Convert numpy array to a dataframe

Step 1: Define an array.

arr = np.array([
    ['Krishna', 35, 'Male'],
    ['Thulasi', 24, 'Female'],
    ['Raj', 41, 'Male']
])

Above snippet catures employees information.

 

Step 2: Convert Numpy array to the dataframe by assigning the array to the dataframe.

column_names = ['name', 'age', 'gender']
df = pd.DataFrame()
df[column_names] = arr

Find the below working application.

 

map_ndarray_to_df.py

import numpy as np
import pandas as pd

arr = np.array([
    ['Krishna', 35, 'Male'],
    ['Thulasi', 24, 'Female'],
    ['Raj', 41, 'Male']
])
print(f'arr : \n{arr}')

column_names = ['name', 'age', 'gender']
df = pd.DataFrame()
df[column_names] = arr
print(f'\ndf : \n{df}')

Output

arr : 
[['Krishna' '35' 'Male']
 ['Thulasi' '24' 'Female']
 ['Raj' '41' 'Male']]

df : 
      name age  gender
0  Krishna  35    Male
1  Thulasi  24  Female
2      Raj  41    Male

 

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