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Title:
DEPR: float/int(Series[single_element])? · Issue #51101 · pandas-dev/pandas
Description:
In [1]: float(pd.Series([1])) Out[1]: 1.0 In [2]: int(pd.Series([1])) Out[2]: 1 Raises a TypeError if there's more than one element, but not sure the exact use case for the single element case....
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personal information depr comment metadata assignees pandas type single element case single element series mroeschke mentioned type projects projects milestone tangentially related similar logic depr milestone relationships calling float series[single_element] series[single_elemet] github float/int element case float sign series int skip jump pd typeerror exact ser iloc[0] preferred remove wondered bool dataframe raise free join conversation account development branches share
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context:https://schema.org
headline:DEPR: float/int(Series[single_element])?
articleBody:```
In [1]: float(pd.Series([1]))
Out[1]: 1.0
In [2]: int(pd.Series([1]))
Out[2]: 1
```
Raises a `TypeError` if there's more than one element, but not sure the exact use case for the single element case. `int(ser.iloc[0])` should probably be preferred.
author:
url:https://github.com/mroeschke
type:Person
name:mroeschke
datePublished:2023-02-01T01:30:48.000Z
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url:https://github.com/51101/pandas/issues/51101
context:https://schema.org
headline:DEPR: float/int(Series[single_element])?
articleBody:```
In [1]: float(pd.Series([1]))
Out[1]: 1.0
In [2]: int(pd.Series([1]))
Out[2]: 1
```
Raises a `TypeError` if there's more than one element, but not sure the exact use case for the single element case. `int(ser.iloc[0])` should probably be preferred.
author:
url:https://github.com/mroeschke
type:Person
name:mroeschke
datePublished:2023-02-01T01:30:48.000Z
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url:https://github.com/51101/pandas/issues/51101
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name:mroeschke
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