added few stuff

Matplotlib Tutorial/matplotlib tutorial.py

@@ -0,0 +1,103 @@
+import matplotlib.pyplot as plt
+#from random import randint as rdt
+import csv
+import numpy as np
+
+
+"""
+x=[1,2,3]
+y=[5,7,4]
+
+x2=[1,2,3]
+y2=[10,14,12]
+
+plt.plot(x,y,label="First Line")
+plt.plot(x2,y2,label="Second Line")
+plt.xlabel("Plot Number")
+plt.ylabel("Important var")
+plt.title("Interesting graph\nCheck it out!")
+plt.legend()
+plt.show()
+
+
+
+x=[2,4,6,8,10]
+y=[6,7,8,9,10]
+
+x2=[1,3,5,6,0]
+y2=[6,3,8,3,10]
+
+population_ages=[20+rdt(0,50) for i in range(20)]
+ids=range(len(population_ages))
+
+bins=[10*x for x in ids]
+
+
+plt.bar(ids,population_ages)
+plt.bar(x,y,label="Bars1",color="blue")
+plt.bar(x2,y2,label="Bars2",color="c")
+plt.hist(population_ages,bins,histtype="bar",rwidth=0.8)
+
+
+
+x=[2,4,6,8,10]
+y=[6,7,8,9,10]
+
+days=[1,2,3,4,5]
+sleeping=[7,6,6,11,7]
+eating=[2,3,4,3,2]
+working=[5,3,5,6,2]
+playing=[6,4,7,3,9]
+
+#plt.scatter(x,y,label="skitcat",color="k",marker="x",s=100)
+
+plt.plot([],[],color="m",label="Sleeping")
+plt.plot([],[],color="c",label="Eating")
+plt.plot([],[],color="r",label="Working")
+plt.plot([],[],color="k",label="Playing")
+
+plt.stackplot(days,sleeping,eating,working,playing,colors=["m","c","r","k"])
+
+
+
+slices=[7,4,2,13]
+activities=["sleeping","eating","working","playing"]
+cols=["c","m","r","k"]
+
+plt.pie(slices,labels=activities,colors=cols,startangle=90,shadow=True,explode=[0,0,0.1,0],autopct="%1.1f%%")
+
+
+#Part 1
+
+x=[]
+y=[]
+
+with open("text.txt","r") as csvfile:
+    plots=csv.reader(csvfile,delimiter=",")
+    for row in plots:
+        x.append(int(row[0]))
+        y.append(int(row[1]))
+
+plt.plot(x,y,label="loaded from file")
+
+
+#Part 2
+
+x,y=np.loadtxt("text.txt",delimiter=",",unpack=True)
+
+plt.plot(x,y,label="loaded from file")
+"""
+
+
+
+def graph_data(stock):
+
+    stock_price_url = 'https://pythonprogramming.net/yahoo_finance_replacement'
+    
+    plt.xlabel("x")
+    plt.ylabel("y")
+    plt.title("Interesting graph\nCheck it out!")
+    plt.legend()
+    plt.show()
+
+graph_data("TSLA")