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jordan-d-murphyjordan-d-murphy
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DOC: fix EX03 errors in docstrings - pandas.core.resample.Resampler.interpolate, pandas.pivot, pandas.merge_asof, pandas.wide_to_long (#56868)
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3 files changed

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‎ci/code_checks.sh

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@@ -89,11 +89,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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pandas.read_parquet \
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pandas.DataFrame.to_sql \
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pandas.read_stata \
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pandas.core.resample.Resampler.interpolate \
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pandas.plotting.scatter_matrix \
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pandas.pivot \
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pandas.merge_asof \
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pandas.wide_to_long \
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pandas.Index.rename \
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pandas.Index.droplevel \
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pandas.Index.isin \

‎pandas/core/reshape/melt.py

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@@ -295,7 +295,7 @@ def wide_to_long(
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... "B1970" : {0 : 2.5, 1 : 1.2, 2 : .7},
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... "B1980" : {0 : 3.2, 1 : 1.3, 2 : .1},
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... "X" : dict(zip(range(3), np.random.randn(3)))
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... })
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... })
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>>> df["id"] = df.index
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>>> df
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A1970 A1980 B1970 B1980 X id
@@ -332,8 +332,8 @@ def wide_to_long(
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6 3 1 2.2 3.3
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7 3 2 2.3 3.4
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8 3 3 2.1 2.9
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>>> l = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age')
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>>> l
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>>> long_format = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age')
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>>> long_format
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... # doctest: +NORMALIZE_WHITESPACE
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ht
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famid birth age
@@ -358,9 +358,9 @@ def wide_to_long(
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Going from long back to wide just takes some creative use of `unstack`
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>>> w = l.unstack()
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>>> w.columns = w.columns.map('{0[0]}{0[1]}'.format)
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>>> w.reset_index()
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>>> wide_format = long_format.unstack()
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>>> wide_format.columns = wide_format.columns.map('{0[0]}{0[1]}'.format)
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>>> wide_format.reset_index()
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famid birth ht1 ht2
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0 1 1 2.8 3.4
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1 1 2 2.9 3.8
@@ -381,7 +381,7 @@ def wide_to_long(
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... 'B(weekly)-2011': np.random.rand(3),
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... 'X' : np.random.randint(3, size=3)})
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>>> df['id'] = df.index
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>>> df # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
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>>> df # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
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A(weekly)-2010 A(weekly)-2011 B(weekly)-2010 B(weekly)-2011 X id
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0 0.548814 0.544883 0.437587 0.383442 0 0
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1 0.715189 0.423655 0.891773 0.791725 1 1
@@ -430,9 +430,9 @@ def wide_to_long(
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7 3 2 2.3 3.4
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8 3 3 2.1 2.9
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>>> l = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age',
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... sep='_', suffix=r'\w+')
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>>> l
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>>> long_format = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age',
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... sep='_', suffix=r'\w+')
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>>> long_format
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... # doctest: +NORMALIZE_WHITESPACE
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ht
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famid birth age

‎pandas/core/reshape/merge.py

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@@ -601,17 +601,17 @@ def merge_asof(
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... pd.Timestamp("2016-05-25 13:30:00.075")
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... ],
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... "ticker": [
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... "GOOG",
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... "MSFT",
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... "MSFT",
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... "MSFT",
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... "GOOG",
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... "AAPL",
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... "GOOG",
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... "MSFT"
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... ],
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... "bid": [720.50, 51.95, 51.97, 51.99, 720.50, 97.99, 720.50, 52.01],
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... "ask": [720.93, 51.96, 51.98, 52.00, 720.93, 98.01, 720.88, 52.03]
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... "GOOG",
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... "MSFT",
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... "MSFT",
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... "MSFT",
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... "GOOG",
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... "AAPL",
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... "GOOG",
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... "MSFT"
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... ],
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... "bid": [720.50, 51.95, 51.97, 51.99, 720.50, 97.99, 720.50, 52.01],
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... "ask": [720.93, 51.96, 51.98, 52.00, 720.93, 98.01, 720.88, 52.03]
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... }
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... )
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>>> quotes
@@ -626,19 +626,19 @@ def merge_asof(
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7 2016-05-25 13:30:00.075 MSFT 52.01 52.03
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>>> trades = pd.DataFrame(
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... {
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... "time": [
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... pd.Timestamp("2016-05-25 13:30:00.023"),
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... pd.Timestamp("2016-05-25 13:30:00.038"),
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... pd.Timestamp("2016-05-25 13:30:00.048"),
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... pd.Timestamp("2016-05-25 13:30:00.048"),
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... pd.Timestamp("2016-05-25 13:30:00.048")
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... ],
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... "ticker": ["MSFT", "MSFT", "GOOG", "GOOG", "AAPL"],
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... "price": [51.95, 51.95, 720.77, 720.92, 98.0],
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... "quantity": [75, 155, 100, 100, 100]
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... }
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... )
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... {
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... "time": [
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... pd.Timestamp("2016-05-25 13:30:00.023"),
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... pd.Timestamp("2016-05-25 13:30:00.038"),
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... pd.Timestamp("2016-05-25 13:30:00.048"),
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... pd.Timestamp("2016-05-25 13:30:00.048"),
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... pd.Timestamp("2016-05-25 13:30:00.048")
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... ],
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... "ticker": ["MSFT", "MSFT", "GOOG", "GOOG", "AAPL"],
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... "price": [51.95, 51.95, 720.77, 720.92, 98.0],
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... "quantity": [75, 155, 100, 100, 100]
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... }
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... )
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>>> trades
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time ticker price quantity
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0 2016-05-25 13:30:00.023 MSFT 51.95 75

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