![]() ![]() It centers the axes inside their grid areas, giving them as much space as possible between themselves and the edges of the figure, assuming you set figsize large enough. ![]() I created a function that creates axes with absolute sizes and acts in most ways like plt.subplots(.), for example by allowing shared y- or x-axes and returning the axes as a shaped numpy array. Plt.savefig(f'-subplots.pdf', bbox_inches='tight', pad_inches=0) If I make the height of the resulting PDFs the same (and thus the axes), the font on 3-subplots.pdf is smaller than that of 2-subplots.pdf.įig, ax = plt.subplots(1, cols, sharey=True, subplot_kw=dict(box_aspect=1)) In the example below the fonts are the same size but the subplots are not. I need each of the 5 subplots to be the exact same size with the exact same font sizes (axis labels, tick labels, etc) in the resulting PDFs. One has two subplots and one has three subplots (in both cases in 1 row). Use case: I am making two separate plots which will be saved as pdfs for an academic paper. My problem is setting the absolute size of the subplots. The remaining 875px will be taken up by your axes (and therefore, your plot).I know how to set the relative size of subplots within a figure using gridspec or subplots_adjust, and I know how to set the size of a figure using figsize.If you have one figure that measures 1000x1000 with one set of axes inside it, that means that you'll have: Since by default left=0.125 and right=0.9, that means that there is a gap of 12.5% of the bounding box that is empty on the left, and a gap of 10% of the bounding box that is empty on the right. You can thing of these as margins, or gaps between the bounding box and the axes. top, or how close to the top of their bounding box they end up at.bottom, or how far away from the bottom of their bounding box they start at.right, or how close to the right side of their bounding box they end up at (larger number means they're closer to the right).left, or how far away from the left side of their bounding box they start at (smaller number means they're closer to the left).Every adjustment ranges between 0 and 1, and they are: Using figure.subplots_adjust(), we can adjust some properties of each subplot. # Adjust the relative sizing of plot elements We can change how many pixels are in one inch with the dpi= keyword argument. This equates to 1000x1000 pixels by default. This gives us a 10x10 (in inches) figure. How to create a custom legend with matplotlibįigure = plt.How to export one image with multiple plots with matplotlib. ![]()
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