Matplotlib 3.0 Cookbook

How to do it...

The following code block plots a histogram and saves two different dpi parameters for comparison:

1. Set the seed and prepare the data for plotting the histogram:

np.random.seed(19681211)nd = np.random.normal(25, 5, 10000)

2. Define the figure with the size and plot the histogram on it:

plt.figure(figsize=(6,4))plt.hist(nd)

3. Plot grid lines on the plot:

plt.grid()

4. Save the figure in PNG format with 300 DPI, and also display it on the screen:

plt.savefig('histogram_300.png', dpi=300)plt.show()

5. Define another figure with a larger size, plot the histogram, and save it in PNG format with 100 DPI:

plt.figure(figsize=(18,12))plt.hist(nd)plt.grid()plt.savefig('histogram_100.png', dpi=100)plt.show()