Python matplotlib colorbar scientific notation base

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广开言路
广开言路 2020-12-09 11:17

I am trying to customise a colorbar on my matpllotlib contourf plots. Whilst I am able to use scientific notation I am trying to change the base of the notation - essentiall

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  •  清歌不尽
    2020-12-09 12:11

    A possible solution can be to subclass the ScalarFormatter and fix the order of magnitude as in this question: Set scientific notation with fixed exponent and significant digits for multiple subplots

    You would then call this formatter with the order of magnitude as the argument order, OOMFormatter(-2, mathText=False). mathText is set to false to obtain the notation from the question, i.e. while setting it to True, would give .

    You can then set the formatter to the colorbar via the colorbar's format argument.

    import numpy as np; np.random.seed(0)
    import matplotlib.pyplot as plt
    import matplotlib.ticker
    
    class OOMFormatter(matplotlib.ticker.ScalarFormatter):
        def __init__(self, order=0, fformat="%1.1f", offset=True, mathText=True):
            self.oom = order
            self.fformat = fformat
            matplotlib.ticker.ScalarFormatter.__init__(self,useOffset=offset,useMathText=mathText)
        def _set_order_of_magnitude(self):
            self.orderOfMagnitude = self.oom
        def _set_format(self, vmin=None, vmax=None):
            self.format = self.fformat
            if self._useMathText:
                 self.format = r'$\mathdefault{%s}$' % self.format
    
    
    z = (np.random.random((10,10)) - 0.5) * 0.2
    
    fig, ax = plt.subplots()
    plot = ax.contourf(z)
    cbar = fig.colorbar(plot, format=OOMFormatter(-2, mathText=False))
    
    plt.show()
    

    For matplotlib versions < 3.1 the class needs to look like this:

    class OOMFormatter(matplotlib.ticker.ScalarFormatter):
        def __init__(self, order=0, fformat="%1.1f", offset=True, mathText=True):
            self.oom = order
            self.fformat = fformat
            matplotlib.ticker.ScalarFormatter.__init__(self,useOffset=offset,useMathText=mathText)
        def _set_orderOfMagnitude(self, nothing):
            self.orderOfMagnitude = self.oom
        def _set_format(self, vmin, vmax):
            self.format = self.fformat
            if self._useMathText:
                self.format = '$%s$' % matplotlib.ticker._mathdefault(self.format)
    

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