Matplotlib is a mathematical plotting library for Python that provides a variety of different plotting functionality.
Matplotlib provides two distinct methods for plotting, though they are interchangable for the most part:
pyplotinterface, direct and simple-to-use interface that allows plotting of complex graphs in a MATLAB-like style.
Below is an example of using the
pyplot interface to plot some generated data:
import matplotlib.pyplot as plt # Generate some data for plotting. x = [0, 1, 2, 3, 4, 5, 6] y = [i**2 for i in x] # Plot the data x, y with some keyword arguments that control the plot style. # Use two different plot commands to plot both points (scatter) and a line (plot). plt.scatter(x, y, c='blue', marker='x', s=100) # Create blue markers of shape "x" and size 100 plt.plot(x, y, color='red', linewidth=2) # Create a red line with linewidth 2. # Add some text to the axes and a title. plt.xlabel('x data') plt.ylabel('y data') plt.title('An example plot') # Generate the plot and show to the user. plt.show()
plt.show() is known to be problematic in some environments due to running
matplotlib.pyplot in interactive mode, and if so, the blocking behaviour can be overridden explicitly by passing in an optional argument,
plt.show(block=True), to alleviate the issue.