I would like to multiply my y-axis ticks (as you can see below) so that instead of 0.25 to 2 they show a range of values from 2500 up to 20000.
How do I do that?
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Anton Menshov
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Matteo Fox Fossati
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Look at change the y offset in matplotlib. That '1e7' above the y axis is the offset. – Scott Boston Mar 14 '21 at 22:22
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Your current y-axis is actually 0.25*1e7 to 2.00*1e7. Are you saying you want it to display 2500*1e3 to 20000*1e3? – tdy Mar 14 '21 at 22:23
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`plt.plot(x,y/1000)` – JohanC Mar 14 '21 at 22:25
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@tdy Yes thats exactly what I'd like to do – Matteo Fox Fossati Mar 14 '21 at 22:58
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Does this answer your question? [Set scientific notation with fixed exponent and significant digits for multiple subplots](https://stackoverflow.com/questions/42656139/set-scientific-notation-with-fixed-exponent-and-significant-digits-for-multiple) – jojo Mar 14 '21 at 23:49
1 Answers
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You can use this order of magnitude formatter:
# https://stackoverflow.com/a/42658124/13138364
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
Toy example changing 1e7 to 1e3:
x = np.arange(100)
y = np.random.rand(100) * 2e7
# plot with `ax` handle
fig, ax = plt.subplots()
ax.plot(x, y)
# format order of magnitude of `ax.yaxis`
order = 3
ax.yaxis.set_major_formatter(OOMFormatter(order, '%1.1f'))
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tdy
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