import matplotlib.pyplot as plt
x1=[1,2,3]
y1=[1,4,1]
plt.plot(x1,y1, label="line 1", color="maroon", linewidth=2)

x2=[1,2,3]
y2=[4,1,4]
plt.plot(x2,y2, label="line 2", color="black", linewidth=2)

plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title("Two lines on the same graph")
plt.legend()

x=[1,2,3,4,5,6]
y=[2,4,1,5,2,6]
plt.plot(x,y,color='grey', linestyle='dashed', linewidth=3, marker='o', markerfacecolor='maroon',markersize=10)

plt.ylim(1,8)
plt.xlim(1,8)

plt.xlabel('x-axis')
plt.ylabel('y-axis')

plt.title("Customization of Plots")

yield_orange=[0.895, 0.91, 0.919, 0.926, 0.929, 0.931]
plt.plot(yield_orange, color='sienna', linewidth=3)

years= [2010, 2011, 2012, 2013, 2014, 2015]
yield_apples=[0.895, 0.91, 0.919, 0.926, 0.929, 0.931]
plt.plot(years, yield_apples, color='chocolate', linewidth=3)

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.xlabel('Year')
plt.ylabel('Yield (tons per hectare)'); 


plt.plot(years, apples)
plt.plot(years, oranges)

plt.xlabel( 'Year')
plt.ylabel('Yield (tons per hectare)')
plt.title("Crop Yields in Kanto")
plt.legend(['Apples', 'Oranges'])

plt.figure(figsize=(12, 6))
plt.plot(years, oranges, marker='o')
plt.title("vield of Oranges (tons per hectare)") 

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

import matplotlib.pyplot as plt
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") 
plt.show() 

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
x=np.arange(0,10)
y=np.arange(11,21)

plt.scatter(x,y,c="r")
plt.xlabel( 'X axis')
plt.ylabel('Y axis')
plt.title( 'Graph in 2D')
plt.savefig('Test.png')

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() 

import matplotlib.pyplot as pit
import numpy as np
x=[1,2,3,4,5]
y1=[10, 12, 14, 16, 18]
y2=[5,7,9, 11, 13]
y3=[2,4,6,8,10]
pit.fill_between(x, y1, color='maroon')
plt.fill_between(x, y2, color='orange') 
plt.plot(x, y1, color='red')
plt.plot(x, y2, color='black')
plt.legend(['y1','y2'])
plt.show() 

import matplotlib.pyplot as plt

height = [10, 24, 36, 40, 5]
names = ['one','two"', 'three’', 'four', 'five']

c1 =['chocolate', 'darkgreen']
c2 =['skyblue', 'blue'] 
plt.bar(names, height, width=0.8, color=c1)

plt.xlabel('x - axis')

plt.ylabel('y - axis')

plt.title('Bar Chart')

plt.show() 

x = [2,8,10]
y = [11,16,9]
x2 = [3,9,11]
y2 = [6,15,7] 
plt.bar(x, y,color='chocolate')
plt.bar(x2, y2, color = 'darkgreen')
plt.title('Bar graph')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.show() 

import matplotlib.pyplot as plt

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='darkgreen' , histtype='bar', rwidth=0.8)

plt.xlabel('age') 

plt.ylabel('No. of people')

plt.title('My histogram')

plt.show() 

import matplotlib.pyplot as plt
import numpy as np 

np.random.seed(0) 
data = np.random.normal(loc=0, scale=1, size=100)
data 

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

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')
plt.show() 

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()