If you want to set the clim of multiple images, use ~.ScalarMappable.set_clim on every image, for example: ... Set the color limits of the current image. ... The following pages refer to to this document either explicitly or contain code examples using this. matplotlib.pyplot.sci matplotlib.axes._base._AxesBase._sci matplotlib.pyplot.plotting

GitHub · matplotlib.pyplot.clim(vmin=None, vmax=None)[source]# Set the color limits of the current image. If either vmin or vmax is None, the image min/max respectively will be used for color scaling.

If you want to set the clim of multiple images, use set_clim on every image, for example:

October 31, 2018 - fig, ax = plt.subplots() data = np.random.random(size=(50,50)) img = ax.imshow(data) cb = plt.colorbar(img) # the colorbar is the same height as the plot at this point #img.set_clim([0.25,0.75]) # running this line will produce a shrunken colorbar #img.set_clim([-0.25,1.25]) # running this line will change the limits of the colorbar # and return the colorbar to its original size

January 30, 2018 - Bug report Bug summary Not sure if this is really a bug or just a user issue. I expected that passing a clim tuple to pcolormesh with no vmin or vmax specified would update the color scale limits. I found that I had to use vmin and vmax ...

May 1, 2020 - You are reading an old version of the documentation (v3.1.1). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Version 3.1.2 · Fork me on GitHub · index · modules | next | previous | home| contents » · API Overview » ·

March 29, 2022 - from pylab import * tripcolor(np.random.rand(100), np.random.rand(100), np.random.rand(100), clim=(0, 0.5)) colorbar() show() anntzer · on Mar 30, 2022 · ContributorAuthor · More actions · Yes, this would be correct. jklymakclosed this as completedin #22734 · on Mar 31, 2022 · QuLogicadded this to the v3.6.0 milestone · on Mar 31, 2022 · Sign up for free to join this conversation on GitHub.

April 30, 2016 - # no bound given im = plt.matshow([[1, 2,], [3, 4]]) print(im.get_clim()) # (1, 4) # only give one bound im = plt.matshow([[1, 2,], [3, 4]], vmin=0) print(im.get_clim()) # (1, None) # draw should update the clim but doesn't plt.draw() print(im.get_clim()) # (1, None), expected (1, 4) # show() updates clim plt.show() print(im.get_clim()) # (1, 4)

You are reading an old version of the documentation (v2.1.1). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Fork me on GitHub · index · modules | next | previous | home| examples| tutorials| pyplot| docs » ·

February 19, 2012 - I reported on the mailing list that a call to im.set_clim to change the color scale on a NonUniformImage changes the colorbar but not the plot itself. It was pointed out that a further call to im.set_data fixes it, but it would be useful if that wasn't necessary. Here is some test code. I set up an image plot as follows (using ipython --pylab=qt): import numpy as np import matplotlib.pyplot as plt from matplotlib.image import NonUniformImage x=y=np.linspace(0,2*np.pi,101) X,Y=np.meshgrid(x,y) z=np.sin(X)*np.sin(Y) ax=plt.gca() extent = (x[0],x[-1],y[0],y[-1]) im = NonUniformImage(ax, extent=extent, origin=None) im.set_data(x,y,z) ax.images.append(im) ax.set_xlim(x[0],x[-1]) ax.set_ylim(y[0],y[-1]) plt.colorbar(im) plt.gcf().canvas.draw()

June 21, 2020 - Bug report Bug summary QuadMesh.get_clim() is documented as: Return the values (min, max) that are mapped to the colormap limits. Without vmin or vmax arguments to pcolormesh, this returns the data minimal and maximal values. However in ...

April 7, 2020 - Bug report Bug summary In the multi_image example, the colorbar is responding correctly to set_clim only when called on the image to which the colorbar is directly attached. Code for reproduction This is just the example, https://matplot...

February 19, 2015 - Image-type plots support the clim kwarg, but pcolor-type do not. Pcolorfast is a hybrid, so whether it does or does not depends on whether it is generating an image or a quadmesh. The problem is mo...

January 25, 2025 - We are triggering callbacks, which trigger colorbar processing before we have finished updating all of our norm limits which the colorbar doesn't like. We could fix the set_clim() case because vmin/vmax come in together by suppressing the callbacks and only emitting one at the end.

May 18, 2019 - You are reading an old version of the documentation (v3.1.0). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Version 3.1.0 · Fork me on GitHub · index · modules | next | previous | home| examples| tutorials| API| contents » ·

You are reading an old version of the documentation (v2.1.0). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Fork me on GitHub · index · modules | next | previous | home| examples| tutorials| pyplot| docs » ·

You are reading an old version of the documentation (v2.1.2). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Version 2.1.2 · Fork me on GitHub · index · modules | next | previous | home| examples| tutorials| pyplot| docs » ·

July 17, 2020 - You are reading an old version of the documentation (v3.3.0). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Version 3.3.0 · Fork me on GitHub · index · modules | next | previous | home| contents » · API Overview » ·

You are reading an old version of the documentation (v3.3.4). For the latest version see https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.clim.html · Version 3.3.4 · Fork me on GitHub · index · modules | next | previous | home| contents » · API Overview » ·

April 19, 2020 - Syntax: matplotlib.pyplot.clim(vmin=None, vmax=None) Parameters: This method accepts only two parameters.