Dec 3, 2023 · DataFrame.astype() method is used to cast a pandas object to a specified dtype. astype() function also provides the capability to convert any suitable existing column to a categorical type.

pandas.DataFrame.astype# DataFrame. astype (dtype, copy = None, errors = 'raise') [source] # Cast a pandas object to a specified dtype dtype. Parameters: dtype str, data type, Series or Mapping of column name -> data type. Use a str, numpy.dtype, pandas.ExtensionDtype or Python type to cast entire pandas object to the same type.

The astype() method returns a new DataFrame where the data types has been changed to the specified type. You can cast the entire DataFrame to one specific data type, or you can use a Python Dictionary to specify a data type for each column, like this: 'Duration': 'int64', 'Pulse' : 'float', 'Calories': 'int64'

Nov 30, 2020 · Python astype() method enables us to set or convert the data type of an existing data column in a dataset or a data frame. By this, we can change or transform the type of the data values or single or multiple columns to altogether another form using astype() function.

Aug 9, 2023 · Additionally, you can cast an existing object to a different dtype using the astype() method. See the following article on how to extract columns by dtype. See the following article about dtype and astype() in NumPy. Please note that the sample code used in this article is based on pandas version 2.0.3 and behavior may vary with different versions.

The Python astype() method allows us to convert the data type of an existing data column in a dataset or data frame. Using the astype() function, we can modify or transform the type of data values or single or multiple columns to a completely different form. Syntax: DataFrame.astype(dtype, copy=True, errors='raise') Parameters. dtype: The data ...

Dec 9, 2024 · What is the Pandas astype () Method? The astype() method in Pandas converts the data type of one or more columns in a DataFrame or a Series to a specified type. It's highly flexible and supports converting data to numeric, string, or even custom types like categories. The astype() method has the following syntax:

Mar 21, 2022 · In this tutorial, I’ll explain how to use the Pandas astype function to modify the datatype of Pandas dataframe columns and Pandas objects. I’ll explain what the technique does, explain the syntax, and show you step-by-step examples. If you need something specific, you can click on any of the following links. Table of Contents:

Jan 8, 2025 · 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.

Mar 19, 2025 · In the realm of Python data manipulation, the astype function is a powerful tool that allows you to change the data type of elements within a data structure. Whether you are working with numerical data, strings, or other data types, astype provides a straightforward way to convert data to the desired format.