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 a pandas df to a numpy array
x = df.to_numpy()
xconvert pandas dataframe to numpy dataframe
DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)list dataframe to numpy array
df.values
array([[nan, 0.2, nan],
[nan, nan, 0.5],
[nan, 0.2, 0.5],
[0.1, 0.2, nan],
[0.1, 0.2, 0.5],
[0.1, nan, 0.5],
[0.1, nan, nan]])Copyright © 2021 Codeinu
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