Update folder structure

november/task_171121/company_sales_data.csv

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+month_number,facecream,facewash,toothpaste,bathingsoap,shampoo,moisturizer,total_units,total_profit
+1,2500,1500,5200,9200,1200,1500,21100,211000
+2,2630,1200,5100,6100,2100,1200,18330,183300
+3,2140,1340,4550,9550,3550,1340,22470,224700
+4,3400,1130,5870,8870,1870,1130,22270,222700
+5,3600,1740,4560,7760,1560,1740,20960,209600
+6,2760,1555,4890,7490,1890,1555,20140,201400
+7,2980,1120,4780,8980,1780,1120,29550,295500
+8,3700,1400,5860,9960,2860,1400,36140,361400
+9,3540,1780,6100,8100,2100,1780,23400,234000
+10,1990,1890,8300,10300,2300,1890,26670,266700
+11,2340,2100,7300,13300,2400,2100,41280,412800
+12,2900,1760,7400,14400,1800,1760,30020,300200

november/task_171121/task_171121.py

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+# Author - Kristiāns Francis Cagulis
+# Date - 22.11.2021
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+data = pd.read_csv("company_sales_data.csv")
+
+
+def task_1():
+	plt.figure(figsize=(10, 6))  # (x, y)
+	x = range(len(data["month_number"]))  # gets range of months
+	plt.plot(x, data["total_profit"])  # sets up the plot
+	plt.xticks(x, data["month_number"], fontsize=15)  # sets x value step
+	plt.yticks(fontsize=15)
+	plt.ylim(ymin=100000)  # sets minimal y value
+
+	set_labels("Company profit per month", "Month number", "Total profit")
+
+	plt.show()
+
+
+def task_2():
+	plt.figure(figsize=(10, 6))  # (x, y)
+
+	x = range(len(data["month_number"]))  # gets range of months
+
+	data_list = list(data.columns)[1:-2]  # gets and trims column names
+
+	for column in data_list:
+		plt.plot(x, data[column], lw=4, marker='o', ms=10)  # ms = marker size
+
+	plt.xticks(x, data["month_number"], fontsize=15)  # sets x value step
+	plt.yticks(fontsize=15)
+
+	set_labels("Sales data", "Month number", "Sales units in number")
+
+	new_data_list = list(map(lambda x: x.capitalize() + " Sales Data", data_list))  # capitalizes each word in list
+	plt.legend(new_data_list, loc='upper left', fontsize=15)
+	plt.show()
+
+
+def task_3():
+	plt.figure(figsize=(10, 6))  # (x, y)
+	x = range(len(data["month_number"]))  # gets range of months
+
+	plt.scatter(x, data["toothpaste"], s=75)  # sets up the plot
+	plt.grid(ls='dashed', lw=1.5)  # sets grid line type and width
+	plt.xticks(x, data["month_number"], fontsize=15)  # sets x value step
+	plt.yticks(fontsize=15)
+
+	set_labels("Toothpaste Sales data", "Month number", "Number of units Sold")
+	plt.legend(["Toothpaste Sales data"], loc='upper left', fontsize=15)
+	plt.show()
+
+
+def task_4():
+	items = ["facecream", "facewash"]
+
+	data.plot(x="month_number", y=["facecream", "facewash"], kind='bar', figsize=(10, 6), fontsize=15)
+
+	plt.xticks(rotation=0)  # rotates x lables to 0
+	plt.grid(ls='dashed', lw=1.5)  # sets grid line type and width
+
+	set_labels("Facewash and Facecream Sales data", "Month number", "Sales units in number")
+	new_items_list = list(map(lambda x: x.capitalize() + " Sales Data", items))
+	plt.legend(new_items_list, loc='upper left', fontsize=15)
+	plt.show()
+
+
+def set_labels(title: str, xlabel: str, ylabel: str):
+	plt.title(title, fontsize=15)
+	plt.xlabel(xlabel, fontsize=15)
+	plt.ylabel(ylabel, fontsize=15)
+
+
+def main():
+	task = input(
+	    """Ivēlieties uzdevumu:
+1 - pirmais uzdevums
+2 - otrais uzdevums
+3 - trešais uzdevums
+4 - ceturtais uzdevums
+"""
+	)
+
+	if task == "1":
+		task_1()
+	elif task == "2":
+		task_2()
+	elif task == "3":
+		task_3()
+	elif task == "4":
+		task_4()
+	else:
+		print("Tika ievadīts nepareiz cipars")
+
+
+if __name__ == '__main__':
+	main()