def test_polar_units():
import matplotlib.testing.jpl_units as units
from nose.tools import assert_true
units.register()
pi = np.pi
deg = units.UnitDbl(1.0, "deg")
km = units.UnitDbl(1.0, "km")
x1 = [pi / 6.0, pi / 4.0, pi / 3.0, pi / 2.0]
x2 = [30.0 * deg, 45.0 * deg, 60.0 * deg, 90.0 * deg]
y1 = [1.0, 2.0, 3.0, 4.0]
y2 = [4.0, 3.0, 2.0, 1.0]
fig = plt.figure()
plt.polar(x2, y1, color="blue")
# polar( x2, y1, color = "red", xunits="rad" )
# polar( x2, y2, color = "green" )
fig = plt.figure()
# make sure runits and theta units work
y1 = [y * km for y in y1]
plt.polar(x2, y1, color="blue", thetaunits="rad", runits="km")
assert_true(
isinstance(plt.gca().get_xaxis().get_major_formatter(),
units.UnitDblFormatter))
def float2epoch(value, unit):
""": Convert a matplotlib floating-point date into an Epoch of the
specified units.
= INPUT VARIABLES
- value The matplotlib floating-point date.
- unit The unit system to use for the Epoch.
= RETURN VALUE
- Returns the value converted to an Epoch in the specified time system.
"""
# Delay-load due to circular dependencies.
import matplotlib.testing.jpl_units as U
secPastRef = value * 86400.0 * U.UnitDbl(1.0, 'sec')
return U.Epoch(unit, secPastRef, EpochConverter.jdRef)
def test_polar_units():
import matplotlib.testing.jpl_units as units
units.register()
pi = np.pi
deg = units.UnitDbl(1.0, "deg")
x1 = [pi / 6.0, pi / 4.0, pi / 3.0, pi / 2.0]
x2 = [30.0 * deg, 45.0 * deg, 60.0 * deg, 90.0 * deg]
y1 = [1.0, 2.0, 3.0, 4.0]
y2 = [4.0, 3.0, 2.0, 1.0]
fig = pylab.figure()
pylab.polar(x2, y1, color="blue")
# polar( x2, y1, color = "red", xunits="rad" )
# polar( x2, y2, color = "green" )
fig.savefig('polar_units')
