![]() At this stage, we need to change the size of the figure accordingly to eliminate the blank space on the figure container. In other words, first I create a figure and an axes on it, and then I change the size of the axes (by changing aspect ratio for example), which in general will leave a portion of the figure container empty. fig, axs plt. I found adding the subplots at once looked better, i.e. import matplotlib.pyplot as plt fig, axes plt.subplots (nrows2, ncols1,figsize (6,3)) x 1,2,3,4,5 y x2 for x in x axes 0.plot (x,y) axes 1.plot (x,y) plt.tightlayout () plt.show () And this is how to set the size of a figure in matplotlib with Python. See this question Improve subplot size/spacing with many subplots in matplotlib. So my question is: Could you suggest a way to accommodate the size of the figure to the size of the axes with arbitrary aspect ratio? The following code below sets the size of subplots in matplotlib. puts it, the key is to change the size of the figure container. What I wanted is actually setting the aspect ratio to any customized value and eliminating the white space at the same time. setfigheight on the object returned by plt.subplots (), or set both with f.setsizeinches (w, h): f.setfigheight (15) f.setfigwidth (15) Alternatively, when using. Tight_layout eliminates some of the margin, but not all of the margins. subplots_adjust does not work as expected. 3 Answers Sorted by: 54 See the grid-spec tutorial: Example code: import matplotlib.pyplot as plt import idspec as gridspec f plt.figure () gs gridspec.GridSpec (1, 2,widthratios 2,1) ax1 plt.subplot (gs 0) ax2 plt.subplot (gs 1) plt. I don't know how to eliminate the noticeable margins. To change font.size use plt.rc(font.The following code gives me a plot with significant margins above and below the figure. 'medium', then the legend text will scale with the global font.size in rcParams. This means you can set your legend fontsize at the beginning of your code, and not worry about setting it for each individual legend. import matplotlib.pyplot as plt ax plt.subplot (111) box ax.getposition () ax.setposition ( box.x0, box.y0, box.width 1.1, box.height 1.1) Share. With this method you set the default legend fontsize, and all legends will automatically use that unless you specify otherwise using method 1. setposition () can be used to change width and height of your axis. To change the size of subplots in Matplotlib, use the plt.subplots() method with the figsize parameter (e.g. Plt.rc('legend',fontsize='medium') # using a named size For subplots, this can be done by adjusting the subplot params (Move the edge of an axes to make. Other sniplets (not sure about these ones, I just wanted to provide the other parameters) pyplot. Unset parameters are left unmodified initial values are given by rcParams''. Method 2: specify the fontsize in rcParams (convenient) plt.rc('legend',fontsize=20) # using a size in points To prevent this, the location of axes needs to be adjusted. Note that the pure chart size of x will be 'figure.xsize - left margin - right margin' and the pure chart size of y will be 'figure.ysize - bottom margin - top margin' in inches. subplotsadjust (left None, bottom None, right None, top None, wspace None, hspace None) source Adjust the subplot layout parameters. (Note: listed the available named fontsizes in his answer) However, you will have to type everything manually each time you create a legend. ![]() With this method you can set the fontsize for each legend at creation (allowing you to have multiple legends with different fontsizes). Plt.legend(fontsize="x-large") # using a named size Method 1: specify the fontsize when calling legend (repetitive) plt.legend(fontsize=20) # using a size in points
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