If you want to use mpl_toolkits and make your hands dirty, this answer would be a good read. This answer for using the subplot parameters to achieve a certain aspect. If the image does not have equal limits (is not square), one still needs to divide by the aspect of the image: asp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim())Īsp /= np.abs(np.diff(ax1.get_xlim()) / np.diff(ax1.get_ylim())) Or you may set the aspect of the line plot depending on its axis limits such that it gets the same size as the image (in case the image has equal x and y sizes) asp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim())Īsp = np.diff(ax2.get_xlim()) / np.diff(ax2.get_ylim()) You may use automatic aspect on the image ax.imshow(z, aspect="auto") It's not perfectly clear what your desired outcome is. I am using Python 2.7 and matplotlib 2.0.0 Is there a way to make imshow and a scatter plot appear the same size in a figure without manually changing the axes sizes? I have also tried to adjust the subplot sizes manually by using: fig = plt.figure()īy trial and error I can get the two subplots to the correct size, though any change in the overall figure size will mean that the subplots will no longer be the same size. By using Figsize, you can change both of these values. This parameter is governed under the rcParams attribute of the figure. This size can be changed by using the Figsize method of the respective figure. I have tried using gridspec as shown in this answer: fig=plt.figure()īut this gives the same result. In Matplotlib all the diagrams are created at a default size of 6.4 x 4.8 inches. How can I get the two sublpots to have the same height? (and width I suppose) Small example code is shown below: import matplotlib.pyplot as plt When trying this, the image appears smaller than the scatter plot. The first Axes is not cleared with the cla() function.I am trying to plot an image (using matplotlib.imshow) and a scatter plot within the same figure. A Figure containing two Axes in different subplots. Only the second Axes is cleared with the cla() function: import matplotlib.pyplot as pltįigure 3. The following example creates a Figure and then plots two Axes in two different subplots. The elements within the Axes are not dropped, however the current Axes can be redrawn with commands in the same script. The () function clears the current Axes state without closing the Axes. An Axes has at least an X-Axis and a Y-Axis, and may have a Z-Axis. It is the data plotting area in which most of the elements in a plot are located, including Axis, Tick, Line2D, Text, etc., and it also sets the coordinates. A Figure with the same elements cleared with the clf() function:Īxes is a container class within the top-level Figure container. A Figure not cleared with the clf() function:įigure 2. The following example shows how to create two identical Figures simultaneously, and then apply the clf() function only to Figure 2: import matplotlib.pyplot as pltįigure 1. You can use the () function to clear the current Figure’s state. Figure includes everything visualized in a plot, including one or more Axes. Used to clear the current Axes state without closing it.įigure is the top-level container object in a matplotlib plot. Used to clear the current Figure’s state without closing it. There are two methods available for this purpose: This article focuses on how to clear a plot by clearing the current Axes and Figure state of a plot, without closing the plot window. Matplotlib’s pyplot API is stateful, which means that it stores the state of objects until a method is encountered that will clear the current state. Matplotlib is a data visualization and graphical plotting library for Python.
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