Matplotlib 3.0 Cookbook

How to do it...

The following code displays two plots for the same input data, but the first one uses default settings so it displays a full range of data on both the x and the y axes, whereas the second plot limits both the x and y axes range:

1. Prepare the data for the graph:

x = np.linspace(-50,50,500)y = x**2 + np.cos(x)*100

2. Define a function to format numeric data before printing on the plot:

def Num_Format(x, pos):    """The two arguments are the number and tick position"""    if x >= 1e6:        string = '${:1.1f}M'.format(x*1e-6)    else:        string = '${:1.0f}K'.format(x*1e-3)    return string

3. Apply the function defined earlier to the formatter, and define the figure with size and layout:

formatter = FuncFormatter(Num_Format)fig, axs = plt.subplots(1,2, ...