Day #107 - Data Analysis and Exploration

	import pandas as pd
	from datetime import datetime
	import csv
	import matplotlib.pyplot as plt
	import matplotlib.dates as mdates
	import seaborn as sns
	import numpy as np
	import matplotlib.cbook as cbook
	df = pd.read_csv('Booth531113.csv',header=0)
	print (df)
	df['Date'] = df['Date'].map(lambda x: datetime.strptime(str(x), '%m/%d/%Y'))
	x = df['Date']
	y = df['Temp']
	y1 = df['Mains']
	y2 = df['MCU']
	y3 = df['Freezer']
	plt.plot(x, y)
	plt.plot(x, y1)
	plt.plot(x, y2)
	plt.plot(x, y3)
	plt.gca().set_color_cycle(['red', 'green', 'blue', 'yellow'])
	plt.legend(['Temp', 'Mains', 'MCU', 'Freezer'], loc='upper left')
	plt.title('113')
	plt.show()

view raw plotdata.py hosted with ❤ by GitHub

Happy Learning!!!