pandas sum rows
# Basic syntax: df.sum(axis=1) # Create new column consisting of row sums across specific columns: df['sums'] = df.iloc[:, 6:23].sum(axis=1) # Where: # - iloc allows you to specify the rows and columns with slicing. Here # I select all rows and sum over columns 6-22 # - df['sums'] is how you assign a new column named 'sums' to the df # Example usage: import pandas as pd import numpy as np # Create dataframe: df = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), columns=['a', 'b', 'c']) print(df) a b c 0 1 2 3 1 4 5 6 2 7 8 9 # Sum columns 1-2: df['sums'] = df.iloc[:, 1:3].sum(axis=1) print(df) a b c sums 0 1 2 3 5 1 4 5 6 11 2 7 8 9 17
