Problem
I want to be able to generate this plot:
I managed to create this plot using the following code:
from itertools import count
from math import copysign
# https://pypi.org/project/prefixed/
from prefixed import Float
from matplotlib.ticker import ScalarFormatter
class FrequencyFormatter(ScalarFormatter):
def format_data(self, value):
# Add the Hz suffix
return '{:H}Hz'.format(Float(value))
def _set_order_of_magnitude(self):
super()._set_order_of_magnitude()
c = abs(self.orderOfMagnitude)
# Search 0, -3, 3, -6, 6, -9, 9 etc until the best scientifically
# prefixed oom is found, and then set self.orderOfMagnitude to it
for sciOom in count(3,3):
if c < sciOom:
self.orderOfMagnitude = copysign(sciOom, self.orderOfMagnitude)
break
# fig,ax...
ax.yaxis.set_major_formatter(FrequencyFormatter(
# I'm not necessarily interested in this, but without this,
# ScalarFormatter.get_offset doesn't use my own .format_data function to
# format also the offset.
useMathText=True
))It is not ideal because it relies both upon modifying (the private) _set_order_of_magnitude method and the external library prefixed, which implements something already implemented in the EngFormatter.
I'm surprised that EngFormatter doesn't handle offsets so smartly like ScalarFormatter...
Where do you think this kind of enhancement would fit most? In EngFormatter with an additional __init__ argument? Or in a new formatter?
Proposed solution
Sort of proposed above...
Problem
I want to be able to generate this plot:
I managed to create this plot using the following code:
It is not ideal because it relies both upon modifying (the private)
_set_order_of_magnitudemethod and the external libraryprefixed, which implements something already implemented in theEngFormatter.I'm surprised that
EngFormatterdoesn't handle offsets so smartly likeScalarFormatter...Where do you think this kind of enhancement would fit most? In
EngFormatterwith an additional__init__argument? Or in a new formatter?Proposed solution
Sort of proposed above...