pandas.Series.convert_objects

Series.convert_objects(convert_dates=True, convert_numeric=False, convert_timedeltas=True, copy=True) [source]

Attempt to infer better dtype for object columns.

Deprecated since version 0.21.0.

Parameters:

Parameters:	`convert_dates : boolean, default True` If True, convert to date where possible. If ‘coerce’, force conversion, with unconvertible values becoming NaT. `convert_numeric : boolean, default False` If True, attempt to coerce to numbers (including strings), with unconvertible values becoming NaN. `convert_timedeltas : boolean, default True` If True, convert to timedelta where possible. If ‘coerce’, force conversion, with unconvertible values becoming NaT. `copy : boolean, default True` If True, return a copy even if no copy is necessary (e.g. no conversion was done). Note: This is meant for internal use, and should not be confused with inplace.
Returns:	`converted : same as input object`

convert_dates : boolean, default True: If True, convert to date where possible. If ‘coerce’, force conversion, with unconvertible values becoming NaT.
convert_numeric : boolean, default False: If True, attempt to coerce to numbers (including strings), with unconvertible values becoming NaN.
convert_timedeltas : boolean, default True: If True, convert to timedelta where possible. If ‘coerce’, force conversion, with unconvertible values becoming NaT.
copy : boolean, default True: If True, return a copy even if no copy is necessary (e.g. no conversion was done). Note: This is meant for internal use, and should not be confused with inplace.

Returns: