Pandas DataFrame: astype() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - astype() function

The astype() function is used to cast a pandas object to a specified dtype dtype.

Syntax:

DataFrame.astype(self, dtype, copy=True, errors='raise', **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
dtype	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.	data type, or dict of column name -> data type	Required
copy	Return a copy when copy=True (be very careful setting copy=False as changes to values then may propagate to other pandas objects).	bool Default Value: True	Required
errors	Control raising of exceptions on invalid data for provided dtype. raise : allow exceptions to be raised ignore : suppress exceptions. On error return original object	{‘raise’, ‘ignore’} Default Value: ‘raise’	Required
kwargs	keyword arguments to pass on to the constructor		Required

Returns: numpy.ndarray
The astype of the DataFrame.

Example:

Download the Pandas DataFrame Notebooks from here.

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