Closed
Description
Hi folks,
In Pandas 0.23.0 (on Linux Mint 18.3), i run
import pandas as pd
import numpy as np
s = pd.Series([np.nan, 1])
s.fillna(-1).astype(int).astype(str).replace('-1', '')and get the error
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-39-6bd382c335e3> in <module>()
1 print(pd.__version__)
2 s = pd.Series([np.nan, 1])
----> 3 s.fillna(-1).astype(int).astype(str).replace('-1', '')
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/series.py in replace(self, to_replace, value, inplace, limit, regex, method)
3427 return super(Series, self).replace(to_replace=to_replace, value=value,
3428 inplace=inplace, limit=limit,
-> 3429 regex=regex, method=method)
3430
3431 @Appender(generic._shared_docs['shift'] % _shared_doc_kwargs)
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/generic.py in replace(self, to_replace, value, inplace, limit, regex, method)
5877 new_data = self._data.replace(to_replace=to_replace,
5878 value=value, inplace=inplace,
-> 5879 regex=regex)
5880 else:
5881 msg = ('Invalid "to_replace" type: '
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/internals.py in replace(self, **kwargs)
3718
3719 def replace(self, **kwargs):
-> 3720 return self.apply('replace', **kwargs)
3721
3722 def replace_list(self, src_list, dest_list, inplace=False, regex=False,
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/internals.py in apply(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)
3579
3580 kwargs['mgr'] = self
-> 3581 applied = getattr(b, f)(**kwargs)
3582 result_blocks = _extend_blocks(applied, result_blocks)
3583
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/internals.py in replace(self, to_replace, value, inplace, filter, regex, convert, mgr)
2430 blocks = [self]
2431
-> 2432 if not either_list and is_re(to_replace):
2433 return self._replace_single(to_replace, value, inplace=inplace,
2434 filter=filter, regex=True,
~/.virtualenvs/make_gtfs-2RAnZ_bf/lib/python3.5/site-packages/pandas/core/dtypes/inference.py in is_re(obj)
217 """
218
--> 219 return isinstance(obj, re_type)
220
221
/usr/lib/python3.5/typing.py in __instancecheck__(self, obj)
258
259 def __instancecheck__(self, obj):
--> 260 raise TypeError("Type aliases cannot be used with isinstance().")
261
262 def __subclasscheck__(self, cls):
TypeError: Type aliases cannot be used with isinstance().
I expect to get what i got using Pandas 0.22.0, namely
0
1 1
dtype: object