Closed
Description
cc @bashtage
The deprecation warning is triggered, but the value of the keyword argument should also be adapted so it still works with the new code I think (from a failure in the docs)
In [1]: from datetime import datetime
In [2]: s = pd.Series([datetime(2001,1,1,0,0), 'foo', 1.0, 1,
...: pd.Timestamp('20010104'), '20010105'], dtype='O')
In [5]: s.convert_objects(convert_dates='coerce')
c:\users\vdbosscj\scipy\pandas-joris\pandas\util\decorators.py:81: FutureWarning
: the 'convert_dates' keyword is deprecated, use 'datetime' instead
warnings.warn(msg, FutureWarning)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-b962b638ac86> in <module>()
----> 1 s.convert_objects(convert_dates='coerce')
c:\users\vdbosscj\scipy\pandas-joris\pandas\util\decorators.pyc in wrapper(*args
, **kwargs)
86 else:
87 kwargs[new_arg_name] = new_arg_value
---> 88 return func(*args, **kwargs)
89 return wrapper
90 return _deprecate_kwarg
c:\users\vdbosscj\scipy\pandas-joris\pandas\util\decorators.pyc in wrapper(*args
, **kwargs)
86 else:
87 kwargs[new_arg_name] = new_arg_value
---> 88 return func(*args, **kwargs)
89 return wrapper
90 return _deprecate_kwarg
c:\users\vdbosscj\scipy\pandas-joris\pandas\util\decorators.pyc in wrapper(*args
, **kwargs)
86 else:
87 kwargs[new_arg_name] = new_arg_value
---> 88 return func(*args, **kwargs)
89 return wrapper
90 return _deprecate_kwarg
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\generic.py in convert_objects(s
elf, datetime, numeric, timedelta, coerce, copy)
2468 timedelta=timedelta,
2469 coerce=coerce,
-> 2470 copy=copy)).__finalize__(self)
2471
2472 #-------------------------------------------------------------------
---
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\internals.py in convert(self, *
*kwargs)
3459 """ convert the whole block as one """
3460 kwargs['by_item'] = False
-> 3461 return self.apply('convert', **kwargs)
3462
3463 @property
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\internals.py in apply(self, f,
axes, filter, do_integrity_check, **kwargs)
2467 copy=align_copy)
2468
-> 2469 applied = getattr(b, f)(**kwargs)
2470
2471 if isinstance(applied, list):
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\internals.py in convert(self, d
atetime, numeric, timedelta, coerce, copy, by_item)
1493 timedelta=timedelta,
1494 coerce=coerce,
-> 1495 copy=copy
1496 ).reshape(self.values.shape)
1497 blocks.append(make_block(values,
c:\users\vdbosscj\scipy\pandas-joris\pandas\core\common.py in _possibly_convert_
objects(values, datetime, numeric, timedelta, coerce, copy)
1897 """ if we have an object dtype, try to coerce dates and/or numbers "
""
1898
-> 1899 conversion_count = sum((datetime, numeric, timedelta))
1900 if conversion_count == 0:
1901 import warnings
TypeError: unsupported operand type(s) for +: 'int' and 'str'