[
https://issues.apache.org/jira/browse/SPARK-36348?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yikun Jiang updated SPARK-36348:
--------------------------------
Description:
{code:python}
pidx = pd.Index([10, 20, 15, 30, 45, None], name="x")
psidx = ps.Index(pidx)
self.assert_eq(psidx.astype(str), pidx.astype(str))
{code}
[left pandas on spark]: Index(['10.0', '20.0', '15.0', '30.0', '45.0', 'nan'],
dtype='object', name='x')
[right pandas]: Index(['10', '20', '15', '30', '45', 'None'], dtype='object',
name='x')
The index is loaded as float64, so the follow step like astype would be diff
with pandas
was:
{code:python}
pidx = pd.Index([10, 20, 15, 30, 45, None], name="x")
psidx = ps.Index(pidx)
self.assert_eq(psidx.astype(str), pidx.astype(str))
{code}
[left pandas on spark]: Index(['10.0', '20.0', '15.0', '30.0', '45.0', 'nan'],
dtype='object', name='x')
[right pandas]: Index(['10', '20', '15', '30', '45', 'None'], dtype='object',
name='x')
The index is loaded as float64
> unexpected Index loaded: pd.Index([10, 20, None], name="x")
> -----------------------------------------------------------
>
> Key: SPARK-36348
> URL: https://issues.apache.org/jira/browse/SPARK-36348
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Yikun Jiang
> Priority: Major
>
> {code:python}
> pidx = pd.Index([10, 20, 15, 30, 45, None], name="x")
> psidx = ps.Index(pidx)
> self.assert_eq(psidx.astype(str), pidx.astype(str))
> {code}
> [left pandas on spark]: Index(['10.0', '20.0', '15.0', '30.0', '45.0',
> 'nan'], dtype='object', name='x')
> [right pandas]: Index(['10', '20', '15', '30', '45', 'None'], dtype='object',
> name='x')
> The index is loaded as float64, so the follow step like astype would be diff
> with pandas
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