![]() ![]() Of course, with only 3 axes, you don't really need the loop, but I'm sure you can adapt this to fit your needs. How to avoid the overlapping between 'suptitle' and 'subplots' when using python matplotlib Ask Question Asked 3 years, 11 months ago Modified 10 months ago Viewed 5k times 6 I am trying to plot a matrix to compare some data. My Code: fig (figsize (5,12)) cols 'Samplesize','Median','Employed','Fulltime','ShareWomen','Unemploymentrate', 'Men', 'Women' for i in range (0,8): axfig.addsubplot (8,1,i+1) axrecentgrads cols i.plot (kind'hist') What actually happened: Screen Shot at 12.21.24 PM1036×582 23. ![]() What I do instead is create each axes individually, which allows a lot more control over each of them.īelow is a rather general example, which illustrates how to generate an arbitrary grid of axes with much finer control over their placement than subplot allows. The subplot function deletes existing axes that overlap new axes. matplotlib doesn't check whether the labels overlap. Matplotlib subplots example showing how to avoid overlap between suptitle and tightlayout Raw bitplot.py from math import ceil from matplotlib import pyplot as plt plotcount 8 columncount 2 rowcount int (ceil (plotcount/columncount)) fig, subplotaxes plt. To overlay axes, use the axes command instead. I never use subplot when I want to save images (eg. Data visualization with no inter-subplot spacing You may notice that the axis labels overlap. You can see all the available methods for an axes instance in the api docs, here. Likewise, to set a title, you need ax.settitle. (Compare these to plt.xlabel, etc., for the state-machine interface). I'm not sure why your labels are blurry, but I can help with the overlap. When using the matplotlib object-oriented interface, the correct commands to use are ax.setxlabel and ax.setylabel. ![]()
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