While creating Python visualizations, you will often encounter situations where your subplots have axis labels that overlap one another. title ( 'Citric Acid plotted against Fixed Acidity' ) title ( 'Total Sulfur Dioxide plotted against Fixed Acidity' ) When using the matplotlib object-oriented interface, the correct commands to use are ax.setxlabel and ax.setylabel. title ( 'Density plotted against Fixed Acidity' ) show () Notice how the subplots overlap each other a bit. 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). title ( 'Alcohol plotted against Fixed Acidity' ) Use Matplotlib addsubplot () in for Loop The simplest approach to display multiple images in a figure might be displaying every image using addsubplot () to initiate subplot and imshow () method to display an image inside a for loop. Consider the following arrangement of 4 subplots in 2 columns and 2 rows: import matplotlib.pyplot as plt define subplots fig, ax plt. When using the matplotlib object-oriented interface, the correct commands to use are ax.setxlabel and ax.setylabel. title ( 'Quality plotted against Fixed Acidity' ) title ( 'Chlorides plotted against Fixed Acidity' ) When it reaches the end of a row, it will move down to the first entry of the next row.Ī few examples of selecting specific subplots within a plot grid are shown below: It starts at 1 and moves through each row of the plot grid one-by-one. The nrows and ncols arguments are relatively straightforward, but the index argument may require some explanation.
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