def test_nm_from_2t_zero(self):
# boundary condition: 0
result = get_nm_from_2t(0)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, 1e+16)
result = get_nm_from_2t(0, zero_for_inf=True)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, 0)
def test_nm_from_2t_zero(self):
# boundary condition: 0
result = get_nm_from_2t(0)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, 1e+16)
result = get_nm_from_2t(0, zero_for_inf=True)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, 0)
def set_nm_ticks(axis, wavelength, xmin, xmax):
"""
Sets the tick positions and labels for a nanometer x-axes using
the given lower & upper limits and the wavelength
"""
np_nm2a = np.vectorize(partial(get_2t_from_nm, wavelength=wavelength))
def get_tick_labels(a, b):
def in_close(value, arr):
for val in arr:
if np.isclose(value, val):
return True
return False
return ["%g" % val if in_close(val, b) else "" for val in a]
minor_ticks_nm, major_ticks_nm, label_ticks_nm = _get_ticks()
dmax = min(get_nm_from_2t(xmin, wavelength),
100) #limit this so we don't get an "infinite" scale
dmin = get_nm_from_2t(xmax, wavelength)
# Extract the part we need:
selector = (minor_ticks_nm >= dmin) & (minor_ticks_nm <= dmax)
minor_ticks_pos = np_nm2a(minor_ticks_nm[selector])
selector = (major_ticks_nm >= dmin) & (major_ticks_nm <= dmax)
major_ticks_pos = np_nm2a(major_ticks_nm[selector])
major_ticks_labels = get_tick_labels(major_ticks_nm[selector],
label_ticks_nm)
# Set the ticks
helper = axis.get_helper()
helper.axis.minor.locator = FixedLocator(minor_ticks_pos)
helper.axis.minor.formatter = FixedFormatter([""] * len(minor_ticks_pos))
helper.axis.major.locator = FixedLocator(major_ticks_pos)
helper.axis.major.formatter = FixedFormatter(major_ticks_labels)
pass #end of func
def set_nm_ticks(axis, wavelength, xmin, xmax):
"""
Sets the tick positions and labels for a nanometer x-axes using
the given lower & upper limits and the wavelength
"""
np_nm2a = np.vectorize(partial(get_2t_from_nm, wavelength=wavelength))
def get_tick_labels(a, b):
def in_close(value, arr):
for val in arr:
if np.isclose(value, val):
return True
return False
return [ "%g" % val if in_close(val, b) else "" for val in a ]
minor_ticks_nm, major_ticks_nm, label_ticks_nm = _get_ticks()
dmax = min(get_nm_from_2t(xmin, wavelength), 100) #limit this so we don't get an "infinite" scale
dmin = get_nm_from_2t(xmax, wavelength)
# Extract the part we need:
selector = (minor_ticks_nm >= dmin) & (minor_ticks_nm <= dmax)
minor_ticks_pos = np_nm2a(minor_ticks_nm[selector])
selector = (major_ticks_nm >= dmin) & (major_ticks_nm <= dmax)
major_ticks_pos = np_nm2a(major_ticks_nm[selector])
major_ticks_labels = get_tick_labels(major_ticks_nm[selector], label_ticks_nm)
# Set the ticks
helper = axis.get_helper()
helper.axis.minor.locator = FixedLocator(minor_ticks_pos)
helper.axis.minor.formatter = FixedFormatter([""] * len(minor_ticks_pos))
helper.axis.major.locator = FixedLocator(major_ticks_pos)
helper.axis.major.formatter = FixedFormatter(major_ticks_labels)
pass #end of func
def test_nm_from_2t_negative(self):
# boundary condition: negative
result = get_nm_from_2t(-12.351779659)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, -0.716)
def get_nm_from_2t(self, twotheta):
"""Converts a 2-theta position to a nanometer value"""
return get_nm_from_2t(twotheta,
wavelength=self.wavelength,
zero_for_inf=True)
def get_nm_from_2t(self, twotheta):
"""Converts a 2-theta position to a nanometer value"""
return get_nm_from_2t(
twotheta,
wavelength=self.wavelength, zero_for_inf=True
)
def test_nm_from_2t_negative(self):
# boundary condition: negative
result = get_nm_from_2t(-12.351779659)
self.assertIsNotNone(result)
self.assertAlmostEquals(result, -0.716)
