matplotlib_with_python

used pandas and matplotlib( subplot and line plot)

to run the programm convert the readme to .py format

#this is the dataset use for this exercise

dict = ('''month_number facecream facewash ... moisturizer total_units total_profit 0 1 2500 1500 ... 1500 21100 211000 1 2 2630 1200 ... 1200 18330 183300 2 3 2140 1340 ... 1340 22470 224700 3 4 3400 1130 ... 1130 22270 222700 4 5 3600 1740 ... 1740 20960 209600 5 6 2760 1555 ... 1555 20140 201400 6 7 2980 1120 ... 1120 29550 295500 7 8 3700 1400 ... 1400 36140 361400 8 9 3540 1780 ... 1780 23400 234000 9 10 1990 1890 ... 1890 26670 266700 10 11 2340 2100 ... 2100 41280 412800 11 12 2900 1760 ... 1760 30020 300200''')

import matplotlib.pyplot as pl import numpy as np import pandas as pd #for reading the data data = pd.read_csv(r"C:\Users\ameht\Downloads\company_sales_data (4).csv") to_find_row = data.iloc[[3,4]]

print(data)

for Reading Total profit of all months and show it using a line plot

total_pro = data['total_profit'] month_ = data['month_number']

pl.plot( month_, total_pro) pl.title("Total Profit of All Months") pl.xlabel('month') pl.ylabel('total profit') pl.show()

#2: Read data for Bathing soap and facewash of all months and display it using the Subplot bath_facewash = data[['month_number','bathingsoap', 'facewash']]

to display using the subplot

bath_soap = data['bathingsoap'] month_ = data['month_number']

pl.subplot( 1,2,1) pl.plot(month_,bath_soap) pl.title("bathingsoap amount/Months") pl.xlabel('month') pl.ylabel('bathsoap')

face_wash = data['facewash'] month_ = data['month_number']

pl.subplot( 1,2,2) pl.plot(month_, face_wash) pl.title("facewash amount/month") pl.xlabel('month') pl.ylabel('facewash')

pl.show()