from __future__ import absolute_import, division, print_function
import uuid
from collections import defaultdict
from glue.core import BaseData, Coordinates
from glue.config import colormaps
from glue.viewers.matplotlib.state import (MatplotlibDataViewerState,
MatplotlibLayerState,
DeferredDrawCallbackProperty as DDCProperty,
DeferredDrawSelectionCallbackProperty as DDSCProperty)
from glue.core.state_objects import StateAttributeLimitsHelper
from glue.utils import defer_draw, view_shape
from glue.external.echo import delay_callback
from glue.core.data_combo_helper import ManualDataComboHelper, ComponentIDComboHelper
from glue.core.exceptions import IncompatibleDataException
__all__ = ['ImageViewerState', 'ImageLayerState', 'ImageSubsetLayerState', 'AggregateSlice']
def get_sliced_data_maker(x_axis=None, y_axis=None, slices=None, data=None,
target_cid=None, reference_data=None, transpose=False):
"""
Convenience function for use in exported Python scripts.
"""
if reference_data is None:
reference_data = data
def get_array(bounds=None):
full_bounds = list(slices)
full_bounds[y_axis] = bounds[0]
full_bounds[x_axis] = bounds[1]
if isinstance(data, BaseData):
array = data.compute_fixed_resolution_buffer(full_bounds, target_data=reference_data,
target_cid=target_cid, broadcast=False)
else:
array = data.data.compute_fixed_resolution_buffer(full_bounds, target_data=reference_data,
subset_state=data.subset_state, broadcast=False)
if transpose:
array = array.transpose()
return array
return get_array
[docs]class AggregateSlice(object):
def __init__(self, slice=None, center=None, function=None):
self.slice = slice
self.center = center
self.function = function
def __gluestate__(self, context):
state = dict(slice=context.do(self.slice),
center=self.center,
function=context.do(self.function))
return state
@classmethod
def __setgluestate__(cls, rec, context):
return cls(slice=context.object(rec['slice']),
center=rec['center'],
function=context.object(rec['function']))
[docs]class ImageViewerState(MatplotlibDataViewerState):
"""
A state class that includes all the attributes for an image viewer.
"""
x_att = DDCProperty(docstring='The component ID giving the pixel component '
'shown on the x axis')
y_att = DDCProperty(docstring='The component ID giving the pixel component '
'shown on the y axis')
x_att_world = DDSCProperty(docstring='The component ID giving the world component '
'shown on the x axis', default_index=-1)
y_att_world = DDSCProperty(docstring='The component ID giving the world component '
'shown on the y axis', default_index=-2)
aspect = DDSCProperty(0, docstring='Whether to enforce square pixels (``equal``) '
'or fill the axes (``auto``)')
reference_data = DDSCProperty(docstring='The dataset that is used to define the '
'available pixel/world components, and '
'which defines the coordinate frame in '
'which the images are shown')
slices = DDCProperty(docstring='The current slice along all dimensions')
color_mode = DDSCProperty(0, docstring='Whether each layer can have '
'its own colormap (``Colormaps``) or '
'whether each layer is assigned '
'a single color (``One color per layer``)')
dpi = DDCProperty(72, docstring='The resolution (in dots per inch) of density maps, if present')
def __init__(self, **kwargs):
super(ImageViewerState, self).__init__()
self.limits_cache = {}
# NOTE: we don't need to use StateAttributeLimitsHelper here because
# we can simply call reset_limits below when x/y attributes change.
# Using StateAttributeLimitsHelper makes things a lot slower.
self.ref_data_helper = ManualDataComboHelper(self, 'reference_data')
self.xw_att_helper = ComponentIDComboHelper(self, 'x_att_world',
numeric=False, categorical=False)
self.yw_att_helper = ComponentIDComboHelper(self, 'y_att_world',
numeric=False, categorical=False)
self.add_callback('reference_data', self._reference_data_changed, priority=1000)
self.add_callback('layers', self._layers_changed, priority=1000)
self.add_callback('x_att', self._on_xatt_change, priority=500)
self.add_callback('y_att', self._on_yatt_change, priority=500)
self.add_callback('x_att_world', self._on_xatt_world_change, priority=1000)
self.add_callback('y_att_world', self._on_yatt_world_change, priority=1000)
aspect_display = {'equal': 'Square Pixels', 'auto': 'Automatic'}
ImageViewerState.aspect.set_choices(self, ['equal', 'auto'])
ImageViewerState.aspect.set_display_func(self, aspect_display.get)
ImageViewerState.color_mode.set_choices(self, ['Colormaps', 'One color per layer'])
self.update_from_dict(kwargs)
[docs] def reset_limits(self):
if self.reference_data is None or self.x_att is None or self.y_att is None:
return
nx = self.reference_data.shape[self.x_att.axis]
ny = self.reference_data.shape[self.y_att.axis]
with delay_callback(self, 'x_min', 'x_max', 'y_min', 'y_max'):
