python_class/Mat_Plot_Lib_1.py at Matrix · harinivbaskar/python_class · GitHub

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# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# profitList = df ['total_profit'].tolist()
# monthList  = df ['month_number'].tolist()
# plt.plot(monthList, profitList, label = 'Month-wise Profit data of last year')
# plt.xlabel('Month number')
# plt.ylabel('Profit in dollar')
# plt.xticks(monthList)
# plt.title('Company profit per month')
# plt.yticks([100000, 200000, 300000, 400000, 500000])
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# profitList = df ['total_profit'].tolist()
# monthList  = df ['month_number'].tolist()

# plt.plot(monthList, profitList, label = 'Profit data of last year',
#       color='r', marker='o', markerfacecolor='k',
#       linestyle='--', linewidth=3)

# plt.xlabel('Month Number')
# plt.ylabel('Profit in dollar')
# plt.legend(loc='lower right')
# plt.title('Company Sales data of last year')
# plt.xticks(monthList)
# plt.yticks([100000, 200000, 300000, 400000, 500000])
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()
# faceCremSalesData   = df ['facecream'].tolist()
# faceWashSalesData   = df ['facewash'].tolist()
# toothPasteSalesData = df ['toothpaste'].tolist()
# bathingsoapSalesData   = df ['bathingsoap'].tolist()
# shampooSalesData   = df ['shampoo'].tolist()
# moisturizerSalesData = df ['moisturizer'].tolist()

# plt.plot(monthList, faceCremSalesData,   label = 'Face cream Sales Data', marker='o', linewidth=3)
# plt.plot(monthList, faceWashSalesData,   label = 'Face Wash Sales Data',  marker='o', linewidth=3)
# plt.plot(monthList, toothPasteSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
# plt.plot(monthList, bathingsoapSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
# plt.plot(monthList, shampooSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)
# plt.plot(monthList, moisturizerSalesData, label = 'ToothPaste Sales Data', marker='o', linewidth=3)

# plt.xlabel('Month Number')
# plt.ylabel('Sales units in number')
# plt.legend(loc='upper left')
# plt.xticks(monthList)
# plt.yticks([1000, 2000, 4000, 6000, 8000, 10000, 12000, 15000, 18000])
# plt.title('Sales data')
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()
# toothPasteSalesData = df ['toothpaste'].tolist()
# plt.scatter(monthList, toothPasteSalesData, label = 'Tooth paste Sales data')
# plt.xlabel('Month Number')
# plt.ylabel('Number of units Sold')
# plt.legend(loc='upper left')
# plt.title(' Tooth paste Sales data')
# plt.xticks(monthList)
# plt.grid(True, linewidth= 1, linestyle="--")
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()
# faceCremSalesData   = df ['facecream'].tolist()
# faceWashSalesData   = df ['facewash'].tolist()

# plt.bar([a-0.25 for a in monthList], faceCremSalesData, width= 0.25, label = 'Face Cream sales data', align='edge')
# plt.bar([a+0.25 for a in monthList], faceWashSalesData, width= -0.25, label = 'Face Wash sales data', align='edge')
# plt.xlabel('Month Number')
# plt.ylabel('Sales units in number')
# plt.legend(loc='upper left')
# plt.title(' Sales data')

# plt.xticks(monthList)
# plt.grid(True, linewidth= 1, linestyle="--")
# plt.title('Facewash and facecream sales data')
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()
# bathingsoapSalesData   = df ['bathingsoap'].tolist()
# plt.bar(monthList, bathingsoapSalesData)
# plt.xlabel('Month Number')
# plt.ylabel('Sales units in number')
# plt.title(' Sales data')
# plt.xticks(monthList)
# plt.grid(True, linewidth= 1, linestyle="--")
# plt.title('bathingsoap sales data')
# plt.savefig('C:\\PythonProgramming\\Data\\company_sales_data_of_bathingsoap.png', dpi=150)
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# profitList = df ['total_profit'].tolist()
# labels = ['low', 'average', 'Good', 'Best']
# profit_range = [150000, 175000, 200000, 225000, 250000, 300000, 350000]
# plt.hist(profitList, profit_range, label = 'Profit data')
# plt.xlabel('Profit Range in Dollars')
# plt.ylabel('Actual Profit in Dollars')
# plt.legend(loc='upper left')
# plt.xticks(profit_range)
# plt.title('Profit data')
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()

# labels = ['Face Cream', 'Face Wash', 'ToothPaste', 'Bathing soap', 'Shampoo', 'Moisturizer']
# salesData   = [df ['facecream'].sum(), df ['facewash'].sum(), df ['toothpaste'].sum(),
#          df ['bathingsoap'].sum(), df ['shampoo'].sum(), df ['moisturizer'].sum()]
# plt.axis("equal")
# plt.pie(salesData, labels=labels, autopct='%1.1f%%')
# plt.legend(loc='lower right')
# plt.title('Sales data')
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()
# bathingsoap   = df ['bathingsoap'].tolist()
# faceWashSalesData   = df ['facewash'].tolist()

# f, axarr = plt.subplots(2, sharex=True)
# axarr[0].plot(monthList, bathingsoap, label = 'Bathingsoap Sales Data', color='k', marker='o', linewidth=3)
# axarr[0].set_title('Sales data of Bathingsoap')
# axarr[1].plot(monthList, faceWashSalesData, label = 'Face Wash Sales Data', color='r', marker='o', linewidth=3)
# axarr[1].set_title('Sales data of Facewash')

# plt.xticks(monthList)
# plt.xlabel('Month Number')
# plt.ylabel('Sales units in number')
# plt.show()


# import pandas as pd
# import matplotlib.pyplot as plt

# df = pd.read_csv("C:\\PythonProgramming\\Data\\company_sales_data.csv")
# monthList  = df ['month_number'].tolist()

# faceCremSalesData   = df ['facecream'].tolist()
# faceWashSalesData   = df ['facewash'].tolist()
# toothPasteSalesData = df ['toothpaste'].tolist()
# bathingsoapSalesData   = df ['bathingsoap'].tolist()
# shampooSalesData   = df ['shampoo'].tolist()
# moisturizerSalesData = df ['moisturizer'].tolist()

# plt.plot([],[],color='m', label='Face Cream', linewidth=5)
# plt.plot([],[],color='c', label='Face Wash', linewidth=5)
# plt.plot([],[],color='r', label='Toothpaste', linewidth=5)
# plt.plot([],[],color='k', label='Bathing Soap', linewidth=5)
# plt.plot([],[],color='g', label='Shampoo', linewidth=5)
# plt.plot([],[],color='y', label='Moisturizer', linewidth=5)

# plt.stackplot(monthList, faceCremSalesData, faceWashSalesData, toothPasteSalesData,
#               bathingsoapSalesData, shampooSalesData, moisturizerSalesData,
#               colors=['m','c','r','k','g','y'])

# plt.xlabel('Month Number')
# plt.ylabel('Sales units in Number')
# plt.title('All product sales data using stack plot')
# plt.legend(loc='upper left')
# plt.show()