5. Plotting Charts with Matplotlib - IPython Notebook Tutorial

Plotting charts with Matplotlib using matplotlib.pyplot. Best practices for creating charts and controlling the line style and color. Adding figure and subplot using plt.figure() and fig.add_subplot(111). Adding markers for your data-points and controlling their style, color and size. Working with chart title using axes. Finally using plt.imshow() to visualize a 2-dimensional array. This shows the array as an image and using color maps to control the visualization. This is open source, Github/NBViwer: htt

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