How to change the data types of a Pandas Series ? | Pandas astype | Pandas tutorial for Beginners
pandas.Series.astype
Series.astype(self: ~ FrameOrSeries, dtype, copy: bool = True, errors: str = 'raise') → ~FrameOrSeries[source]
Cast a pandas object to a specified dtype dtype.
Parameters
dtype data type, or dict of column name - data type
Use a numpy.dtype or Python type to cast entire pandas object to the same type. Alternatively, use {col: dtype, …}, where col is a column label and dtype is a numpy.dtype or Python type to cast one or more of the DataFrame’s columns to column-specific types.
copy bool, default True
Return a copy when copy=True (be very careful setting copy=False as changes to values then may propagate to other pandas objects).
errors{‘raise’, ‘ignore’}, default ‘raise’
Control raising of exceptions on invalid data for provided dtype.
raise : allow exceptions to be raised
ignore : suppress exceptions. On error return original object.
Returns
casted same type as caller
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