![]() Must set the parameter adjustable to “box-forced” in order Usually, when we plot two subplots in a 1*2 layout, they have the (red numbers in each plot denote their axes aspect ratio) When we have shared x axis The following images are plotted using the same data but with ax.set_aspect( abs((xright -xleft) /(ybottom -ytop)) *ratio) # or we can utilise the get_data_ratio method which is more concise # ax.set_aspect(1.0/ax.get_data_ratio()*ratio) plt.show() Import matplotlib.pyplot as plt import numpy as np ( 'ggplot') x = np.linspace( - 5, 5, 100) y1 = np.exp( 0.8 *x) y2 = np.sin(x) fig = plt.figure() ax = fig.add_subplot( 111) ax.plot(x, y1) ax.plot(x, y2) ratio = 0.3 xleft, xright = ax.get_xlim() ybottom, ytop = ax.get_ylim() # the abs method is used to make sure that all numbers are positive # because x and y axis of an axes maybe inversed. Want using the following code: Click to show the code. Now we are ready to set the display aspect ratio to whatever value we \(data_h\) and \(data_w\) in the above equation can beĮasily calculated once we get the x and y axis limit using get_xlim() and get_ylim()methods of anĪxes class object. \(data_h\) and \(data_w\), we have the following ![]() If we denote the height and width in the data coordinate system as Suppose theĪxes height and width of the output plot are denoted as \(disp_h\) and \(disp_w\), then the desired display aspect Given the desired aspect ratio in display coordinate system. Now that we know this distinction, the issue boils down toĬalculating the right aspect ratio to use in data coordinate system ![]() System in x and y axis, they have the same length in display coordinate You can easily verify that for the same interval in data coordinate Ratio equals 1, then in the display coordinate, the same length in dataĬoordinate have the same displayed length. Ratio in the set_aspect() method refers to the aspect ratio Physical length of axes height divided by its width. Set is the aspect ratio in the display coordinate system, i.e., the Usually, these coordinate systems will work under the hood and youĬan hardly notice their existence. This is the pixel coordinate system of theĭisplay (0,0) is the bottom left of the display, and (width, height) is Is bottom left of the figure, and (1,1) is top right of the figure. The coordinate system of the Figure (0,0) Is bottom left of the axes, and (1,1) is top right of the axes. Is a brief description: Coordinate system Systems in Matplotlib, which you are dealing with implicitly. But what has gone wrong? It took me a lot of efforts to findīefore we get into aspect ratio, we shouldįirst know that there are four different coordinate In the above script, the rendered output image becomesĪpparently, this is not what I want: the new output image is even
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