six"]],
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index=date_range("2012-01-01", "2012-01-02"))
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assert df.to_records()['index'][0] == df.index[0]
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with tm.assert_produces_warning(FutureWarning):
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expected = df.index[0]
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result = df.to_records(convert_datetime64=True)['index'][0]
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assert expected == result
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rs = df.to_records(convert_datetime64=False)
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assert rs['index'][0] == df.index.values[0]

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