Matplotlib 3.0 Cookbook

How to do it...

The following code block plots a histogram and saves it in all Matplotlib-supported formats:

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

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

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

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

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

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

4. Save the figure to each of these file formats using a for loop, and display the figure on the screen:

for extension in file_ext:    print('saving Histogram.%s ' % (extension))    plt.savefig('Histogram.%s' % (extension), dpi=300)plt.show()