python - Factors and shifts in offsets for matplotlib axes labels -
on axes tick labels in matplotlib, there 2 kinds of possible offsets: factors , shifts:
in lower right corner 1e-8 "factor" , 1.441249698e1 "shift".
there lot of answers here showing how manipulate both of them:
- matplotlib: format axis offset-values whole numbers or specific number
- how remove relative shift in matplotlib axis
- how prevent numbers being changed exponential form in python matplotlib figure
i remove shifts , can't seem figure out how it. matplotlib should allowed scale axis, not move 0 point. is there simple way achieve behaviour?
you can fix order of magnitude show on axis shown in this question. idea subclass usual scalarformatter , fix order of magnitude show. setting useoffset false prevent showing offset, still shows factor.
thwe format "%1.1f" show 1 decimal place. using maxnlocator allows set maximum number of ticks on axes.
import numpy np import matplotlib.pyplot plt import matplotlib.ticker class oomformatter(matplotlib.ticker.scalarformatter): def __init__(self, order=0, fformat="%1.1f", offset=false, 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 = '$%s$' % self.format x = [0.6e-8+14.41249698, 3.4e-8+14.41249698] y = [-7.7e-11-1.110934954e-2, -0.8e-11-1.110934954e-2] fig, ax = plt.subplots() ax.plot(x,y) y_formatter = oomformatter(-2, "%1.1f") ax.yaxis.set_major_formatter(y_formatter) x_formatter = oomformatter(1, "%1.1f") ax.xaxis.set_major_formatter(x_formatter) ax.xaxis.set_major_locator(matplotlib.ticker.maxnlocator(2)) ax.yaxis.set_major_locator(matplotlib.ticker.maxnlocator(2)) plt.show() 
keep in mind plot inaccurate , shouldn't use in kind of report hand other people wouldn't know how interprete it.
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