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Plotting with matplotlib in Python

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!!!! Source Code
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!!!! Tutorial Source Code
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!!!! Source Code

 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')
 plt.show()

If using the iPython notebook, exclude the command '''plt.show()''' and include '''%matplotlib inline''' before loading matplotlib.pyplot as shown below.

 import numpy as np
 x = np.linspace(0,6,100)
 y = np.sin(x)
 z = np.cos(x)

 %matplotlib inline
 import matplotlib.pyplot as plt
 plt.plot(x,y,'r--',linewidth=3)
 plt.plot(x,z,'k:',linewidth=2)
 plt.legend(['y','z'])
 plt.xlabel('x')
 plt.ylabel('values')
 plt.xlim([0, 3])
 plt.ylim([-1.5, 1.5])
 plt.savefig('myFigure.png')
 plt.savefig('myFigure.eps')

!!!! Additional Tutorials
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<iframe width="560" height="315" src="https://www.youtube.com/embed/abL-fDq4p_o" frameborder="0" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/xRzuzT2Kmsw" frameborder="0" allowfullscreen></iframe>
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(:title Plotting with matplotlib in Python:)
(:keywords big data, data analysis, Python programming, matplotlib, scatter plot, graph, university course:)
(:description Plot data with Python and export for a presentation or report:)

Effective plots are important to synthesize the information into relevant and persuasive information. The following tutorial details some of the common data plotting functions within Python.

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/abL-fDq4p_o" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

This tutorial can also be completed with scripting programming languages like [[Main/ExcelScatterPlots|Excel]] and [[Main/MatlabPlots|MATLAB]]. Click on the appropriate link for additional information and source code.

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