What is the infer_objects() function in pandas?

Overview

The infer_objects() function in pandas is used to ascertain or infer a better data type for the columns of a DataFrame.

Syntax

DataFrame.infer_objects()
Syntax of the infer_objects() function

Parameter value

The infer_objects() function takes no parameter value.

Example

# importing the pandas library

import pandas as pd



# creating a dataframe

df = pd.DataFrame({"COL_1": ["A", 1, 2, 3]})



# getting the values from index 2

df = df.iloc[2:]



# printing the dataframe

print(df, "\n")



# pbtaining the data types

a = df.infer_objects().dtypes

print(a)

Explanation

  • Line 2: We import the pandas module.
  • Line 5: We create a DataFrame called df .
  • Line 8: We locate all the values of df starting from index 2. We assign the result to df.
  • Line 11: We print the DataFrame, df.
  • Line 13: We use the infer_objects() function to infer the data types of the values in df.

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