def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
name = self.axis_name[dimension]
buff = np.full((size[1], size[0]), np.nan, dtype="f8")
if name == "theta":
pixelize_cylinder(
buff,
data_source["px"],
data_source["pdx"],
data_source["py"],
data_source["pdy"],
data_source[field],
bounds,
)
elif name == "phi":
# Note that we feed in buff.T here
pixelize_cylinder(
buff.T,
data_source["px"],
data_source["pdx"],
data_source["py"],
data_source["pdy"],
data_source[field],
bounds,
)
else:
raise RuntimeError
self.sanitize_buffer_fill_values(buff)
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
offset, factor = self._retrieve_radial_offset(data_source)
r = factor * data_source["py"] + offset
# Because of the axis-ordering, dimensions 0 and 1 both have r as py
# and the angular coordinate as px. But we need to figure out how to
# convert our coordinate back to an actual angle, based on which
# dimension we're in.
pdx = data_source["pdx"].d * np.pi / 180
if self.axis_name[self.x_axis[dimension]] == "latitude":
px = (data_source["px"].d + 90) * np.pi / 180
do_transpose = True
elif self.axis_name[self.x_axis[dimension]] == "longitude":
px = (data_source["px"].d + 180) * np.pi / 180
do_transpose = False
else:
# We should never get here!
raise NotImplementedError
buff = np.full((size[1], size[0]), np.nan, dtype="f8")
pixelize_cylinder(buff, r, data_source["pdy"], px, pdx,
data_source[field], bounds)
if do_transpose:
buff = buff.transpose()
self.sanitize_buffer_fill_values(buff)
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias):
buff = np.full((size[1], size[0]), np.nan, dtype="f8")
pixelize_cylinder(buff, data_source['px'], data_source['pdx'],
data_source['py'], data_source['pdy'],
data_source[field], bounds)
self.sanitize_buffer_fill_values(buff)
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias, dimension):
if dimension == 1:
buff = pixelize_cylinder(
data_source["px"],
data_source["pdx"],
data_source["py"],
data_source["pdy"],
size,
data_source[field],
bounds,
)
elif dimension == 2:
buff = pixelize_cylinder(
data_source["px"],
data_source["pdx"],
data_source["py"],
data_source["pdy"],
size,
data_source[field],
bounds,
)
buff = buff.transpose()
else:
raise RuntimeError
return buff
def __getitem__(self, item) :
if item in self.data: return self.data[item]
buff = np.zeros(self.buff_size, dtype="f8")
pixelize_cylinder(buff, self.data_source["r"], self.data_source["dr"],
self.data_source["theta"], self.data_source["dtheta"],
self.data_source[item].astype("float64"), self.radius)
self[item] = buff
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias):
buff = np.zeros((size[1], size[0]), dtype="f8")
pixelize_cylinder(buff,
data_source['px'],
data_source['pdx'],
data_source['py'],
data_source['pdy'],
data_source[field], bounds)
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
if dimension == 1:
buff = pixelize_cylinder(data_source['px'], data_source['pdx'],
data_source['py'], data_source['pdy'],
size, data_source[field], bounds)
elif dimension == 2:
buff = pixelize_cylinder(data_source['px'], data_source['pdx'],
data_source['py'], data_source['pdy'],
size, data_source[field], bounds)
buff = buff.transpose()
else:
raise RuntimeError
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias):
buff = pixelize_cylinder(data_source['px'],
data_source['pdx'],
data_source['py'],
data_source['pdy'],
size, data_source[field], bounds)
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
surface_height = data_source.get_field_parameter("surface_height")
if surface_height is None:
if hasattr(data_source.ds, "surface_height"):
surface_height = data_source.ds.surface_height
else:
surface_height = data_source.ds.quan(0.0, "code_length")
