import matplotlib.pyplot as plt
x=[0,1,2,3,4,5]
y=[0,1,4,9,16,25]
plt.plot(x,y)

x_=[1,2,3]
y_=[2,4,1]
plt.plot(x_,y_)
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('First Graph')

x1=[1,2,3]
y1=[2,4,1]
plt.plot(x1,y1, label="line1")
x2=[1,2,3]
y2=[4,1,3]
plt.plot(x2,y2,label="line2")
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('Two lines on same graph')
plt.legend()

xx=[1,2,3,4,5,6]
yy=[2,4,1,5,2,6]
plt.plot(xx,yy,color='blue',linestyle='dashed',linewidth=3,marker='o',markerfacecolor='red',markersize=12)
plt.ylim(1,8)
plt.xlim(1,8)
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('Customized Graph')

years=range(2000,2012)
apples=[0.895,0.91,0.919,0.926,0.929,0.931,0.934,0.936,0.937,0.9375,0.9372,0.939]
oranges=[0.962,0.941,0.930,0.923,0.918,0.908,0.907,0.904,0.901,0.898,0.9,0.896]
plt.plot(years,apples)
plt.plot(years,oranges)
plt.xlabel('Year')
plt.ylabel('Tield(tons per hectare)');
plt.title("Crop Yields in Kanto")
plt.legend(['Apples','Oranges']);

plt.plot(years,apples,marker='o')
plt.plot(years,oranges,marker='x')
plt.xlabel('Year')
plt.ylabel('Tield(tons per hectare)');
plt.title("Crop Yields in Kanto")
plt.legend(['Apples','Oranges']);

x_values=[0,1,2,3,4,5]
y_values=[0,1,4,9,16,25]
plt.scatter(x_values,y_values,s=30,color='blue')

import numpy as np
import pandas as pd
x=np.arange(0,10)
y=np.arange(11,21)
print(x)
print(y)
plt.scatter(x,y,c='r')
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('Graph in 2D')
plt.savefig('Test.png')

y=x*x
print(y)

plt.plot(x,y,'g*',linestyle='dashed',linewidth=2,markersize=12)
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('2D Diagram')

x=np.arange(0,4*np.pi,0.1)
y=np.sin(x)
plt.title("sine wave form")
plt.plot(x,y)
plt.show()

x=[1,2,3,4,5]
y1=[10,12,14,16,18]
y2=[5,7,9,11,13]
y3=[2,4,6,8,10]
plt.fill_between(x,y1,color='blue')
plt.fill_between(x,y2,color='green')
plt.plot(x,y1,color='red')
plt.plot(x,y2,color='black')
plt.legend(['y1','y2'])
plt.show()

from scipy.interpolate import make_interp_spline
x=np.array([1,2,3,4,5,6,7,8,9,10])
y=np.array([2,4,5,7,8,8,9,10,11,12])
spl=make_interp_spline(x,y)
x_smooth=np.linspace(x.min(),x.max(),100)
y_smooth=spl(x_smooth)
plt.plot(x,y,'o',label='data')
plt.plot(x_smooth,y_smooth,'-',label='spline')
plt.legend()
plt.show()

height=[10,24,36,40,5]
names=['one','two','three','four','five']
c1=['red','green']
c2=['b','g']
plt.bar(names,height,width=1,color=c2)
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('My bar chart')

x=[2,8,10]
y=[11,16,9]
x1=[3,9,11]
y1=[6,15,7]
plt.bar(x,y,color='r')
plt.bar(x1,y1,color='b')
plt.title('Bar Graph')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()

ages=[2,5,70,40,30,45,50,45,43,40,44,60,7,13,57,18,90,77,32,21,20,40]
range=(0,100)
bins=10
plt.hist(ages,bins,range,color='green',histtype='bar',rwidth=0.8)
plt.xlabel('age')
plt.ylabel('No. of people')
plt.title('My histogram')

x=[2,1,6,4,2,4,8,9,4,2,4,10,6,4,5,7,7,3,2,7,5,3,5,9,2,1]
plt.hist(x,bins=10,color='blue',alpha=0.5)
plt.show()

import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
data=np.random.normal(loc=0,scale=1,size=100)
print(data)

fig,ax=plt.subplots()
ax.boxplot(data)
ax.set_xlabel('Data')
ax.set_ylabel('Values')
ax.set_title('Box Plot')

activities=['eat','sleep','work','play']
slices=[3,7,8,6]
colors=['y','b','r','g']
plt.pie(slices,labels=activities,colors=colors,startangle=90,shadow=True,explode=(0,0,0.1,0),radius=1.0,autopct='%1.1f%%')
plt.legend()

labels='Python','C++','Ruby','Java'
sizes=[215,130,245,210]
colors=['gold','yellowgreen','lightcoral','lightskyblue']
explode=(0,0.4,0,0.5)
plt.pie(sizes,explode=explode,labels=labels,colors=colors,autopct='%1.1f%%',shadow=True)
plt.axis('equal')

activities=['eat','sleep','work','play']
slices=[3,7,8,6]
colors=['r','y','g','b']
plt.pie(slices,labels=activities,colors=colors,startangle=90,shadow=True,explode=(0,0,0.1,0),radius=1.2,autopct='%1.1f%%')
plt.legend()