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DOC: fix EX03 errors in docstrings -pandas.DataFrame for idxmax, idxmin, pivot #56830

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Jan 11, 2024
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DOC: fix EX03 errors in docstrings -pandas.DataFrame for idxmax, idxmin, pivot #56830

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10 changes: 5 additions & 5 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9223,11 +9223,11 @@ def groupby(
You could also assign a list of column names or a list of index names.

>>> df = pd.DataFrame({
... "lev1": [1, 1, 1, 2, 2, 2],
... "lev2": [1, 1, 2, 1, 1, 2],
... "lev3": [1, 2, 1, 2, 1, 2],
... "lev4": [1, 2, 3, 4, 5, 6],
... "values": [0, 1, 2, 3, 4, 5]})
... "lev1": [1, 1, 1, 2, 2, 2],
... "lev2": [1, 1, 2, 1, 1, 2],
... "lev3": [1, 2, 1, 2, 1, 2],
... "lev4": [1, 2, 3, 4, 5, 6],
... "values": [0, 1, 2, 3, 4, 5]})
>>> df
lev1 lev2 lev3 lev4 values
0 1 1 1 1 0
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4 changes: 2 additions & 2 deletions pandas/core/shared_docs.py
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Expand Up @@ -839,7 +839,7 @@
Consider a dataset containing food consumption in Argentina.

>>> df = pd.DataFrame({{'consumption': [10.51, 103.11, 55.48],
... 'co2_emissions': [37.2, 19.66, 1712]}},
... 'co2_emissions': [37.2, 19.66, 1712]}},
... index=['Pork', 'Wheat Products', 'Beef'])

>>> df
Expand Down Expand Up @@ -904,7 +904,7 @@
Consider a dataset containing food consumption in Argentina.

>>> df = pd.DataFrame({{'consumption': [10.51, 103.11, 55.48],
... 'co2_emissions': [37.2, 19.66, 1712]}},
... 'co2_emissions': [37.2, 19.66, 1712]}},
... index=['Pork', 'Wheat Products', 'Beef'])

>>> df
Expand Down