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Python: Data Analytics and Visualization
book

Python: Data Analytics and Visualization

by Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman
March 2017
Beginner to intermediate
866 pages
18h 4m
English
Packt Publishing
Content preview from Python: Data Analytics and Visualization

Legends and annotations

Legends are an important element that is used to identify the plot elements in a figure. The easiest way to show a legend inside a figure is to use the label argument of the plot function, and show the labels by calling the plt.legend() method:

>>> x = np.linspace(0, 1, 20) 
>>> y1 = np.sin(x)
>>> y2 = np.cos(x)
>>> y3 = np.tan(x)
>>> plt.plot(x, y1, 'c', label='y=sin(x)')
>>> plt.plot(x, y2, 'y', label='y=cos(x)')
>>> plt.plot(x, y3, 'r', label='y=tan(x)')
>>> plt.lengend(loc='upper left')
>>> plt.show()

The output for the preceding command as follows:

Legends and annotations

The loc argument in the legend command is used to figure out the position ...

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Publisher Resources

ISBN: 9781788290098Supplemental ContentPurchase Link