Convert a NumPy array to a data frame with headers

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In this python numpy program, we will convert a NumPy array to a data frame with headers.

Steps to solve the program
  1. Import the numpy library as np.
  2. Import pandas library as pd.
  3. Create an array using np.array().
  4. Convert an array to a data-frame with headers using pd.DataFrame() and set columns=[‘A’,’B’,’C’].
  5. Print the output.
				
					import numpy as np
import pandas as pd
x = np.random.rand(6,3)

df = pd.DataFrame(x,columns=['A','B','C'])
print("\nPandas DataFrame: ")
print(df)

Output :

				
					Pandas DataFrame: 
          A         B         C
0  0.307619  0.526206  0.982625
1  0.865438  0.248926  0.248677
2  0.080811  0.619051  0.774105
3  0.716698  0.419266  0.181618
4  0.223379  0.055573  0.168672
5  0.106160  0.929609  0.886170
Next

create an array and reshape it.

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