Converting Data Types With Pandas Astype() Function
Convert Pandas Series/DataFrame data type with astype()! Examples: int, float, str. Handle errors & missing values with errors='raise' or errors='coerce'. Downcast for memory savings.
Understanding astype() in Python
The astype() function is a powerful method in Python, primarily used in the pandas library for converting a column or a dataset in a DataFrame or Series to a specific data type. It is also available in NumPy for casting array elements to a different type.
Basic Usage of astype()
The astype() function is used to cast the data type of a pandas object (like a Series or DataFrame) or a NumPy array into another type.
Syntax for pandas:
DataFrame.astype(dtype, copy=True, errors='raise')
Syntax for NumPy:
ndar...