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You'll need to complete a few actions and gain 15 reputation points before being able to upvote Import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import listedcolormap a = 0.5 # get the colormap colors, multiply them with the factor a, and create new colormap my_cmap = plt.cm.rdbu(np.arange(plt.cm.rdbu.n. Upvoting indicates when questions and answers are useful

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Module 'matplotlib.cm' has no attribute 'get_cmap' could anyone help me figure out how to solve this issue

I was trying to load weights and perform inference with openpose. I would like to know how to simply reverse the color order of a given colormap in order to use it with plot_surface. Not sure if this is the most elegant solution (this is what i used), but you could scale your data to the range between 0 to 1 and then modify the colorbar I was wondering if there is a function call that can give me the name of all colormaps available in matplotlib

It used to be possible by something along the lines of (see here) I'm trying to display a grayscale image using matplotlib.pyplot.imshow() My problem is that the grayscale image is displayed as a colormap I need it to be grayscale because i want to draw on to.

I'd like to make an overlay of several hexbin plots, but with builtin colormaps only the last one is visible

I don't want to construct a colormap de novo How one would add linear alpha to the col. I am trying to make a discrete colorbar for a scatterplot in matplotlib i have my x, y data and for each point an integer tag value which i want to be represented with a unique colour, e.g Return fig however, i get the following error

Object of type 'listedcolormap' has no len (), so it seems that i'm not using my_cmap correctly If i remove that from the function and run it, my bar chart looks ok, except that all bars have the same color What is the right way to use a colormap with a bar chart? This is quite similar to stanley r's (edit