pandas df to numpy array code example

Example 1: make pandas df from np array

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

Example 2: 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 Array\n----------\n', arr)

Example 3: convert dataframe to numpy array

>>> pd.DataFrame({"A": [1, 2], "B": [3, 4]}).to_numpy()
array([[1, 3],
       [2, 4]])

Example 4: 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)

Example 5: convert pandas dataframe to numpy dataframe

DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)

Example 6: 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]])