Answers for "df to numpy"

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)

numpy arrauy to df

numpy_data = np.array([[1, 2], [3, 4]])
df = pd.DataFrame(data=numpy_data, index=["row1", "row2"], columns=["column1", "column2"])
print(df)

convert a pandas df to a numpy array

x = df.to_numpy()
x

convert 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]])