Python Matplotlib Tutorial | Matplotlib Tutorial | Python Tutorial | Python Training | Edureka
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The document is a training guide about Python's data visualization using Matplotlib, covering key topics such as why data visualization is important, its definition, and various types of plots like bar graphs, histograms, scatter plots, and pie charts. It includes basic code examples to create these plots and discusses customization options for graphs. The guide aims to help users interpret data effectively through visual representations.
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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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