Stack 1-D arrays as rows wise: [[1 2 3] [2 3 4]] Explanation: In the above code - x = np.array((1,2,3)): It creates a 1-dimensional NumPy array x with the elements 1, 2, and 3. y = np.array((2,3,4)): It creates
Contribute your code (and comments) through Disqus. Previous: Find the sum of a 4x4 array containing random values. Next: Subtract the mean of each column from each element of a 3x3 array. What is the difficulty
# Apply function NumPy.sum() to each row import pandas as pd import numpy as np df['new_col'] = df.apply(np.sum, axis = 1) print("Use the apply() function to every row:\n", df) Yields below output. # Output: # Use the apply() function to every row: A B C 0 9 25 7...
Python program to find the iloc of a row in pandas dataframe# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Defining indices indices = pd.date_range('10/10/2020', periods=8) # Creating DataFrame df = pd.DataFrame(pd.DataFrame(np.random.randn...
('---Before---') print(data_frame) print() # applying the function multiply # using sum function from the numpy module data_frame['Multiply'] = data_frame.apply(np.sum, axis = 1) # displaying DataFrame print('---After---') print(data_frame) Output If you run the above program,...