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create a imshow template, that is fast to use (good defaults)
- for image viewing (no quantitative axes, i.e. no axes at all)
- either plane, or with dimension labels
- optional color bar (with zmin, zmax values, or window leveled)
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create a 2d image matrix class which has the following members
- xVals (centerd pixel coordinate)
- yVals (Centered pixel coordinate)
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Update code base using type hints. I do not see a reason to provide python < 3.5 compatibility.
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Provide mpl and python env settings for reproducability (e.g. set up a corresponding *.yml file)
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implement a nice bee scatter algorithm for the data points in boxplots
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fast auto-parsing boxplot scripts (plug'n play and robust data loading)
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automated mpl update testing routines
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automated pixel level output image comparison
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automated pdf vector graphic level output image comparison
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Add a markdown guide on how to install custom fonts for matplotlib using macOS and Windows 10. Make this guide for all relevant OS.
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Refactor those parts from the examples that are generic and put them in a deployable lib.
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Add license information for this repository.
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Window / Level plugin for mpl's imshow command
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generic imshow routines
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add adaptive colorbar and autowindow-colorbar functionality
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medical gray scale image using imshow with appropriate colorbar
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Window / Level labels for mpl's colorbars
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Write font guide to use custom fonts within matplotlib.
ad pcolor exampels:
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add absolute padding scaling functionality
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specify relative paddingFraction, but w.r.t to the absolute figure size, this makes more sense