In this example, we will plot a sine curve and a hyperbolic sine curve in the same plot with a common x-axis having different y-axis. This is accomplished by the use of twinx() command.
# Plotting tutorials in Python # Adding Multiple plots by twin x axis # Good for plots having different y axis range # Separate axes and figure objects # replicate axes object and plot curves # use axes to set attributes # Note: # Grid for second curve unsuccessful : let me know if you find it! :( import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 2.0*np.pi, 101) y = np.sin(x) z = np.sinh(x) # separate the figure object and axes object # from the plotting object fig, ax1 = plt.subplots() # Duplicate the axes with a different y axis # and the same x axis ax2 = ax1.twinx() # ax2 and ax1 will have common x axis and different y axis # plot the curves on axes 1, and 2, and get the curve handles curve1, = ax1.plot(x, y, label="sin", color='r') curve2, = ax2.plot(x, z, label="sinh", color='b') # Make a curves list to access the parameters in the curves curves = [curve1, curve2] # add legend via axes 1 or axes 2 object. # one command is usually sufficient # ax1.legend() # will not display the legend of ax2 # ax2.legend() # will not display the legend of ax1 ax1.legend(curves, [curve.get_label() for curve in curves]) # ax2.legend(curves, [curve.get_label() for curve in curves]) # also valid # Global figure properties plt.title("Plot of sine and hyperbolic sine") plt.show()