Matplotlib 3.0 Cookbook

How to do it...

The following code block plots a histogram and saves it with the default parameters, using the bbox_inches='tight' parameter, followed by the addition of pad_inches=1:

1. Set the seed for repeatability and define the figure with figsize:

np.random.seed(19681211)plt.figure(figsize=(6,4))

2. Define the data for a histogram, plot the histogram, and set ylabel:

nd = np.random.normal(25, 5, 10000)plt.hist(nd)plt.ylabel('histogram', labelpad=20)

3. Create a list of all the supported file formats:

file_ext = ['png', 'pdf', 'svg', 'svgz','eps','ps']

4. For each file extension, save the figure in default mode, with the bbox_inches='tight' argument, and with the addition of the pad_inches=1 argument:

for extension in file_ext: print('saving ...