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DOC: update the DataFrame.iat[] docstring #20219

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Merged
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Mar 11, 2018
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DOC: update the DataFrame.iat[] docstring #20219

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DOC: update the DataFrame.iat[] docstring
akosel Mar 10, 2018
fa0edf7
Update based on PR comments
akosel Mar 10, 2018
2565642
Update based on PR comments
akosel Mar 10, 2018
e8233e5
Singular not plural
akosel Mar 10, 2018
88c23c0
Update to account for use with Series. Add example using Series.
akosel Mar 10, 2018
6b1fc48
Update indexing.py
jorisvandenbossche Mar 11, 2018
aa387ad
PEP8
TomAugspurger Mar 11, 2018
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Update to account for use with Series. Add example using Series.
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@akosel
akosel committed Mar 10, 2018
commit 88c23c0373335bc0faf82da092990e715c2d4cee
17 changes: 16 additions & 1 deletion pandas/core/indexing.py
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Expand Up @@ -1924,7 +1924,8 @@ class _iAtIndexer(_ScalarAccessIndexer):
Access a single value for a row/column pair by integer position.

Similar to ``iloc``, in that both provide integer-based lookups. Use
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@jreback jreback Mar 10, 2018

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this also works on a Series, can you re-word to accomodate
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@akosel akosel Mar 10, 2018 •
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Great point, I specified that iat works for both a DataFrame and a Series (below the comment, so Github isn't collapsing it here). Let me know if you want be to reword it any differently. I also added an example for using it on Series.
``iat`` if you only need to get or set a single value in a DataFrame.
``iat`` if you only need to get or set a single value in a ``DataFrame``
or ``Series``.

See Also
--------
Expand All @@ -1942,12 +1943,26 @@ class _iAtIndexer(_ScalarAccessIndexer):
1 0 4 1
2 10 20 30

Get value at specified row/column pair

>>> df.iat[1, 2]
1

Set value at specified row/column pair

>>> df.iat[1, 2] = 10
>>> df.iat[1, 2]
10

Get value within a series

>>> df.loc[0].iat[1]
2

Raises
------
IndexError
When integer position is out of bounds
"""

_takeable = True
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