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Commitc3a17ab

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DOC: add colorbar example
1 parent4f58efa commitc3a17ab

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"""
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=================
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Placing Colorbars
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=================
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Colorbars indicate the quantitative extent of image data. Placing in
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a figure is non-trivial because room needs to be made for them.
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The simplest case is just attaching a colorbar to each axes:
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"""
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importmatplotlib.pyplotasplt
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importnumpyasnp
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fig,axs=plt.subplots(2,2)
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cm= ['RdBu_r','viridis']
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forcolinrange(2):
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forrowinrange(2):
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ax=axs[row,col]
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pcm=ax.pcolormesh(np.random.random((20,20))* (col+1),
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cmap=cm[col])
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fig.colorbar(pcm,ax=ax)
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plt.show()
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######################################################################
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# The first column has the same type of data in both rows, so it may
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# be desirable to combine the colorbar which we do by calling
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# `.Figure.colorbar` with a list of axes instead of a single axes.
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fig,axs=plt.subplots(2,2)
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cm= ['RdBu_r','viridis']
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forcolinrange(2):
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forrowinrange(2):
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ax=axs[row,col]
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pcm=ax.pcolormesh(np.random.random((20,20))* (col+1),
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cmap=cm[col])
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fig.colorbar(pcm,ax=axs[:,col],shrink=0.6)
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plt.show()
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######################################################################
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# Relatively complicated colorbar layouts are possible using this
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# paradigm. Note that this example works far better with
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# ``constrained_layout=True``
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fig,axs=plt.subplots(3,3,constrained_layout=True)
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foraxinaxs.flat:
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pcm=ax.pcolormesh(np.random.random((20,20)))
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fig.colorbar(pcm,ax=axs[0, :2],shrink=0.6,location='bottom')
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fig.colorbar(pcm,ax=[axs[0,2]],location='bottom')
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fig.colorbar(pcm,ax=axs[1:, :],location='right',shrink=0.6)
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fig.colorbar(pcm,ax=[axs[2,1]],location='left')
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plt.show()

‎tutorials/intermediate/constrainedlayout_guide.py

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@@ -121,7 +121,7 @@ def example_plot(ax, fontsize=12, nodec=False):
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# For the `~.axes.Axes.pcolormesh` kwargs (``pc_kwargs``) we use a
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# dictionary. Below we will assign one colorbar to a number of axes each
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# containing a `~.cm.ScalarMappable`; specifying the norm and colormap
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#ensuresthe colorbar is accurate for all the axes.
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#ensures the colorbar is accurate for all the axes.
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arr=np.arange(100).reshape((10,10))
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norm=mcolors.Normalize(vmin=0.,vmax=100.)
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#
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# ``constrained_layout`` usually adjusts the axes positions on each draw
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# of the figure. If you want to get the spacing provided by
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# ``constrained_layout`` butthennot have it update, then do the initial
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# ``constrained_layout`` but not have it update, then do the initial
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# draw and then call ``fig.set_constrained_layout(False)``.
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# This is potentially useful for animations where the tick labels may
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# change length.

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