Pandas Dataframe Astype: Syntax, Data Types, Creating Dataframe

Pandas Dataframe Astype: Syntax, Data Types, Creating Dataframe

In this post, we'll a simple tutorial on how to use the Pandas Datafram Astype method in Python. Learn how to manipulate time series and tables in Python.

Python is one of the most used languages across various industries for data manipulation and analysis purposes. The biggest reason behind Python’s popularity is its vast set of libraries that makes it simple for developers to maintain and monitor data. One such library written for Python is Pandas. The Pandas library, in particular, is used for manipulating time series and tables.

The Pandas DataFrame.astype() or sometimes also referred to as astype() method is used to cast pandas objects to a dtype.astype() function. It is particularly very useful when we need to convert the data type of one or multiple columns of a table to another.

data science pandas datraframe astype syntax of pandas

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