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What is the infer_objects() function in pandas?

Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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)
Implementing the infer_objects() function

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.

RELATED TAGS

pandas
data science
dataframe
communitycreator

CONTRIBUTOR

Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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