self.x_min = -0.5
self.x_max = nx - 0.5
self.y_min = -0.5
self.y_max = ny - 0.5
# We need to adjust the limits in here to avoid triggering all
# the update events then changing the limits again.
self._adjust_limits_aspect()
@property
def _display_world(self):
return isinstance(getattr(self.reference_data, 'coords', None), Coordinates)
def _reference_data_changed(self, *args):
# This signal can get emitted if just the choices but not the actual
# reference data change, so we check here that the reference data has
# actually changed
if self.reference_data is not getattr(self, '_last_reference_data', None):
self._last_reference_data = self.reference_data
# Note that we deliberately use nested delay_callback here, because
# we want to make sure that x_att_world and y_att_world both get
# updated first, then x_att and y_att can be changed, before
# subsequent events are fired.
with delay_callback(self, 'x_att', 'y_att'):
with delay_callback(self, 'x_att_world', 'y_att_world', 'slices'):
if self._display_world:
self.xw_att_helper.pixel_coord = False
self.yw_att_helper.pixel_coord = False
self.xw_att_helper.world_coord = True
self.yw_att_helper.world_coord = True
else:
self.xw_att_helper.pixel_coord = True
self.yw_att_helper.pixel_coord = True
self.xw_att_helper.world_coord = False
self.yw_att_helper.world_coord = False
self._update_combo_att()
self._set_default_slices()
def _layers_changed(self, *args):
# The layers callback gets executed if anything in the layers changes,
# but we only care about whether the actual set of 'layer' attributes
# for all layers change.
layers_data = self.layers_data
layers_data_cache = getattr(self, '_layers_data_cache', [])
if layers_data == layers_data_cache:
return
self._update_combo_ref_data()
self._set_reference_data()
self._update_syncing()
self._layers_data_cache = layers_data
def _update_syncing(self):
# If there are multiple layers for a given dataset, we disable the
# syncing by default.
layer_state_by_data = defaultdict(list)
for layer_state in self.layers:
if isinstance(layer_state.layer, BaseData):
layer_state_by_data[layer_state.layer].append(layer_state)
for data, layer_states in layer_state_by_data.items():
if len(layer_states) > 1:
for layer_state in layer_states:
# Scatter layers don't have global_sync so we need to be
# careful here and make sure we return a default value
if getattr(layer_state, 'global_sync', False):
layer_state.global_sync = False
def _update_combo_ref_data(self):
self.ref_data_helper.set_multiple_data(self.layers_data)
def _update_combo_att(self):
with delay_callback(self, 'x_att_world', 'y_att_world'):
if self.reference_data is None:
self.xw_att_helper.set_multiple_data([])
self.yw_att_helper.set_multiple_data([])
else:
self.xw_att_helper.set_multiple_data([self.reference_data])
self.yw_att_helper.set_multiple_data([self.reference_data])
def _update_priority(self, name):
if name == 'layers':
return 3
elif name == 'reference_data':
return 2
elif name.endswith(('_min', '_max')):
return 0
else:
return 1
@defer_draw
def _on_xatt_change(self, *args):
if self.x_att is not None:
if self._display_world:
self.x_att_world = self.reference_data.world_component_ids[self.x_att.axis]
else:
self.x_att_world = self.x_att
@defer_draw
def _on_yatt_change(self, *args):
if self.y_att is not None:
if self._display_world:
self.y_att_world = self.reference_data.world_component_ids[self.y_att.axis]
else:
self.y_att_world = self.y_att
@defer_draw
def _on_xatt_world_change(self, *args):
if self.x_att_world is not None:
with delay_callback(self, 'y_att_world', 'x_att'):
if self.x_att_world == self.y_att_world:
world_ids = self.reference_data.world_component_ids
if self.x_att_world == world_ids[-1]:
self.y_att_world = world_ids[-2]
else:
self.y_att_world = world_ids[-1]
if self._display_world:
index = self.reference_data.world_component_ids.index(self.x_att_world)
self.x_att = self.reference_data.pixel_component_ids[index]
else:
self.x_att = self.x_att_world
@defer_draw
def _on_yatt_world_change(self, *args):
if self.y_att_world is not None:
with delay_callback(self, 'x_att_world', 'y_att'):
if self.y_att_world == self.x_att_world:
world_ids = self.reference_data.world_component_ids
if self.y_att_world == world_ids[-1]:
self.x_att_world = world_ids[-2]
else:
self.x_att_world = world_ids[-1]
if self._display_world:
index = self.reference_data.world_component_ids.index(self.y_att_world)
self.y_att = self.reference_data.pixel_component_ids[index]
else:
self.y_att = self.y_att_world
def _set_reference_data(self):
if self.reference_data is None:
for layer in self.layers:
if isinstance(layer.layer, BaseData):
self.reference_data = layer.layer
return
def _set_default_slices(self):
# Need to make sure this gets called immediately when reference_data is changed
if self.reference_data is None:
self.slices = ()
else:
self.slices = (0,) * self.reference_data.ndim
[docs] @property
def numpy_slice_aggregation_transpose(self):
"""
Returns slicing information usable by Numpy.
