To sum all the rows of a DataFrame, use the sum() function and set the axis value as 1. The value axis 1 will add the row values.
At first, let us create a DataFrame. We have Opening and Closing Stock columns in it
dataFrame = pd.DataFrame({"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]})
Finding sum of row values. Axis is set 1 to add row values
dataFrame = dataFrame.sum(axis = 1)
Example
Following is the complete code
import pandas as pd dataFrame = pd.DataFrame({"Opening_Stock": [300, 700, 1200, 1500],"Closing_Stock": [200, 500, 1000, 900]}) print"DataFrame...\n",dataFrame # finding sum of row values # axis is set 1 to add row values dataFrame = dataFrame.sum(axis = 1) print"\nSumming rows...\n",dataFrame
Output
This will produce the following output
DataFrame... Closing_Stock Opening_Stock 0 200 300 1 500 700 2 1000 1200 3 900 1500 Summing rows... 0 500 1 1200 2 2200 3 2400 dtype: int64