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Python

"""UnitDblConverter module containing class UnitDblConverter."""
import numpy as np
from matplotlib import cbook
import matplotlib.units as units
import matplotlib.projections.polar as polar
__all__ = ['UnitDblConverter']
# A special function for use with the matplotlib FuncFormatter class
# for formatting axes with radian units.
# This was copied from matplotlib example code.
def rad_fn(x, pos=None):
"""Radian function formatter."""
n = int((x / np.pi) * 2.0 + 0.25)
if n == 0:
return str(x)
elif n == 1:
return r'$\pi/2$'
elif n == 2:
return r'$\pi$'
elif n % 2 == 0:
return fr'${n//2}\pi$'
else:
return fr'${n}\pi/2$'
class UnitDblConverter(units.ConversionInterface):
"""
Provides Matplotlib conversion functionality for the Monte UnitDbl class.
"""
# default for plotting
defaults = {
"distance": 'km',
"angle": 'deg',
"time": 'sec',
}
@staticmethod
def axisinfo(unit, axis):
""": Returns information on how to handle an axis that has Epoch data.
= INPUT VARIABLES
- unit The units to use for a axis with Epoch data.
= RETURN VALUE
- Returns a matplotlib AxisInfo data structure that contains
minor/major formatters, major/minor locators, and default
label information.
"""
# Delay-load due to circular dependencies.
import matplotlib.testing.jpl_units as U
# Check to see if the value used for units is a string unit value
# or an actual instance of a UnitDbl so that we can use the unit
# value for the default axis label value.
if unit:
label = unit if isinstance(unit, str) else unit.label()
else:
label = None
if label == "deg" and isinstance(axis.axes, polar.PolarAxes):
# If we want degrees for a polar plot, use the PolarPlotFormatter
majfmt = polar.PolarAxes.ThetaFormatter()
else:
majfmt = U.UnitDblFormatter(useOffset=False)
return units.AxisInfo(majfmt=majfmt, label=label)
@staticmethod
def convert(value, unit, axis):
""": Convert value using unit to a float. If value is a sequence, return
the converted sequence.
= INPUT VARIABLES
- value The value or list of values that need to be converted.
- unit The units to use for a axis with Epoch data.
= RETURN VALUE
- Returns the value parameter converted to floats.
"""
# Delay-load due to circular dependencies.
import matplotlib.testing.jpl_units as U
if not cbook.is_scalar_or_string(value):
return [UnitDblConverter.convert(x, unit, axis) for x in value]
# If the incoming value behaves like a number,
# then just return it because we don't know how to convert it
# (or it is already converted)
if units.ConversionInterface.is_numlike(value):
return value
# If no units were specified, then get the default units to use.
if unit is None:
unit = UnitDblConverter.default_units(value, axis)
# Convert the incoming UnitDbl value/values to float/floats
if isinstance(axis.axes, polar.PolarAxes) and value.type() == "angle":
# Guarantee that units are radians for polar plots.
return value.convert("rad")
return value.convert(unit)
@staticmethod
def default_units(value, axis):
""": Return the default unit for value, or None.
= INPUT VARIABLES
- value The value or list of values that need units.
= RETURN VALUE
- Returns the default units to use for value.
Return the default unit for value, or None.
"""
# Determine the default units based on the user preferences set for
# default units when printing a UnitDbl.
if cbook.is_scalar_or_string(value):
return UnitDblConverter.defaults[value.type()]
else:
return UnitDblConverter.default_units(value[0], axis)