This returns two objects: the first is an object that can be used to
slice Numpy arrays and return a 2D array, and the second object is a
boolean indicating whether to transpose the result.
"""
if self.reference_data is None:
return None
slices = []
agg_func = []
for i in range(self.reference_data.ndim):
if i == self.x_att.axis or i == self.y_att.axis:
slices.append(slice(None))
agg_func.append(None)
else:
if isinstance(self.slices[i], AggregateSlice):
slices.append(self.slices[i].slice)
agg_func.append(self.slices[i].function)
else:
slices.append(self.slices[i])
transpose = self.y_att.axis > self.x_att.axis
return slices, agg_func, transpose
[docs] @property
def wcsaxes_slice(self):
"""
Returns slicing information usable by WCSAxes.
This returns an iterable of slices, and including ``'x'`` and ``'y'``
for the dimensions along which we are not slicing.
"""
if self.reference_data is None:
return None
slices = []
for i in range(self.reference_data.ndim):
if i == self.x_att.axis:
slices.append('x')
elif i == self.y_att.axis:
slices.append('y')
else:
if isinstance(self.slices[i], AggregateSlice):
slices.append(self.slices[i].center)
else:
slices.append(self.slices[i])
return slices[::-1]
[docs] def flip_x(self):
"""
Flip the x_min/x_max limits.
"""
with delay_callback(self, 'x_min', 'x_max'):
self.x_min, self.x_max = self.x_max, self.x_min
[docs] def flip_y(self):
"""
Flip the y_min/y_max limits.
"""
with delay_callback(self, 'y_min', 'y_max'):
self.y_min, self.y_max = self.y_max, self.y_min
class BaseImageLayerState(MatplotlibLayerState):
_viewer_callbacks_set = False
_image_cache = None
_pixel_cache = None
def get_sliced_data_shape(self, view=None):
if (self.viewer_state.reference_data is None or
self.viewer_state.x_att is None or
self.viewer_state.y_att is None):
return None
x_axis = self.viewer_state.x_att.axis
y_axis = self.viewer_state.y_att.axis
shape = self.viewer_state.reference_data.shape
shape_slice = shape[y_axis], shape[x_axis]
if view is None:
return shape_slice
else:
return view_shape(shape_slice, view)
def get_sliced_data(self, view=None, bounds=None):
full_view, agg_func, transpose = self.viewer_state.numpy_slice_aggregation_transpose
x_axis = self.viewer_state.x_att.axis
y_axis = self.viewer_state.y_att.axis
# For this method, we make use of Data.compute_fixed_resolution_buffer,
# which requires us to specify bounds in the form (min, max, nsteps).
# We also allow view to be passed here (which is a normal Numpy view)
# and, if given, translate it to bounds. If neither are specified,
# we behave as if view was [slice(None), slice(None)].
def slice_to_bound(slc, size):
min, max, step = slc.indices(size)
n = (max - min - 1) // step
max = min + step * n
return (min, max, n + 1)
if bounds is None:
# The view should be that which should just be applied to the data
# slice, not to all the dimensions of the data - thus it should have at
# most two dimensions
if view is None:
view = [slice(None), slice(None)]
elif len(view) == 1:
view = view + [slice(None)]
elif len(view) > 2:
raise ValueError('view should have at most two elements')
full_view[x_axis] = view[1]
full_view[y_axis] = view[0]
else:
full_view[x_axis] = bounds[1]
full_view[y_axis] = bounds[0]
for i in range(self.viewer_state.reference_data.ndim):
if isinstance(full_view[i], slice):
full_view[i] = slice_to_bound(full_view[i], self.viewer_state.reference_data.shape[i])
# We now get the fixed resolution buffer
if isinstance(self.layer, BaseData):
image = self.layer.compute_fixed_resolution_buffer(full_view, target_data=self.viewer_state.reference_data,
target_cid=self.attribute, broadcast=False, cache_id=self.uuid)
else:
image = self.layer.data.compute_fixed_resolution_buffer(full_view, target_data=self.viewer_state.reference_data,
subset_state=self.layer.subset_state, broadcast=False, cache_id=self.uuid)
# We apply aggregation functions if needed
if agg_func is None:
if image.ndim != 2:
raise IncompatibleDataException()
else:
if image.ndim != len(agg_func):
raise ValueError("Sliced image dimensions ({0}) does not match "
"aggregation function list ({1})"
.format(image.ndim, len(agg_func)))
for axis in range(image.ndim - 1, -1, -1):
func = agg_func[axis]
if func is not None:
image = func(image, axis=axis)
if image.ndim != 2:
raise ValueError("Image after aggregation should have two dimensions")
