[
https://issues.apache.org/jira/browse/SPARK-36031?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yikun Jiang updated SPARK-36031:
--------------------------------
Description:
There are many operations for series doen't follow the pandas, such as:
=========================================================
*>>> pser = pd.Series([1, 2, np.nan], dtype=float)*
*>>> psser = ps.from_pandas(pser)*
*>>> pser.astype(int)*
Traceback (most recent call last):
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/IPython/core/interactiveshell.py",
line 3343, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-30-1ca2ff8756d2>", line 1, in <module>
pser.astype(int)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/generic.py",
line 5548, in astype
new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors,)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
line 604, in astype
return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
line 409, in apply
applied = getattr(b, f)(**kwargs)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/blocks.py",
line 595, in astype
values = astype_nansafe(vals1d, dtype, copy=True)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/dtypes/cast.py",
line 968, in astype_nansafe
raise ValueError("Cannot convert non-finite values (NA or inf) to integer")
ValueError: Cannot convert non-finite values (NA or inf) to integer
*>>> psser.astype(int)*
0 1.0
1 2.0
2 NaN
dtype: float64
=========================================================
*>>> pser = pd.Series([1, 2, np.nan], dtype=float)*
*>>> psser = ps.from_pandas(pser)*
*>>> pser ** False*
pser ** False
Out[6]:
0 1.0
1 1.0
2 1.0
dtype: float64
*>>> psser ** False*
0 1.0
1 1.0
2 NaN
dtype: float64
was:
There are many operations for series doen't follow the pandas, such as:
>>> pser = pd.Series([1, 2, np.nan], dtype=float)
>>> psser = ps.from_pandas(pser)
>>> pser.astype(int)
Traceback (most recent call last):
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/IPython/core/interactiveshell.py",
line 3343, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-30-1ca2ff8756d2>", line 1, in <module>
pser.astype(int)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/generic.py",
line 5548, in astype
new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors,)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
line 604, in astype
return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
line 409, in apply
applied = getattr(b, f)(**kwargs)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/blocks.py",
line 595, in astype
values = astype_nansafe(vals1d, dtype, copy=True)
File
"/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/dtypes/cast.py",
line 968, in astype_nansafe
raise ValueError("Cannot convert non-finite values (NA or inf) to integer")
ValueError: Cannot convert non-finite values (NA or inf) to integer
>>> psser.astype(int)
0 1.0
1 2.0
2 NaN
dtype: float64
>>> pser = pd.Series([1, 2, np.nan], dtype=float)
>>> psser = ps.from_pandas(pser)
>>> pser ** False
pser ** False
Out[6]:
0 1.0
1 1.0
2 1.0
dtype: float64
>>> psser ** False
0 1.0
1 1.0
2 NaN
dtype: float64
> Keep same behavior with pandas for operations of series with nan
> -----------------------------------------------------------------
>
> Key: SPARK-36031
> URL: https://issues.apache.org/jira/browse/SPARK-36031
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.2.0, 3.3.0
> Reporter: Yikun Jiang
> Priority: Major
>
> There are many operations for series doen't follow the pandas, such as:
> =========================================================
> *>>> pser = pd.Series([1, 2, np.nan], dtype=float)*
> *>>> psser = ps.from_pandas(pser)*
> *>>> pser.astype(int)*
> Traceback (most recent call last):
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/IPython/core/interactiveshell.py",
> line 3343, in run_code
> exec(code_obj, self.user_global_ns, self.user_ns)
> File "<ipython-input-30-1ca2ff8756d2>", line 1, in <module>
> pser.astype(int)
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/generic.py",
> line 5548, in astype
> new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors,)
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
> line 604, in astype
> return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/managers.py",
> line 409, in apply
> applied = getattr(b, f)(**kwargs)
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/internals/blocks.py",
> line 595, in astype
> values = astype_nansafe(vals1d, dtype, copy=True)
> File
> "/Users/jiangyikun/venv36/lib/python3.6/site-packages/pandas/core/dtypes/cast.py",
> line 968, in astype_nansafe
> raise ValueError("Cannot convert non-finite values (NA or inf) to
> integer")
> ValueError: Cannot convert non-finite values (NA or inf) to integer
> *>>> psser.astype(int)*
> 0 1.0
> 1 2.0
> 2 NaN
> dtype: float64
> =========================================================
> *>>> pser = pd.Series([1, 2, np.nan], dtype=float)*
> *>>> psser = ps.from_pandas(pser)*
> *>>> pser ** False*
> pser ** False
> Out[6]:
> 0 1.0
> 1 1.0
> 2 1.0
> dtype: float64
> *>>> psser ** False*
> 0 1.0
> 1 1.0
> 2 NaN
> dtype: float64
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
