Jun 8, 2025 · May 24, 2025 · May 24, 2025 · May 25, 2025 · May 25, 2025 · May 25, 2025
diff --git a/galleries/examples/color/README.txt b/galleries/examples/color/README.txt

 For a description of the colormaps available in Matplotlib,
 see the :ref:`colormaps tutorial <tutorials-colors>`.

 - colorbar_histogram.py: Example of a colorbar with a histogram inset.
diff --git a/galleries/examples/color/colorbar_histogram.py b/galleries/examples/color/colorbar_histogram.py
 """
 =========================
 Colorbar with Histogram
 =========================

 This example demonstrates how to create a colorbar for an image and
 add a histogram of the data values alongside it. This is useful for
 visualizing the distribution of values mapped to colors.

 """

 importnumpyasnp
 importmatplotlib.pyplotasplt
 importmatplotlib.colorsasmcolors
 frommpl_toolkits.axes_grid1importmake_axes_locatable

 # Generate random data
 x=np.random.random((10,10))

 # Compute histogram
 counts,bins=np.histogram(x)

 # Set up colormap and normalization
 cmap=plt.get_cmap('viridis')
 norm=mcolors.BoundaryNorm(bins,cmap.N)

 fig,ax=plt.subplots()
 im=ax.imshow(x,cmap=cmap,norm=norm)
 cbar=plt.colorbar(im,ax=ax)
 cbar.set_label('Value')

 # Create an axes on the right side of ax. The width of cax will be 20% of ax and the padding between cax and ax will be fixed at 0.05 inch.
 divider=make_axes_locatable(ax)
 cax=divider.append_axes("right",size="20%",pad=0.05)

 # Plot histogram
 midpoints=bins[:-1]+np.diff(bins)/2
 cax.barh(midpoints,counts,height=np.diff(bins),color=cmap(norm(midpoints)))
 cax.set_yticks(bins)
 cax.set_xlabel('Count')
 cax.set_ylabel('Value')
 cax.invert_yaxis()# Optional: to match the orientation of imshow

 plt.tight_layout()
 plt.show()
Original file line number	Diff line number	Diff line change
Expand Up		@@ -5,3 +5,5 @@ Color

		For a description of the colormaps available in Matplotlib,
		see the :ref:`colormaps tutorial <tutorials-colors>`.

		- colorbar_histogram.py: Example of a colorbar with a histogram inset.
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		@@ -0,0 +1,46 @@
		"""
		=========================
		Colorbar with Histogram
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		=========================

		This example demonstrates how to create a colorbar for an image and
		add a histogram of the data values alongside it. This is useful for
		visualizing the distribution of values mapped to colors.

livlutz marked this conversation as resolved. OutdatedShow resolvedHide resolved livlutz marked this conversation as resolved. OutdatedShow resolvedHide resolved
		"""

		importnumpyasnp
		importmatplotlib.pyplotasplt
		importmatplotlib.colorsasmcolors
		frommpl_toolkits.axes_grid1importmake_axes_locatable

		# Generate random data
		x=np.random.random((10,10))

		# Compute histogram
		counts,bins=np.histogram(x)

		# Set up colormap and normalization
		cmap=plt.get_cmap('viridis')
		norm=mcolors.BoundaryNorm(bins,cmap.N)
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		fig,ax=plt.subplots()
		im=ax.imshow(x,cmap=cmap,norm=norm)
		cbar=plt.colorbar(im,ax=ax)
		cbar.set_label('Value')

		# Create an axes on the right side of ax. The width of cax will be 20% of ax and the padding between cax and ax will be fixed at 0.05 inch.
Check failure on line 32 in galleries/examples/color/colorbar_histogram.py View workflow job for this annotation GitHub Actions/ ruff `[rdjson] reported by reviewdog 🐶Line too long (139 > 88)Raw Output:message:"Line too long (139 > 88)" location:{path:"/home/runner/work/matplotlib/matplotlib/galleries/examples/color/colorbar_histogram.py" range:{start:{line:32 column:89} end:{line:32 column:140}}} source:{name:"ruff" url:"https://docs.astral.sh/ruff"} code:{value:"E501" url:"https://docs.astral.sh/ruff/rules/line-too-long"}`
		divider=make_axes_locatable(ax)
		cax=divider.append_axes("right",size="20%",pad=0.05)
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		# Plot histogram
		midpoints=bins[:-1]+np.diff(bins)/2
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		cax.barh(midpoints,counts,height=np.diff(bins),color=cmap(norm(midpoints)))
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		cax.set_yticks(bins)
		cax.set_xlabel('Count')
		cax.set_ylabel('Value')
		cax.invert_yaxis()# Optional: to match the orientation of imshow

		plt.tight_layout()
		plt.show()