dataframe object to numpy array
import pandas as pd
#initialize a dataframe
df = pd.DataFrame(
[[21, 72, 67],
[23, 78, 69],
[32, 74, 56],
[52, 54, 76]],
columns=['a', 'b', 'c'])
#convert dataframe to numpy array
arr = df.to_numpy()
print('nNumpy Arrayn----------n', arr)get pandas dataframe as numpy array
>>> df = pd.DataFrame({"A": [1, 2], "B": [3.0, 4.5]})
>>> df.to_numpy()
array([[1. , 3. ],
[2. , 4.5]])Convert Dataframe to an array
import numpy as np
import pandas as pd
arr = np.random.rand(4, 3)
print("Numpy array:")
print(arr)
# convert numpy array to dataframe
df = pd.DataFrame(arr, columns =['A', 'B', 'C'])
print("nPandas DataFrame: ")
dfCopyright © 2021 Codeinu
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