Just specify vmin=0, vmax=1. By default, imshow normalizes the data to its min and max. You can control this with either the vmin and vmax arguments or with the norm argument (if you want a non-linear scaling). As a quick example: import matplotlib.pyplot as plt data = [[0, 0.25], [0.5, 0.75]] fig, ax = plt.subplots() … Read more
You could set the title of the colorbar axis (which appears above the axis), rather than the label (which appears along the long axis). To access the colorbar’s Axes, you can use clb.ax. You can then use set_title, in the same way you can for any other Axes instance. For example: import numpy as np … Read more
Just specify vmin=0, vmax=1. By default, imshow normalizes the data to its min and max. You can control this with either the vmin and vmax arguments or with the norm argument (if you want a non-linear scaling). As a quick example: import matplotlib.pyplot as plt data = [[0, 0.25], [0.5, 0.75]] fig, ax = plt.subplots() … Read more
Code for solution as suggested by Serenity: plt.figure() im = plt.imshow(np.reshape(np.random.rand(100), newshape=(10,10)), interpolation=’none’, vmin=0, vmax=1, aspect=”equal”) ax = plt.gca(); # Major ticks ax.set_xticks(np.arange(0, 10, 1)) ax.set_yticks(np.arange(0, 10, 1)) # Labels for major ticks ax.set_xticklabels(np.arange(1, 11, 1)) ax.set_yticklabels(np.arange(1, 11, 1)) # Minor ticks ax.set_xticks(np.arange(-.5, 10, 1), minor=True) ax.set_yticks(np.arange(-.5, 10, 1), minor=True) # Gridlines based on minor … Read more
You can do it by setting the aspect of the image manually (or by letting it auto-scale to fill up the extent of the figure). By default, imshow sets the aspect of the plot to 1, as this is often what people want for image data. In your case, you can do something like: import … Read more
You can remove the white space padding by setting bbox_inches=”tight” in savefig: plt.savefig(“test.png”,bbox_inches=”tight”) You’ll have to put the argument to bbox_inches as a string, perhaps this is why it didn’t work earlier for you. Possible duplicates: Matplotlib plots: removing axis, legends and white spaces How to set the margins for a matplotlib figure? Reduce left … Read more