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DOC: standardizing docstrings to use pd.DataFrame #18788

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Dec 16, 2017
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DOC: standardizing docstrings to use pd.DataFrame #18788

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c23482c
DOC: standardizing docstrings to use pd.DataFrame
accraze Dec 15, 2017
71fd9ee
fix docstring spacing
accraze Dec 16, 2017
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26 changes: 13 additions & 13 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2304,7 +2304,7 @@ def query(self, expr, inplace=False, **kwargs):
--------
>>> from numpy.random import randn
>>> from pandas import DataFrame
>>> df = DataFrame(randn(10, 2), columns=list('ab'))
>>> df = pd.DataFrame(randn(10, 2), columns=list('ab'))
>>> df.query('a > b')
>>> df[df.a > df.b] # same result as the previous expression
"""
Expand Down Expand Up @@ -2368,7 +2368,7 @@ def eval(self, expr, inplace=False, **kwargs):
--------
>>> from numpy.random import randn
>>> from pandas import DataFrame
>>> df = DataFrame(randn(10, 2), columns=list('ab'))
>>> df = pd.DataFrame(randn(10, 2), columns=list('ab'))
>>> df.eval('a + b')
>>> df.eval('c = a + b')
"""
Expand Down Expand Up @@ -2664,7 +2664,7 @@ def assign(self, **kwargs):

Examples
--------
>>> df = DataFrame({'A': range(1, 11), 'B': np.random.randn(10)})
>>> df = pd.DataFrame({'A': range(1, 11), 'B': np.random.randn(10)})

Where the value is a callable, evaluated on `df`:

Expand Down Expand Up @@ -3780,9 +3780,9 @@ def nlargest(self, n, columns, keep='first'):

Examples
--------
>>> df = DataFrame({'a': [1, 10, 8, 11, -1],
... 'b': list('abdce'),
... 'c': [1.0, 2.0, np.nan, 3.0, 4.0]})
>>> df = pd.DataFrame({'a': [1, 10, 8, 11, -1],
... 'b': list('abdce'),
... 'c': [1.0, 2.0, np.nan, 3.0, 4.0]})
>>> df.nlargest(3, 'a')
a b c
3 11 c 3
Expand Down Expand Up @@ -3815,9 +3815,9 @@ def nsmallest(self, n, columns, keep='first'):

Examples
--------
>>> df = DataFrame({'a': [1, 10, 8, 11, -1],
... 'b': list('abdce'),
... 'c': [1.0, 2.0, np.nan, 3.0, 4.0]})
>>> df = pd.DataFrame({'a': [1, 10, 8, 11, -1],
... 'b': list('abdce'),
... 'c': [1.0, 2.0, np.nan, 3.0, 4.0]})
>>> df.nsmallest(3, 'a')
a b c
4 -1 e 4
Expand Down Expand Up @@ -5818,7 +5818,7 @@ def quantile(self, q=0.5, axis=0, numeric_only=True,
Examples
--------

>>> df = DataFrame(np.array([[1, 1], [2, 10], [3, 100], [4, 100]]),
>>> df = pd.DataFrame(np.array([[1, 1], [2, 10], [3, 100], [4, 100]]),
columns=['a', 'b'])
>>> df.quantile(.1)
a 1.3
Expand Down Expand Up @@ -5941,7 +5941,7 @@ def isin(self, values):
--------
When ``values`` is a list:

>>> df = DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']})
>>> df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']})
>>> df.isin([1, 3, 12, 'a'])
A B
0 True True
Expand All @@ -5950,7 +5950,7 @@ def isin(self, values):

When ``values`` is a dict:

>>> df = DataFrame({'A': [1, 2, 3], 'B': [1, 4, 7]})
>>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [1, 4, 7]})
>>> df.isin({'A': [1, 3], 'B': [4, 7, 12]})
A B
0 True False # Note that B didn't match the 1 here.
Expand All @@ -5959,7 +5959,7 @@ def isin(self, values):

When ``values`` is a Series or DataFrame:

>>> df = DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']})
>>> df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'f']})
>>> other = DataFrame({'A': [1, 3, 3, 2], 'B': ['e', 'f', 'f', 'e']})
>>> df.isin(other)
A B
Expand Down