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DEPR: correct class of Warning for offsets deprecated frequency ('M' to 'ME') #55636

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Merged
MarcoGorelli merged 1 commit into from
Oct 23, 2023
Merged

DEPR: correct class of Warning for offsets deprecated frequency ('M' to 'ME') #55636

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2 changes: 1 addition & 1 deletion pandas/_libs/tslibs/offsets.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -4731,7 +4731,7 @@ cpdef to_offset(freq, bint is_period=False):
warnings.warn(
f"\'{name}\' will be deprecated, please use "
f"\'{c_OFFSET_DEPR_FREQSTR.get(name)}\' instead.",
UserWarning,
FutureWarning,
stacklevel=find_stack_level(),
)
name = c_OFFSET_DEPR_FREQSTR[name]
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2 changes: 1 addition & 1 deletion pandas/tests/frame/methods/test_asfreq.py
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Expand Up @@ -240,6 +240,6 @@ def test_asfreq_frequency_M_deprecated(self):
index = date_range("1/1/2000", periods=4, freq="ME")
df = DataFrame({"s": Series([0.0, 1.0, 2.0, 3.0], index=index)})
expected = df.asfreq(freq="5ME")
with tm.assert_produces_warning(UserWarning, match=depr_msg):
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
result = df.asfreq(freq="5M")
tm.assert_frame_equal(result, expected)
2 changes: 1 addition & 1 deletion pandas/tests/indexes/datetimes/test_date_range.py
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Expand Up @@ -128,7 +128,7 @@ def test_date_range_frequency_M_deprecated(self):
depr_msg = "'M' will be deprecated, please use 'ME' instead."

expected = date_range("1/1/2000", periods=4, freq="2ME")
with tm.assert_produces_warning(UserWarning, match=depr_msg):
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
result = date_range("1/1/2000", periods=4, freq="2M")
tm.assert_index_equal(result, expected)

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2 changes: 1 addition & 1 deletion pandas/tests/resample/test_datetime_index.py
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Expand Up @@ -2015,7 +2015,7 @@ def test_resample_M_deprecated():

s = Series(range(10), index=date_range("20130101", freq="d", periods=10))
expected = s.resample("2ME").mean()
with tm.assert_produces_warning(UserWarning, match=depr_msg):
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
result = s.resample("2M").mean()
tm.assert_series_equal(result, expected)

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