Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
Sample Code
# sample code import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) plt.show() |
Output:
matplotlib.pyplot.twinx() Function
The twinx() function in pyplot module of matplotlib library is used to make and return a second axes that shares the x-axis.
Syntax:
matplotlib.pyplot.twinx(ax=None)Parameters: This method does not accepts any parameters.
Returns: This returns the second axes that shares the x-axis
Below examples illustrate the matplotlib.pyplot.twinx() function in matplotlib.pyplot:
Example #1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np def GFG1(temp): return (5. / 9.) * (temp - 32) def GFG2(ax1): y1, y2 = ax1.get_ylim() ax_twin .set_ylim(GFG1(y1), GFG1(y2)) ax_twin .figure.canvas.draw() fig, ax1 = plt.subplots() ax_twin = ax1.twinx() ax1.callbacks.connect("ylim_changed", GFG2) ax1.plot(np.linspace(0, 120, 100)) ax1.set_xlim(30, 100) ax1.set_ylabel('Fahrenheit') ax_twin .set_ylabel('Celsius') fig.suptitle('matplotlib.pyplot.twinx() function \ Example\n\n', fontweight ="bold") plt.show() |
Output:
Example #2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt # Create some mock data t = np.arange(0.01, 20.0, 0.001) data1 = np.exp(t) data2 = np.sin(0.3 * np.pi * t) fig, ax1 = plt.subplots() color = 'tab:blue'ax1.set_xlabel('time (s)') ax1.set_ylabel('exp', color = color) ax1.plot(t, data1, color = color) ax1.tick_params(axis ='y', labelcolor = color) ax2 = ax1.twinx() color = 'tab:green'ax2.set_ylabel('sin', color = color) ax2.plot(t, data2, color = color) ax2.tick_params(axis ='y', labelcolor = color) fig.suptitle('matplotlib.pyplot.twinx() function \ Example\n\n', fontweight ="bold") plt.show() |
Output:
