import numpy
import sas.qtgui.Utilities.GuiUtils as GuiUtils
from .BaseInteractor import BaseInteractor
from sas.qtgui.Plotting.PlotterData import Data1D
from sas.qtgui.Utilities.GuiUtils import formatNumber
from sas.qtgui.Plotting.SlicerModel import SlicerModel
[docs]class AnnulusInteractor(BaseInteractor, SlicerModel):
"""
Select an annulus through a 2D plot.
This interactor is used to average 2D data with the region
defined by 2 radius.
this class is defined by 2 Ringinterators.
"""
def __init__(self, base, axes, item=None, color='black', zorder=3):
BaseInteractor.__init__(self, base, axes, color=color)
SlicerModel.__init__(self)
self.markers = []
self.axes = axes
self.base = base
self._item = item
self.qmax = max(numpy.fabs(self.data.xmax),
numpy.fabs(self.data.xmin)) # must be positive
self.dqmin = min(numpy.fabs(self.data.qx_data))
self.connect = self.base.connect
# Number of points on the plot
self.nbins = 36
# Cursor position of Rings (Left(-1) or Right(1))
self.xmaxd = self.data.xmax
self.xmind = self.data.xmin
if (self.xmaxd + self.xmind) > 0:
self.sign = 1
else:
self.sign = -1
# Inner circle
self.inner_circle = RingInteractor(self, self.axes,
zorder=zorder,
r=self.qmax / 2.0, sign=self.sign)
self.inner_circle.qmax = self.qmax
self.outer_circle = RingInteractor(self, self.axes,
zorder=zorder + 1, r=self.qmax / 1.8,
sign=self.sign)
self.outer_circle.qmax = self.qmax * 1.2
self.update()
self._post_data()
self.setModelFromParams()
[docs] def set_layer(self, n):
"""
Allow adding plot to the same panel
:param n: the number of layer
"""
self.layernum = n
self.update()
[docs] def clear(self):
"""
Clear the slicer and all connected events related to this slicer
"""
self.clear_markers()
self.outer_circle.clear()
self.inner_circle.clear()
self.base.connect.clearall()
[docs] def update(self):
"""
Respond to changes in the model by recalculating the profiles and
resetting the widgets.
"""
# Update locations
self.inner_circle.update()
self.outer_circle.update()
[docs] def save(self, ev):
"""
Remember the roughness for this layer and the next so that we
can restore on Esc.
"""
self.inner_circle.save(ev)
self.outer_circle.save(ev)
def _post_data(self, nbins=None):
"""
Uses annulus parameters to plot averaged data into 1D data.
:param nbins: the number of points to plot
"""
# Data to average
data = self.data
if data is None:
return
from sas.sascalc.dataloader.manipulations import Ring
rmin = min(numpy.fabs(self.inner_circle.get_radius()),
numpy.fabs(self.outer_circle.get_radius()))
rmax = max(numpy.fabs(self.inner_circle.get_radius()),
numpy.fabs(self.outer_circle.get_radius()))
# If the user does not specify the numbers of points to plot
# the default number will be nbins= 36
if nbins is None:
self.nbins = 36
else:
self.nbins = nbins
# Create the data1D Q average of data2D
sect = Ring(r_min=rmin, r_max=rmax, nbins=self.nbins)
sector = sect(self.data)
if hasattr(sector, "dxl"):
dxl = sector.dxl
else:
dxl = None
if hasattr(sector, "dxw"):
dxw = sector.dxw
else:
dxw = None
new_plot = Data1D(x=(sector.x - numpy.pi) * 180 / numpy.pi,
y=sector.y, dy=sector.dy)
new_plot.dxl = dxl
new_plot.dxw = dxw
new_plot.name = "AnnulusPhi" + "(" + self.data.name + ")"
new_plot.title = "AnnulusPhi" + "(" + self.data.name + ")"
new_plot.source = self.data.source
new_plot.interactive = True
new_plot.detector = self.data.detector
# If the data file does not tell us what the axes are, just assume...
new_plot.xaxis("\\rm{\phi}", 'degrees')
new_plot.yaxis("\\rm{Intensity} ", "cm^{-1}")
if hasattr(data, "scale") and data.scale == 'linear' and \
self.data.name.count("Residuals") > 0:
new_plot.ytransform = 'y'
new_plot.yaxis("\\rm{Residuals} ", "/")
new_plot.group_id = "AnnulusPhi" + self.data.name
new_plot.id = "AnnulusPhi" + self.data.name
new_plot.is_data = True
new_plot.xtransform = "x"
new_plot.ytransform = "y"
item = self._item
if self._item.parent() is not None:
item = self._item.parent()
GuiUtils.updateModelItemWithPlot(item, new_plot, new_plot.id)
self.base.manager.communicator.plotUpdateSignal.emit([new_plot])
self.base.manager.communicator.forcePlotDisplaySignal.emit([item, new_plot])
if self.update_model:
self.setModelFromParams()
self.draw()
[docs] def validate(self, param_name, param_value):
"""
Test the proposed new value "value" for row "row" of parameters
"""
#Set minimum difference in outer/inner ring to ensure data exists in annulus
MIN_DIFFERENCE = self.dqmin
isValid = True
if param_name == 'inner_radius':
# First, check the closeness
if numpy.fabs(param_value - self.getParams()['outer_radius']) < MIN_DIFFERENCE:
print("Inner and outer radii too close. Please adjust.")
