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I am coming to Python and numpy and matplotlib from a Matlab background. One function in matlab that I use all the time is imagesc. Is there an exact equivalent to this somewhere in matplotlib? I know about imshow and pcolor, but the first doesn't allow you to easily set the units of the axes like imagesc, and the second makes you set the x- and y-coordinates of the boundaries of the pixels, rather than the centers of the pixels, which I do not find intuitive.
Basically, if I have an image that I want to display with x- and y-axis labels that are not pixel numbers but are numerical, like distance in mm, what is the easiest way to do it in matplotlib?
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imagesc( C ) displays the data in array C as an image that uses the full range of colors in the colormap. Each element of C specifies the color for one pixel of the image. The resulting image is an m -by- n grid of pixels where m is the number of rows and n is the number of columns in C .
A Figure object is the outermost container for a matplotlib graphic, which can contain multiple Axes objects. One source of confusion is the name: an Axes actually translates into what we think of as an individual plot or graph (rather than the plural of “axis,” as we might expect).
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update.
You want the extent kwarg
ax.imshow(data, extent=[0, 1, 0, 1]) See Imshow: extent and aspect for a more detailed example.
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