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[Feature request] Simple ticks generator for given range #6975

@avi9526

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@avi9526

matplotlib allows to generate nice ticks for given image. But I had reverse task - generate custom color image (ratio of two images - pixel wise ratio define color and pixel wise average define intensity) with custom color bar with nice ticks. To do so I need to know ticks before I can make image, and the only thing that is known is approximate center value and range ±50%. I had to use code from below, but it would be nice to have easy access to built-in matplotlib function that generates ticks array for wanted range

# Make equdistant ticks for given range
def Ticks4Range(Range, MinTickCount = 5):
    Sign = numpy.sign(Range[1] - Range[0])
    TickStep = Sign * (Range[1] - Range[0]) / MinTickCount
    Digits = numpy.floor(numpy.log10(TickStep) + 1) - 1
    TickStep = (TickStep / 10**Digits)
    if TickStep < 2:
        TickStep = 1
    elif TickStep < 2.5:
        TickStep = 2
    elif TickStep < 5:
        TickStep = 2.5
    else:
        TickStep = 5
    TickStep = TickStep * 10**Digits
    Digits = numpy.floor(numpy.log10(numpy.max(Range)) + 1) - 1
    #TickRange = numpy.ceil(Range[0] / TickStep) * TickStep, numpy.floor(Range[1] / TickStep) * TickStep
    #Ticks = numpy.linspace(TickRange[0], TickRange[1], numpy.round((TickRange[1] - TickRange[0]) / TickStep * Sign))
    Ticks = numpy.arange(numpy.ceil(Range[0] / TickStep * Sign) * Sign * TickStep, Range[1]*(1 + 0.01*Sign*numpy.sign(Range[1])), TickStep * Sign)
    return Ticks

I use it this way

>>> custom.Ticks4Range(57.86 * numpy.array([0.5, 1.5]), 3)
array([ 30.,  40.,  50.,  60.,  70.,  80.])

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