See also: Matplotlib API
See also: Matplotlib.pyplot Documentation
See also: Matplotlib Examples
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# 1. Import matplotlib. Import matplotlib.pyplot as plt. Import numpy as np.
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# 2. Use the '%matplotlib inline' magic method. Run matplotlib.style.use('fivethirtyeight')
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# 3. Create a range of x values with np.arange(-10, 10, .5)
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# 4. Write a function that squares your x value. Make a list of y values that is the y = your_function(x).
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# 5. Use plt.plot() with your x and y values to make a line graph
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# 6. Use plt.scatter() with your x and y values to make a scatter graph.
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# 7. Use plt.subplots() and tuple unpacking to get your figure and axes. Assign to fig and ax.
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# 8. Get your axes by plt.gca() (get current axis). Get your figure by plt.gcf() (get current figure).
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# 9. Use your axes to change the x and y limits of the graph. Show the result.
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# 10. Replot your X and Y scatter graph.
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# 10. Use your axes to set the title of the graph, the x axis labels, and the y axis labels.
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# 11. Plot a second line on the graph of y=1.
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# 12. Save your graph using your figure's savefig() method to the data folder.