8000 ENH: Enabled prefix, suffix, and sep to DataFrame.shift by RUTUPARNk · Pull Request #61710 · pandas-dev/pandas · GitHub
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ENH: Enabled prefix, suffix, and sep to DataFrame.shift #61710

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ENH: Enabled prefix, suffix, and sep to DataFrame.shift #61710

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21bc7d8
ENH: Enabled prefix, suffix, and sep to DataFrame. shift with iterabl…
RUTUPARNk Jun 26, 2025
bed37e7
ENH: Enabled prefix, suffix, and sep to DataFrame. shift with iterabl…
RUTUPARNk Jun 26, 2025
0d780fe
fix for local changes
RUTUPARNk Jun 26, 2025
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ENH: Enabled prefix, suffix, and sep to DataFrame. shift with iterabl… 
…e periods (#61696)
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@RUTUPARNk
RUTUPARNk committed Jun 26, 2025
commit 21bc7d87a38bf0c7268e8199f655db39b5b5b4b5
8 changes: 8 additions & 0 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5866,7 +5866,9 @@ def shift(
freq: Frequency | None = None,
axis: Axis = 0,
fill_value: Hashable = lib.no_default,
prefix: str | None = None,
suffix: str | None = None,
sep: str ="_",
) -> DataFrame:
if freq is not None and fill_value is not lib.no_default:
# GH#53832
Expand Down Expand Up @@ -5899,11 +5901,17 @@ def shift(
shifted_dataframes.append(
super()
.shift(periods=period, freq=freq, axis=axis, fill_value=fill_value)
.add_prefix(f"{prefix}{sep}" if prefix else "")
.add_suffix(f"{suffix}_{period}" if suffix else f"_{period}")
.rename(
columns=lambda col: col.replace(f"{sep}{sep}", sep)
)
)
return concat(shifted_dataframes, axis=1)
elif suffix:
raise ValueError("Cannot specify `suffix` if `periods` is an int.")
elif prefix:
raise ValueError("Cannot specify `prefix` if `periods` is an int.")
periods = cast(int, periods)

ncols = len(self.columns)
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10 changes: 10 additions & 0 deletions pandas/tests/frame/methods/test_shift.py
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Expand Up @@ -725,6 +725,16 @@ def test_shift_with_iterable_check_other_arguments(self):
expected = DataFrame({"a_suffix_0": [1, 2], "a_suffix_1": [np.nan, 1.0]})
tm.assert_frame_equal(shifted, expected)

# test prefix and sep
shifted = df[["a"]].shift(shifts, prefix="pre", suffix="suf", sep="-")
expected = DataFrame(
{
"pre-a-suf-0": [1, 2],
"pre-a-suf-1": [np.nan, 1.0]
}
)
tm.assert_frame_equal(shifted, expected)

# check bad inputs when doing multiple shifts
msg = "If `periods` contains multiple shifts, `axis` cannot be 1."
with pytest.raises(ValueError, match=msg):
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