r = data_source['py'] + surface_height
# Because of the axis-ordering, dimensions 0 and 1 both have r as py
# and the angular coordinate as px. But we need to figure out how to
# convert our coordinate back to an actual angle, based on which
# dimension we're in.
pdx = data_source['pdx'].d * np.pi / 180
if self.axis_name[self.x_axis[dimension]] == 'latitude':
px = (data_source['px'].d + 90) * np.pi / 180
do_transpose = True
elif self.axis_name[self.x_axis[dimension]] == 'longitude':
px = (data_source['px'].d + 180) * np.pi / 180
do_transpose = False
else:
# We should never get here!
raise NotImplementedError
buff = pixelize_cylinder(r, data_source['pdy'], px, pdx, size,
data_source[field], bounds)
if do_transpose:
buff = buff.transpose()
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
surface_height = data_source.get_field_parameter("surface_height")
if surface_height is None:
if hasattr(data_source.ds, "surface_height"):
surface_height = data_source.ds.surface_height
else:
surface_height = data_source.ds.quan(0.0, "code_length")
r = data_source['py'] + surface_height
# Because of the axis-ordering, dimensions 0 and 1 both have r as py
# and the angular coordinate as px. But we need to figure out how to
# convert our coordinate back to an actual angle, based on which
# dimension we're in.
pdx = data_source['pdx'].d * np.pi/180
if self.axis_name[self.x_axis[dimension]] == 'latitude':
px = (data_source['px'].d + 90) * np.pi/180
do_transpose = True
elif self.axis_name[self.x_axis[dimension]] == 'longitude':
px = (data_source['px'].d + 180) * np.pi/180
do_transpose = False
else:
# We should never get here!
raise NotImplementedError
buff = pixelize_cylinder(r, data_source['pdy'],
px, pdx,
size, data_source[field], bounds)
if do_transpose:
buff = buff.transpose()
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
name = self.axis_name[dimension]
buff = np.zeros((size[1], size[0]), dtype="f8")
if name == 'theta':
pixelize_cylinder(buff, data_source['px'], data_source['pdx'],
data_source['py'], data_source['pdy'],
data_source[field], bounds)
elif name == 'phi':
# Note that we feed in buff.T here
pixelize_cylinder(buff.T, data_source['px'], data_source['pdx'],
data_source['py'], data_source['pdy'],
data_source[field], bounds)
else:
raise RuntimeError
return buff
def __getitem__(self, item) :
if item in self.data: return self.data[item]
buff = pixelize_cylinder(self.data_source["r"], self.data_source["dr"],
self.data_source["theta"], self.data_source["dtheta"],
self.buff_size, self.data_source[item].astype("float64"),
self.radius)
self[item] = buff
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
name = self.axis_name[dimension]
if name == 'theta':
buff = pixelize_cylinder(data_source['px'],
data_source['pdx'],
data_source['py'],
data_source['pdy'],
size, data_source[field], bounds)
elif name == 'phi':
buff = pixelize_cylinder(data_source['px'],
data_source['pdx'],
data_source['py'],
data_source['pdy'],
size, data_source[field], bounds)
buff = buff.transpose()
else:
raise RuntimeError
return buff
def _cyl_pixelize(self, data_source, field, bounds, size, antialias,
dimension):
offset, factor = self._retrieve_radial_offset(data_source)
r = factor * data_source['py'] + offset
# Because of the axis-ordering, dimensions 0 and 1 both have r as py
# and the angular coordinate as px. But we need to figure out how to
# convert our coordinate back to an actual angle, based on which
# dimension we're in.
pdx = data_source['pdx'].d * np.pi / 180
if self.axis_name[self.x_axis[dimension]] == 'latitude':
px = (data_source['px'].d + 90) * np.pi / 180
do_transpose = True
elif self.axis_name[self.x_axis[dimension]] == 'longitude':
px = (data_source['px'].d + 180) * np.pi / 180
do_transpose = False
else:
# We should never get here!
raise NotImplementedError
buff = pixelize_cylinder(r, data_source['pdy'], px, pdx, size,
data_source[field], bounds)
if do_transpose:
buff = buff.transpose()
return buff