Simple function to get rid of superfluous xticks but retain the ones on the bottom (works in pylab).Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try. Thanks to Sebastian Krieger from matplotlib-users list for this trick. set_xlabel( ' And a shared x label ', fontsize= 14) set_ylabel( ' This is a long label shared among more axes ', fontsize= 14) 21 cx. However, another thing you can label is the line/point/bar/etc that you plot. ylabel ('My ylabel') While fix-matplotlib-ylabel-attributeerror-axessubplot-object-has-no-attribute-ylabel.py Copy to clipboard Download from matplotlib import pyplot as plt plt. get_xticklabels(), visible= False) 19 20 bx. fig, axes plt.subplots(nrows3) for ax in axes: ax.plot(-10, -5, 0, 5. The number order determines the order the subplots appear in the subplotgrid and the order of a-b-c labels. get_xticklabels(), visible= False) 18 pylab. ProPlot assigns unique numbers to subplots. idx specifies the index position of the plot on the grid. ncols specifies the number of columns in the grid, drawn on the figure for subplots. ) In the above syntax, nrows specifies the number of rows in the grid, drawn on the figure for subplots. add_subplot( 3, 1, 3, sharex= ax, sharey= ax) 12 13 ax. The syntax is as follows: (nrows, ncols, idx, label, projection. add_subplot( 3, 1, 2, sharex= ax, sharey= ax) 11 cx = fig. subplots_adjust(** adjustprops) # Tunes the subplot layout 8 9 ax = fig. Also see the attached figure output.ġ import pylab 2 3 figprops = dict( figsize=( 8., 8. errorbar( times300, average300)Īlternatively, you can use the following snippet to have shared ylabels on your subplots. get_position() 20 position = 0.15 21 position = position + 0.03 22 bottomSubplot. This is a relatively simple algorithm that adjusts the subplot parameters so that decorations do not overlap. subplot( 2, 1, 2) 19 position = bottomSubplot. errorbar( times150, average150) 18 bottomSubplot = pylab. get_position() 14 position = 0.15 15 position = position + 0.01 16 topSubplot. subplot( 2, 1, 1) 13 position = topSubplot. ylabel( r' \ textbf ', size= ' medium ') 10 # Create subplots and shift them up and to the right to keep tick labels 11 # from overlapping the axis labels defined above 12 topSubplot = pylab. yticks() 7 # I'm using TeX for typesetting the labels-not necessary 8 pylab.
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