In these articles, we will discuss how to extract data from the Excel file and find the profit and loss at the given data. Suppose our Excel file looks like then we have to extract the Selling Price and Cost Price from the column and find the profit and loss and store it into a new DataFrame column.
To get the excel file used click here.
So, Let’s discuss the approach:
Step 1: Import the required module and read data from excel.
Python3
# importing module import pandas as pd; # Creating df # Reading data from Excel data = pd.read_excel("excel_work/book_sample.xlsx"); print("Original DataFrame") data |
Output :
Step 2: Create a new column in DataFrame for store Profit and Loss
Python3
# Create column for profit and loss data['Profit']= Nonedata['Loss']= None data |
Output :
Step 3: Set Index for Selling price, Cost price, Profit, and loss for accessing the DataFrame columns
Python3
# set index index_selling = data.columns.get_loc('Selling Price') index_cost = data.columns.get_loc('Cost price') index_profit = data.columns.get_loc('Profit') index_loss = data.columns.get_loc('Loss') print(index_selling, index_cost, index_profit, index_loss) |
Output :
2 3 4 5
Step 4: Compute profit and loss according to there each column index.
Profit = Selling price - Cost price Loss = Cost price - Selling price
Python3
# Loop for accessing every index in DataFrame # and compute Profit and loss # and store into new column in DataFrame for row in range(0, len(data)): if data.iat[row, index_selling] > data.iat[row, index_cost]: data.iat[row, index_profit] = data.iat[row, index_selling] - data.iat[row, index_cost] else: data.iat[row, index_loss] = data.iat[row, index_cost]-data.iat[row, index_selling] data |
Output :
