![]() Left = 0.125 # the left side of the subplots of the figure Subplots_adjust(left=None, bottom=None, right=None, top=None, The plt.subplots_adjust method: def subplots_adjust(*args, **kwargs): See the what’s new entry and the Constrained Layout Guide Method 5 import matplotlib.pyplot as plt Hence it needs to be activated before or during subplot creation, such as figure(constrained_layout=True) or subplots(constrained_layout=True).įig, axes = plt.subplots(4,4, constrained_layout=True)Ĭonstrained_layout may as well be set via rcParams plt.rcParams = True In contrast to tight_layout, which may be called any time in the code for a single optimized layout, constrained_layout is a property, which may be active and will optimze the layout before every drawing step. Similar to tight_layout matplotlib now (as of version 2.2) provides constrained_layout. What I’ve uploaded here isn’t the most elegant piece of code, but you can see how the hspace works. Setting it to something very close to zero however seems to force them to line up. When I use space = None, there is still white space between each plot. I found that subplots_adjust(hspace = 0.001) is what ended up working for me. The actual defaults are controlled by the rc file Method 3 ![]() Hspace = 0.2 # the amount of height reserved for white space between subplots Wspace = 0.2 # the amount of width reserved for blank space between subplots Top = 0.9 # the top of the subplots of the figure Right = 0.9 # the right side of the subplots of the figureīottom = 0.1 # the bottom of the subplots of the figure The parameter meanings (and suggested defaults) are: left = 0.125 # the left side of the subplots of the figure You can use plt.subplots_adjust to change the spacing between the subplots (source)Ĭall signature: subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) Method 1Īs a quick example: import matplotlib.pyplot as pltįig, axes = plt.subplots(nrows=4, ncols=4)įig.tight_layout() # Or equivalently, "plt.tight_layout()" We have many solutions to this problem, But we recommend you to use the first method because it is tested & true method that will 100% work for you. I know you bored from this bug, So we are here to help you! Take a deep breath and look at the explanation of your problem. Titles, x_lists, y_lists = my_other_module.get_data() My code currently looks like import matplotlib.pyplot as plt No matter how big I allow the figure to be, the subplots always seem to overlap. The result will be saved using figsave and viewed on a webpage, so I don’t care how tall the final image is as long as the subplots are spaced so they don’t overlap. I need to generate a whole bunch of vertically-stacked plots in matplotlib. Very similar to this question but with the difference that my figure can be as large as it needs to be. All we need is an easy explanation of the problem, so here it is.
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