Pandas Dataframe Column Data Type

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Change data type of pandas dataframe column in python 8 examples

Change Data Type Of Pandas DataFrame Column In Python 8 Examples

Let s see how to get data types of columns in the pandas dataframe First Let s create a pandas dataframe Example Python3 import pandas as pd employees Stuti 28 Varanasi 20000 Saumya 32 Delhi 25000 Aaditya 25 Mumbai 40000 Saumya 32 Delhi 35000 Saumya 32 Delhi 30000 Columns in a pandas DataFrame can take on one of the following types: object (strings) int64 (integers) float64 (numeric values with decimals) bool (True or False values) datetime64 (dates and times) The easiest way to convert a column from one data type to another is to use the astype () function.

Convert Float To Integer In Pandas DataFrame Column Python Example

Pandas Dataframe Column Data TypeLet's see How To Change Column Type in Pandas DataFrames, There are different ways of changing DataType for one or more columns in Pandas Dataframe. Change column type into string object using DataFrame.astype () DataFrame.astype () method is used to cast pandas object to a specified dtype. 16 Answers Sorted by 2516 200 You have four main options for converting types in pandas to numeric provides functionality to safely convert non numeric types e g strings to a suitable numeric type See also to datetime and to timedelta