✅ Updated with bonus resources and guidesĭata Visualization in Python with Matplotlib and Pandas is a book designed to take absolute beginners to Pandas and Matplotlib, with basic Python knowledge, and allow them to build a strong foundation for advanced work with theses libraries - from simple plots to animated 3D plots with interactive buttons. ✅ Updated regularly for free (latest update in April 2021) ✅ 30-day no-question money-back guarantee Limited time discount: 2-for-1, save 50%! This is done via the bbox_to_anchor argument, which specifies where we want to anchor the legend to: import matplotlib.pyplot as pltĪx.plot(y, color= 'blue', label= 'Sine wave')Īx.plot(z, color= 'black', label= 'Cosine wave') In such cases, you can place the legend outside of the axes, and away from the elements that constitute it. Perhaps, there are many elements going on and the entire box is filled with important data.
Sometimes, it's tricky to place the legend within the border box of a plot. Other values that are accepted are upper left, lower left, upper right, lower right, upper center, lower center, center left and center right.Īdditionally, you can use center to put it in the dead center, or best to place the legend at the "best" free spot so that it doesn't overlap with any of the other elements. Here, we've used the loc argument to specify that we'd like to put the legend in the top right corner.
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