How to show the NumPy representation of a dataframe in Pandas

Overview

In Pandas, the DataFrame.values attribute is used to return the NumPy representation of a given dataframe.

Syntax

DataFrame.values
Syntax for the DataFrame.values attribute

Parameters

This attribute takes no parameter value.

Return value

This attribute returns the values of a given dataframe.

Example

import pandas as pd



# creating a dataframe

df = pd.DataFrame({'AGE':    [ 20,  29],

                   'HEIGHT': [94, 170],

                   'WEIGHT': [80, 115]})

# implementing the dataframe.values() function 

print(df.values)

Explanation

  • Line 1: We import the pandas module.
  • Lines 4–6-: We create a dataframe, df.
  • Line 10: We implement the DataFrame.values attribute to obtain the NumPy values of df. Next, we print the value to the console.

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