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DOC: correct Series.searchsorted example #19784

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Merged
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Feb 21, 2018
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DOC: correct Series.searchsorted example #19784

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f4cd90f
DOC: correct Series.searchsorted exsample
ZhuBaohe Feb 20, 2018
6ff636e
fixed for PEP8
ZhuBaohe Feb 20, 2018
6ffdac7
delete dtype=int64
ZhuBaohe Feb 21, 2018
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23 changes: 9 additions & 14 deletions pandas/core/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1154,32 +1154,27 @@ def factorize(self, sort=False, na_sentinel=-1):
dtype: int64

>>> x.searchsorted(4)
array([3])
array([3], dtype=int64)
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Is there a reason you are adding the 'dtype=int64' here? I don't see that in the output of my console.

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It appears in my console, but I already delete them in 6ffdac7


>>> x.searchsorted([0, 4])
array([0, 3])
array([0, 3], dtype=int64)

>>> x.searchsorted([1, 3], side='left')
array([0, 2])
array([0, 2], dtype=int64)

>>> x.searchsorted([1, 3], side='right')
array([1, 3])
array([1, 3], dtype=int64)

>>> x = pd.Categorical(['apple', 'bread', 'bread', 'cheese', 'milk' ])
>>> x = pd.Categorical(['apple', 'bread', 'bread',
'cheese', 'milk'], ordered=True)
[apple, bread, bread, cheese, milk]
Categories (4, object): [apple < bread < cheese < milk]

>>> x.searchsorted('bread')
array([1]) # Note: an array, not a scalar
array([1], dtype=int64) # Note: an array, not a scalar

>>> x.searchsorted(['bread'])
array([1])

>>> x.searchsorted(['bread', 'eggs'])
array([1, 4])

>>> x.searchsorted(['bread', 'eggs'], side='right')
array([3, 4]) # eggs before milk
>>> x.searchsorted(['bread'], side='right')
array([3], dtype=int64)
""")

@Substitution(klass='IndexOpsMixin')
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