问题
I want to set the formatting of the y-axis offset in my plot to non-scientific notation, but I can't find a setting to do this. Other questions and their solutions describe how to either remove the offset altogether, or set the y-ticks to scientific/plain notation; I haven't found an answer for setting the notation of the offset itself.
I've already tried using these two options, but I think they're meant for the y-ticks, not the offsets:
ax.ticklabel_format(axis='y', style='plain', useOffset=6378.1)
and
ax.get_yaxis().get_major_formatter().set_scientific(False)
So, the actual result is +6.3781e3
, when I want +6378.1
Any way to do this?
Edit: Added example code and figure:
#!/usr/bin/env python
from matplotlib import pyplot as plt
from matplotlib import ticker
plt.rcParams['font.family'] = 'monospace'
import random
Date = range(10)
R = [6373.1+10*random.random() for i in range(10)]
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(Date,R,'-D',zorder=2,markersize=3)
ax.ticklabel_format(axis='y', style='plain', useOffset=6378.1)
ax.set_ylabel('Mean R (km)',fontsize='small',labelpad=1)
plt.show()
回答1:
A way to do this is to disable the offset text itself and add your custom ax.text
there as follows
from matplotlib import pyplot as plt
import random
plt.rcParams['font.family'] = 'monospace'
offset = 6378.1
Date = range(10)
R = [offset+10*random.random() for i in range(10)]
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(Date,R,'-D',zorder=2,markersize=3)
ax.ticklabel_format(axis='y', style='plain', useOffset=offset)
ax.set_ylabel('Mean R (km)',fontsize='small',labelpad=1)
ax.yaxis.offsetText.set_visible(False)
ax.text(x = 0.0, y = 1.01, s = str(offset), transform=ax.transAxes)
plt.show()
回答2:
You can subclass the default ScalarFormatter
and replace the get_offset
method, such that it would simply return the offset as it is. Note that if you wanted to make this compatible with the multiplicative "offset", this solution would need to be adapted (currently it just prints a warning).
from matplotlib import pyplot as plt
import matplotlib.ticker
import random
class PlainOffsetScalarFormatter(matplotlib.ticker.ScalarFormatter):
def get_offset(self):
if len(self.locs) == 0:
return ''
if self.orderOfMagnitude:
print("Your plot will likely be labelled incorrectly")
return self.offset
Date = range(10)
R = [6373.1+10*random.random() for i in range(10)]
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(Date,R,'-D',zorder=2,markersize=3)
ax.yaxis.set_major_formatter(PlainOffsetScalarFormatter())
ax.ticklabel_format(axis='y', style='plain', useOffset=6378.1)
ax.set_ylabel('Mean R (km)',fontsize='small',labelpad=1)
plt.show()
来源:https://stackoverflow.com/questions/53878397/change-matplotlib-offset-notation-from-scientific-to-plain