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# -*- coding: utf-8 -*-
"""
pint.matplotlib
~~~~~~~~~
Functions and classes related to working with Matplotlib's support
for plotting with units.
:copyright: 2017 by Pint Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
import matplotlib.units
class PintAxisInfo(matplotlib.units.AxisInfo):
"""Support default axis and tick labeling and default limits."""
def __init__(self, units):
"""Set the default label to the pretty-print of the unit."""
super(PintAxisInfo, self).__init__(label='{:P}'.format(units))
class PintConverter(matplotlib.units.ConversionInterface):
"""Implement support for pint within matplotlib's unit conversion framework."""
def __init__(self, registry):
super(PintConverter, self).__init__()
self._reg = registry
def convert(self, value, unit, axis):
"""Convert :`Quantity` instances for matplotlib to use."""
if isinstance(value, (tuple, list)):
return [self._convert_value(v, unit, axis) for v in value]
else:
return self._convert_value(value, unit, axis)
def _convert_value(self, value, unit, axis):
"""Handle converting using attached unit or falling back to axis units."""
if hasattr(value, 'units'):
return value.to(unit).magnitude
else:
return self._reg.Quantity(value, axis.get_units()).to(unit).magnitude
@staticmethod
def axisinfo(unit, axis):
"""Return axis information for this particular unit."""
return PintAxisInfo(unit)
@staticmethod
def default_units(x, axis):
"""Get the default unit to use for the given combination of unit and axis."""
return getattr(x, 'units', None)
def setup_matplotlib_handlers(registry, enable):
"""Set up matplotlib's unit support to handle units from a registry.
:param registry: the registry that will be used
:type registry: UnitRegistry
:param enable: whether support should be enabled or disabled
:type enable: bool
"""
if matplotlib.__version__ < '2.0':
raise RuntimeError('Matplotlib >= 2.0 required to work with pint.')
if enable:
matplotlib.units.registry[registry.Quantity] = PintConverter(registry)
else:
matplotlib.units.registry.pop(registry.Quantity, None)
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