After this, we define data using arange() method.In the above example, we firstly import matplotlib.pyplot and numpy library for data visualization.The syntax to create a bar plot is as given below: (x, height)įig, ax = plt.subplots(figsize = (10, 5))
#Twin mirror plot how to#
Firstly you have to know how to create a bar plot. Here we are going to create a bar plot with two y-axes in Python matplotlib. Here we set the view limits of both the y-axis from -200 to 200.Now, to make both the sclaes of the y-axes same use set_ylim() method.By using the ax1.plot() and ax.2plot() method we plot a graph.After this we define data by using arange(), tan(), and exp() method of numpy.Let’s see an example where we have the same scale on the y-axis: # Import Library ymin, ymax: It is an error to pass both ymin and bottom or ymax and top.emit: used to notify observers of limit change.top: specify top ylim in data coordinates.bottom: specify bottom ylim in data coordinates.The parameters used above are outlined below: The syntax to set view limits of y-axis: _ylim(bottom=None, top=None, emit= True, auto=False, ymin=None, ymax=None) Now, what do we have to do if we want to create two y-axes with the same scale? For this, we have to set the view limits of the y-axis. Hence, both axes have different scales.Īs we study above to create two y-axes we use the twinx() method, but it creates axes with different scales. Here you observed that the range of the Y1-axis is (-200 – 0) and the range of the Y2-axis is (0 – 2.5). Next, we use ax2.plot() method to plot a graph of exponent function.To add twin axes we use the twinx() method.Then by using the ax1.plot() method we plot a graph of the tan function.After this we define data by using arrange(), tan(), and exp() method of numpy.In the above example, we import matplotlib.pypot and numpy as a library.Plot_2 = ax2.plot(x, data_2, color = 'green')Īx2.tick_params(axis ='y', labelcolor = 'green') Plot_1 = ax1.plot(x, data_1, color = 'black')Īx1.tick_params(axis ='y', labelcolor = 'black')Īx2.set_ylabel('Y2-axis', color = 'green') Let’s see an example of two y-axes with different left and right scales: # Import LibraryĪx1.set_ylabel('Y1-axis', color = 'black') It simply means that two plots on the same axes with different y-axes or left and right scales.īy using the Axes.twinx() method we can generate two different scales. Here we are going to learn how to plot two y-axes with different scales in Matplotlib. Python plot multiple lines using Matplotlib.plt.legend() method is used to add legend to the plot.After this, we use twinx() method is used to create two y-axis.Then we plot data by using plot() method and pass label as an argument to define legends.Next we define, data using arrange(), sin(), and cos() method.Plot_2 = ax2.plot(x, data_2, color = 'blue', label = 'Cos x') Plot_1 = ax1.plot(x, data_1, color = 'red', label='Sin x') Let’s see an example to better understand the concept: # Import Library In matplotlib, by using the plt.legend() method we can add legends to the plot. twinx() method is used to create two y-axis.
![twin mirror plot twin mirror plot](https://3.bp.blogspot.com/-QAC18sEqPjk/Xnz29LxxmUI/AAAAAAAADKs/VkN59aE6PoskmKovLnGRGCou1GqaWapYgCNcBGAsYHQ/w1200-h630-p-k-no-nu/Mirror%2BTwin%2BCities%2B%25282021%2529.jpg)
![twin mirror plot twin mirror plot](https://blog.swim.ai/hs-fs/hubfs/Blog%20image%20archives/Digital%20Twin_No%20URL.jpg)
In matplotlib, the twinx() function is used to create dual axes.
![twin mirror plot twin mirror plot](https://r-u-indy.com/assets/series/083f5b16dd00afe2870aba58c790ba66.jpg)
When we need a quick analysis, at that time we create a single graph with two data variables with different scales. In this section, we learn about how to plot a graph with two y-axes in matplotlib in Python. Matplotlib two y axis grid Matplotlib two y axes