One you might be interested in is linewidth. There are many options for grid, which are described in the matplotlib documentation. Including this before the savefig call produces this plot (made using 11x11 grid for clarity): Setting the grid color to 'white' works well with the colors used by the colormap (ie the default black does not show up well). To add a grid, as shown in this example, use the grid method. Img2 = pyplot.imshow(zvals,interpolation='nearest', If you want a gradient and not a discrete color map, make a color map by linearly interpolating through a series of colors: fig = pyplot.figure(2)Ĭmap2 = _list('my_colormap', The alternative is to set origin="lower", so that first point is plotted in the lower left corner. ![]() The default is 'upper left', which is why in my posted plot the y axis has 0 in the upper left and 99 (not shown) in the lower left. ![]() Not only will that let you share your 3D creations with other people you can also. You should note, that imshow accepts the origin keyword, which sets the where the first point is assigned. Looking for ideas click the Remix 3D icon on the far right of the toolbar (it looks like a group of people). It explains that the number of boundaries need to be one larger then then number of colors. The details for the color bar setup were taken from a matplotlib example: colorbar_only.py. Img = pyplot.imshow(zvals,interpolation='nearest', ![]() # tell imshow about color map so that only set colors are used # make values from -5 to 5, for this exampleĬmap = () Matplotlib has the imshow method for plotting arrays: import matplotlib as mpl
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