Python Language
- Getting started with Python Language
- Awesome Book
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- A Simple Plot in Matplotlib
- Adding more features to a simple plot : axis labels, title, axis ticks, grid, and legend
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- Making multiple Plots in the same figure using plot superimposition with separate plot commands
- Plots with Common X-axis but different Y-axis : Using twinx()
- Plots with common Y-axis and different X-axis using twiny()
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Python Language Plotting with Matplotlib Plots with Common X-axis but different Y-axis : Using twinx()
Example
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()