# And finally we transpose the data if the order of x/y is different
# from the native order.
if transpose:
image = image.transpose()
return image
[docs]class ImageLayerState(BaseImageLayerState):
"""
A state class that includes all the attributes for data layers in an image plot.
"""
attribute = DDSCProperty(docstring='The attribute shown in the layer')
v_min = DDCProperty(docstring='The lower level shown')
v_max = DDCProperty(docstring='The upper level shown')
percentile = DDSCProperty(docstring='The percentile value used to '
'automatically calculate levels')
contrast = DDCProperty(1, docstring='The contrast of the layer')
bias = DDCProperty(0.5, docstring='A constant value that is added to the '
'layer before rendering')
cmap = DDCProperty(docstring='The colormap used to render the layer')
stretch = DDSCProperty(docstring='The stretch used to render the layer, '
'which should be one of ``linear``, '
'``sqrt``, ``log``, or ``arcsinh``')
global_sync = DDCProperty(True, docstring='Whether the color and transparency '
'should be synced with the global '
'color and transparency for the data')
def __init__(self, layer=None, viewer_state=None, **kwargs):
self.uuid = str(uuid.uuid4())
super(ImageLayerState, self).__init__(layer=layer, viewer_state=viewer_state)
self.attribute_lim_helper = StateAttributeLimitsHelper(self, attribute='attribute',
percentile='percentile',
lower='v_min', upper='v_max')
self.attribute_att_helper = ComponentIDComboHelper(self, 'attribute',
numeric=True, categorical=False)
percentile_display = {100: 'Min/Max',
99.5: '99.5%',
99: '99%',
95: '95%',
90: '90%',
'Custom': 'Custom'}
ImageLayerState.percentile.set_choices(self, [100, 99.5, 99, 95, 90, 'Custom'])
ImageLayerState.percentile.set_display_func(self, percentile_display.get)
stretch_display = {'linear': 'Linear',
'sqrt': 'Square Root',
'arcsinh': 'Arcsinh',
'log': 'Logarithmic'}
ImageLayerState.stretch.set_choices(self, ['linear', 'sqrt', 'arcsinh', 'log'])
ImageLayerState.stretch.set_display_func(self, stretch_display.get)
self.add_callback('global_sync', self._update_syncing)
self.add_callback('layer', self._update_attribute)
self._update_syncing()
if layer is not None:
self._update_attribute()
self.update_from_dict(kwargs)
if self.cmap is None:
self.cmap = colormaps.members[0][1]
def _update_attribute(self, *args):
if self.layer is not None:
self.attribute_att_helper.set_multiple_data([self.layer])
self.attribute = self.layer.main_components[0]
def _update_priority(self, name):
if name == 'layer':
return 3
elif name == 'attribute':
return 2
elif name == 'global_sync':
return 1.5
elif name.endswith(('_min', '_max')):
return 0
else:
return 1
def _update_syncing(self, *args):
if self.global_sync:
self._sync_color.enable_syncing()
self._sync_alpha.enable_syncing()
else:
self._sync_color.disable_syncing()
self._sync_alpha.disable_syncing()
def _get_image(self, view=None):
return self.layer[self.attribute, view]
[docs] def flip_limits(self):
"""
Flip the image levels.
"""
self.attribute_lim_helper.flip_limits()
[docs] def reset_contrast_bias(self):
with delay_callback(self, 'contrast', 'bias'):
self.contrast = 1
self.bias = 0.5
[docs]class ImageSubsetLayerState(BaseImageLayerState):
"""
A state class that includes all the attributes for subset layers in an image plot.
"""
# TODO: we can save memory by not showing subset multiple times for
# different image datasets since the footprint should be the same.
def __init__(self, *args, **kwargs):
self.uuid = str(uuid.uuid4())
super(ImageSubsetLayerState, self).__init__(*args, **kwargs)
def _get_image(self, view=None):
return self.layer.to_mask(view=view)