Matplot library Python Examples | Line chart | Bar Chart | Scatter Plot | Area Plot | Histogram | Pie chart

Matplotlib is the most popular data visualization library in Python. It allows us to create figures and plots, and makes it very easy to produce static raster or vector files. Matplotlib library Python Examples 

1. Line Chart
2. Scatter Plot
3. Pie Chart
4. Bar Chart
5. Histogram Plot
6. Area Plot

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1. Line chart

PROGRAM 1

import matplotlib.pyplot as plt

plt.plot([1,2,3,4],[5,4,3,2])

plt.show()

OUTPUT 

Line Chart Python Example

PROGRAM 1

import matplotlib.pyplot as plt

years = [2010, 2011,2012,2013,2014]

production= [300,400,840,860,900]

plt.plot(years,production)

plt.title('Production of grains over years')

plt.xlabel('years')

plt.ylabel('production')

plt.show()

OUTPUT 

Line Chart Python Example

PROGRAM 2

import matplotlib.pyplot as plt

years = [1,2,3,4,5]

production= [20,30,40,60,80]

plt.plot(years,production)

plt.title('Production of grains over years')

plt.xlabel('years')

plt.ylabel('production')

plt.xticks([10,20,30,40,50])

plt.yticks([0,2,4,6,8])

plt.show()

OUTPUT 

Line Chart Python Example

2. Scatter Plot

PROGRAM 1

import matplotlib.pyplot as plt

years = [2010, 2011,2012,2013,2014]

production= [300,400,840,860,900]

plt.scatter(years,production)

plt.title('Production of grains over years')

plt.xlabel('years')

plt.ylabel('production')

plt.show()

OUTPUT 

Scatter Plot  Python Example

PROGRAM 2 

import matplotlib.pyplot as plt

years = [1,2,3,4,5]

production= [20,30,40,60,80]

plt.scatter(years,production)

plt.title('Production of grains over years')

plt.xlabel('years')

plt.ylabel('production')

plt.xticks([10,20,30,40,50])

plt.yticks([0,2,4,6,8])

plt.show()

OUTPUT 

Scatter Plot Python Example

 3. Pie Chart

PROGRAM 

import matplotlib.pyplot as plt

Division = [1,2,3,4,5]

India =[7,8,6,11,8]

Pakistan = [2,3,4,3,5]

Bangladesh =[7,8,7,6,2]

China = [8,5,7,8,13]

slices = [9,2,1,13]

activities = ['India','Pakistan','Bangladesh','China']

cols = ['m','b','r','c']

plt.pie(slices,

  labels=activities,

  colors=cols,

  startangle=90,

  shadow= True,

  explode=(0,0.1,0,0),

  autopct='%1.1f%%')

plt.title('Pie Plot Example')

plt.show()

OUTPUT 

Pie Chart Python Example

4. Bar Chart

PROGRAM 

import matplotlib.pyplot as plt

product=["shampoo","soap","conditiner","brush"]

sale= [204,340,402,620]

plt.bar(product,sale)

plt.title('Sales of Products')

plt.xlabel('proucts')

plt.ylabel('sales')

plt.show()

OUTPUT 

Bar Chart Python Example

5. Histogram

PROGRAM  

import matplotlib.pyplot as plt

population_age = [20,65,72,43,31,62,34,42,42,4,52,102,95,85,55,110,120,70,65,55,111,115,80,75,65,54,44,43,42,48]

percent = [0,10,20,30,40,50,60,70,80,90,100]

plt.hist(population_age, percent, histtype='bar', rwidth=0.8)

plt.xlabel('age groups')

plt.ylabel('Percentage')

plt.title('Histogram Example')

plt.show()

OUTPUT 

Histogram Python Example

6. Area Plot

PROGRAM  

import matplotlib.pyplot as plt

n = [1,2,3,4,5]

a1 =[7,8,9,11,10]

a2 = [2,6,4,3,8]

a3 =[7,8,7,2,2]

a4 = [8,5,7,8,13]

plt.plot([],[],color='c', label='a1', linewidth=5)

plt.plot([],[],color='k', label='a2', linewidth=5)

plt.plot([],[],color='r', label='a3', linewidth=5)

plt.plot([],[],color='m', label='a4', linewidth=5)

plt.stackplot(n, a1,a2,a3,a4, colors=['c','k','r','m'])

plt.xlabel('x')

plt.ylabel('y')

plt.title('Stack Plot')

plt.legend()

plt.show()

OUTPUT 

Area Plot Python Example 

PROGRAM from matplotlib import pyplot as plt
years=[2014, 2015, 2016, 2017, 2018]
Brazil=[200, 500, 550, 600, 700]
America=[100,200,300,400,500]
plt.plot(years, Brazil)
plt.show()
plt.plot(years, America)
plt.show()
y=[1, 2, 3]
plt.plot(y)
plt.ylabel("population")
plt.xlabel("year")
plt.show()

PROGRAM
from matplotlib import pyplot as plt
years=[2010, 2011, 2012, 2013, 2014]
Mumbai=[290, 400, 650, 600, 790]
Delhi=[150,290,350,420,570]
plt.bar(years,Mumbai)
plt.bar(years,Delhi)

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