/usr/lib/python3/dist-packages/matplotlib/tests/test_units.py is in python3-matplotlib 1.5.1-1ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | import matplotlib.pyplot as plt
import matplotlib.units as munits
import numpy as np
try:
# mock in python 3.3+
from unittest.mock import MagicMock
except ImportError:
from mock import MagicMock
# Tests that the conversion machinery works properly for classes that
# work as a facade over numpy arrays (like pint)
def test_numpy_facade():
# Basic class that wraps numpy array and has units
class Quantity(object):
def __init__(self, data, units):
self.magnitude = data
self.units = units
def to(self, new_units):
return Quantity(self.magnitude, new_units)
def __getattr__(self, attr):
return getattr(self.magnitude, attr)
def __getitem__(self, item):
return self.magnitude[item]
# Create an instance of the conversion interface and
# mock so we can check methods called
qc = munits.ConversionInterface()
def convert(value, unit, axis):
if hasattr(value, 'units'):
return value.to(unit)
else:
return Quantity(value, axis.get_units()).to(unit).magnitude
qc.convert = MagicMock(side_effect=convert)
qc.axisinfo = MagicMock(return_value=None)
qc.default_units = MagicMock(side_effect=lambda x, a: x.units)
# Register the class
munits.registry[Quantity] = qc
# Simple test
t = Quantity(np.linspace(0, 10), 'sec')
d = Quantity(30 * np.linspace(0, 10), 'm/s')
fig, ax = plt.subplots(1, 1)
l, = plt.plot(t, d)
ax.yaxis.set_units('inch')
assert qc.convert.called
assert qc.axisinfo.called
assert qc.default_units.called
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