Python Matplotlib Tutorial | Matplotlib Tutorial | Python Tutorial | Python Training | Edureka
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This Edureka Python Matplotlib tutorial (Python Tutorial Blog: https://goo.gl/wd28Zr) explains what is data visualization and how to perform data visualization using Matplotlib. It also explains how to modify your plot and how to plot various types of graphs. Below are the topics covered in this tutorial: 1. Why Data Visualization? 2. What Is Data Visualization? 3. Various Types Of Plots 4. What Is Matplotlib? 6. How To Use Matplotlib?
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Getting Started
Here's some basic code to generate one of the most simple graph.
from matplotlib import pyplot as plt
#Plotting to our canvas
plt.plot([1,2,3],[4,5,1])
#Showing what we plotted
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-13-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Getting Started
Lets add title and labels to our graph
from matplotlib import pyplot as plt
x = [5,8,10]
y = [12,16,6]
plt.plot(x,y)
plt.title('Info')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.show()
Title
Labels](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-14-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Adding Style To Our Graph
from matplotlib import pyplot as plt
from matplotlib import style
style.use('ggplot')
x = [5,8,10]
y = [12,16,6]
x2 = [6,9,11]
y2 = [6,15,7]
plt.plot(x,y,'g',label='line one', linewidth=5)
plt.plot(x2,y2,'c',label='line two',linewidth=5)
plt.title('Epic Info')
plt.ylabel('Y axis')
plt.xlabel('X axis')
plt.legend()
plt.grid(True,color='k')
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-15-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Bar Graph
import matplotlib.pyplot as plt
plt.bar([1,3,5,7,9],[5,2,7,8,2], label="Example one")
plt.bar([2,4,6,8,10],[8,6,2,5,6], label="Example two", color='g')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Info')
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-16-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Histogram
import matplotlib.pyplot as plt
population_ages =
[22,55,62,45,21,22,34,42,42,4,99,102,110,120,121,122,130,111,115,112,80,75,6
5,54,44,43,42,48]
bins = [0,10,20,30,40,50,60,70,80,90,100,110,120,130]
plt.hist(population_ages, bins, histtype='bar', rwidth=0.8)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Histogram')
plt.legend()
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-17-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Scatter Plot
import matplotlib.pyplot as plt
x = [1,2,3,4,5,6,7,8]
y = [5,2,4,2,1,4,5,2]
plt.scatter(x,y, label='skitscat', color='k)
plt.xlabel('x')
plt.ylabel('y')
plt.title('Scatter Plot')
plt.legend()
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-18-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Stack Plot
import matplotlib.pyplot as plt
days = [1,2,3,4,5]
sleeping = [7,8,6,11,7]
eating = [2,3,4,3,2]
working = [7,8,7,2,2]
playing = [8,5,7,8,13]
plt.plot([],[],color='m', label='Sleeping', linewidth=5)
plt.plot([],[],color='c', label='Eating', linewidth=5)
plt.plot([],[],color='r', label='Working', linewidth=5)
plt.plot([],[],color='k', label='Playing', linewidth=5)
plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])
plt.xlabel('x')
plt.ylabel('y')
plt.title('Stck Plot')
plt.legend()
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-19-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Pie Chart
import matplotlib.pyplot as plt
slices = [7,2,2,13]
activities = ['sleeping','eating','working','playing']
cols = ['c','m','r','b']
plt.pie(slices,
labels=activities,
colors=cols,
startangle=90,
shadow= True,
explode=(0,0.1,0,0),
autopct='%1.1f%%')
plt.title('Pie Plot')
plt.show()](https://image.slidesharecdn.com/pythonmatplotlib-edureka-170719052138/85/Python-Matplotlib-Tutorial-Matplotlib-Tutorial-Python-Tutorial-Python-Training-Edureka-20-320.jpg)
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- 14. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Getting Started Lets add title and labels to our graph from matplotlib import pyplot as plt x = [5,8,10] y = [12,16,6] plt.plot(x,y) plt.title('Info') plt.ylabel('Y axis') plt.xlabel('X axis') plt.show() Title Labels
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