Transform pandas DataFrame to NumPy Array in Python (Example Code)

import pandas as pd                               # Import pandas library in Python

import pandas as pd # Import pandas library in Python

my_df = pd.DataFrame({'A':range(15, 10, - 1),    # Construct DataFrame in Python
                      'B':['c', 'x', 'a', 'g', 'g'],
                      'C':range(105, 100, - 1)})
print(my_df)                                     # Display DataFrame in console
#     A  B    C
# 0  15  c  105
# 1  14  x  104
# 2  13  a  103
# 3  12  g  102
# 4  11  g  101

my_df = pd.DataFrame({'A':range(15, 10, - 1), # Construct DataFrame in Python 'B':['c', 'x', 'a', 'g', 'g'], 'C':range(105, 100, - 1)}) print(my_df) # Display DataFrame in console # A B C # 0 15 c 105 # 1 14 x 104 # 2 13 a 103 # 3 12 g 102 # 4 11 g 101

import numpy as np                                # Load numpy

import numpy as np # Load numpy

my_array = my_df.to_numpy()                      # Using to_numpy() function
print(my_array)                                  # Display array in console
# [[15 'c' 105]
#  [14 'x' 104]
#  [13 'a' 103]
#  [12 'g' 102]
#  [11 'g' 101]]

my_array = my_df.to_numpy() # Using to_numpy() function print(my_array) # Display array in console # [[15 'c' 105] # [14 'x' 104] # [13 'a' 103] # [12 'g' 102] # [11 'g' 101]]