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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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merged 2 commits into from
Jan 15, 2024
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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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ef87e4b
DOC: fix EX03 errors in docstrings - pandas.core.resample.Resampler.i…
jordan-d-murphy Jan 14, 2024
3281103
Merge branch 'main' into issue#56804_5
jordan-d-murphy Jan 14, 2024
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4 changes: 0 additions & 4 deletions ci/code_checks.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -93,11 +93,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.read_parquet \
pandas.DataFrame.to_sql \
pandas.read_stata \
pandas.core.resample.Resampler.interpolate \
pandas.plotting.scatter_matrix \
pandas.pivot \
pandas.merge_asof \
pandas.wide_to_long \
pandas.Index.rename \
pandas.Index.droplevel \
pandas.Index.isin \
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20 changes: 10 additions & 10 deletions pandas/core/reshape/melt.py
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Original file line number Diff line number Diff line change
Expand Up @@ -295,7 +295,7 @@ def wide_to_long(
... "B1970" : {0 : 2.5, 1 : 1.2, 2 : .7},
... "B1980" : {0 : 3.2, 1 : 1.3, 2 : .1},
... "X" : dict(zip(range(3), np.random.randn(3)))
... })
... })
>>> df["id"] = df.index
>>> df
A1970 A1980 B1970 B1980 X id
Expand Down Expand Up @@ -332,8 +332,8 @@ def wide_to_long(
6 3 1 2.2 3.3
7 3 2 2.3 3.4
8 3 3 2.1 2.9
>>> l = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age')
>>> l
>>> long_format = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age')
>>> long_format
... # doctest: +NORMALIZE_WHITESPACE
ht
famid birth age
Expand All @@ -358,9 +358,9 @@ def wide_to_long(

Going from long back to wide just takes some creative use of `unstack`

>>> w = l.unstack()
>>> w.columns = w.columns.map('{0[0]}{0[1]}'.format)
>>> w.reset_index()
>>> wide_format = long_format.unstack()
>>> wide_format.columns = wide_format.columns.map('{0[0]}{0[1]}'.format)
>>> wide_format.reset_index()
famid birth ht1 ht2
0 1 1 2.8 3.4
1 1 2 2.9 3.8
Expand All @@ -381,7 +381,7 @@ def wide_to_long(
... 'B(weekly)-2011': np.random.rand(3),
... 'X' : np.random.randint(3, size=3)})
>>> df['id'] = df.index
>>> df # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
>>> df # doctest: +NORMALIZE_WHITESPACE, +ELLIPSIS
A(weekly)-2010 A(weekly)-2011 B(weekly)-2010 B(weekly)-2011 X id
0 0.548814 0.544883 0.437587 0.383442 0 0
1 0.715189 0.423655 0.891773 0.791725 1 1
Expand Down Expand Up @@ -430,9 +430,9 @@ def wide_to_long(
7 3 2 2.3 3.4
8 3 3 2.1 2.9

>>> l = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age',
... sep='_', suffix=r'\w+')
>>> l
>>> long_format = pd.wide_to_long(df, stubnames='ht', i=['famid', 'birth'], j='age',
... sep='_', suffix=r'\w+')
>>> long_format
... # doctest: +NORMALIZE_WHITESPACE
ht
famid birth age
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48 changes: 24 additions & 24 deletions pandas/core/reshape/merge.py
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Expand Up @@ -601,17 +601,17 @@ def merge_asof(
... pd.Timestamp("2016-05-25 13:30:00.075")
... ],
... "ticker": [
... "GOOG",
... "MSFT",
... "MSFT",
... "MSFT",
... "GOOG",
... "AAPL",
... "GOOG",
... "MSFT"
... ],
... "bid": [720.50, 51.95, 51.97, 51.99, 720.50, 97.99, 720.50, 52.01],
... "ask": [720.93, 51.96, 51.98, 52.00, 720.93, 98.01, 720.88, 52.03]
... "GOOG",
... "MSFT",
... "MSFT",
... "MSFT",
... "GOOG",
... "AAPL",
... "GOOG",
... "MSFT"
... ],
... "bid": [720.50, 51.95, 51.97, 51.99, 720.50, 97.99, 720.50, 52.01],
... "ask": [720.93, 51.96, 51.98, 52.00, 720.93, 98.01, 720.88, 52.03]
... }
... )
>>> quotes
Expand All @@ -626,19 +626,19 @@ def merge_asof(
7 2016-05-25 13:30:00.075 MSFT 52.01 52.03

>>> trades = pd.DataFrame(
... {
... "time": [
... pd.Timestamp("2016-05-25 13:30:00.023"),
... pd.Timestamp("2016-05-25 13:30:00.038"),
... pd.Timestamp("2016-05-25 13:30:00.048"),
... pd.Timestamp("2016-05-25 13:30:00.048"),
... pd.Timestamp("2016-05-25 13:30:00.048")
... ],
... "ticker": ["MSFT", "MSFT", "GOOG", "GOOG", "AAPL"],
... "price": [51.95, 51.95, 720.77, 720.92, 98.0],
... "quantity": [75, 155, 100, 100, 100]
... }
... )
... {
... "time": [
... pd.Timestamp("2016-05-25 13:30:00.023"),
... pd.Timestamp("2016-05-25 13:30:00.038"),
... pd.Timestamp("2016-05-25 13:30:00.048"),
... pd.Timestamp("2016-05-25 13:30:00.048"),
... pd.Timestamp("2016-05-25 13:30:00.048")
... ],
... "ticker": ["MSFT", "MSFT", "GOOG", "GOOG", "AAPL"],
... "price": [51.95, 51.95, 720.77, 720.92, 98.0],
... "quantity": [75, 155, 100, 100, 100]
... }
... )
>>> trades
time ticker price quantity
0 2016-05-25 13:30:00.023 MSFT 51.95 75
Expand Down