isValid = False
elif param_value > self.qmax:
print("Inner radius exceeds maximum range. Please adjust.")
isValid = False
elif param_name == 'outer_radius':
# First, check the closeness
if numpy.fabs(param_value - self.getParams()['inner_radius']) < MIN_DIFFERENCE:
print("Inner and outer radii too close. Please adjust.")
isValid = False
elif param_value > self.qmax:
print("Outer radius exceeds maximum range. Please adjust.")
isValid = False
elif param_name == 'nbins':
# Can't be 0
if param_value < 1:
print("Number of bins cannot be less than or equal to 0. Please adjust.")
isValid = False
return isValid
[docs] def moveend(self, ev):
"""
Called when any dragging motion ends.
Redraw the plot with new parameters.
"""
self._post_data(self.nbins)
[docs] def restore(self):
"""
Restore the roughness for this layer.
"""
self.inner_circle.restore()
self.outer_circle.restore()
[docs] def move(self, x, y, ev):
"""
Process move to a new position, making sure that the move is allowed.
"""
pass
[docs] def set_cursor(self, x, y):
pass
[docs] def getParams(self):
"""
Store a copy of values of parameters of the slicer into a dictionary.
:return params: the dictionary created
"""
params = {}
params["inner_radius"] = numpy.fabs(self.inner_circle._inner_mouse_x)
params["outer_radius"] = numpy.fabs(self.outer_circle._inner_mouse_x)
params["nbins"] = self.nbins
return params
[docs] def setParams(self, params):
"""
Receive a dictionary and reset the slicer with values contained
in the values of the dictionary.
:param params: a dictionary containing name of slicer parameters and
values the user assigned to the slicer.
"""
inner = numpy.fabs(params["inner_radius"])
outer = numpy.fabs(params["outer_radius"])
self.nbins = int(params["nbins"])
# Update the picture
self.inner_circle.set_cursor(inner, self.inner_circle._inner_mouse_y)
self.outer_circle.set_cursor(outer, self.outer_circle._inner_mouse_y)
# Post the data given the nbins entered by the user
self._post_data(self.nbins)
[docs] def draw(self):
"""
"""
self.base.draw()
[docs]class RingInteractor(BaseInteractor):
"""
Draw a ring Given a radius
"""
def __init__(self, base, axes, color='black', zorder=5, r=1.0, sign=1):
"""
:param: the color of the line that defined the ring
:param r: the radius of the ring
:param sign: the direction of motion the the marker
"""
BaseInteractor.__init__(self, base, axes, color=color)
self.markers = []
self.axes = axes
# Current radius of the ring
self._inner_mouse_x = r
# Value of the center of the ring
self._inner_mouse_y = 0
# previous value of that radius
self._inner_save_x = r
# Save value of the center of the ring
self._inner_save_y = 0
# Class instantiating RingIterator class
self.base = base
# the direction of the motion of the marker
self.sign = sign
# # Create a marker
# Inner circle marker
x_value = [self.sign * numpy.fabs(self._inner_mouse_x)]
self.inner_marker = self.axes.plot(x_value, [0], linestyle='',
marker='s', markersize=10,
color=self.color, alpha=0.6,
pickradius=5, label="pick",
zorder=zorder,
visible=True)[0]
# Draw a circle
[self.inner_circle] = self.axes.plot([], [], linestyle='-', marker='', color=self.color)
# The number of points that make the ring line
self.npts = 40
self.connect_markers([self.inner_marker])
self.update()
[docs] def set_layer(self, n):
"""
Allow adding plot to the same panel
:param n: the number of layer
"""
self.layernum = n
self.update()
[docs] def clear(self):
"""
Clear the slicer and all connected events related to this slicer
"""
self.clear_markers()
self.inner_marker.remove()
self.inner_circle.remove()
[docs] def get_radius(self):
"""
:return self._inner_mouse_x: the current radius of the ring
"""
return self._inner_mouse_x
[docs] def update(self):
"""
Draw the new roughness on the graph.
"""
# Plot inner circle
x = []
y = []
for i in range(self.npts):
phi = 2.0 * numpy.pi / (self.npts - 1) * i
xval = 1.0 * self._inner_mouse_x * numpy.cos(phi)
yval = 1.0 * self._inner_mouse_x * numpy.sin(phi)
x.append(xval)
y.append(yval)
self.inner_marker.set(xdata=[self.sign * numpy.fabs(self._inner_mouse_x)],
ydata=[0])
self.inner_circle.set_data(x, y)
[docs] def save(self, ev):
"""
Remember the roughness for this layer and the next so that we
can restore on Esc.
"""
self._inner_save_x = self._inner_mouse_x
self._inner_save_y = self._inner_mouse_y
[docs] def moveend(self, ev):
"""
Called after a dragging motion
"""
self.base.moveend(ev)
[docs] def restore(self):
"""
Restore the roughness for this layer.
"""
self._inner_mouse_x = self._inner_save_x
self._inner_mouse_y = self._inner_save_y
[docs] def move(self, x, y, ev):
"""
Process move to a new position, making sure that the move is allowed.
"""
self._inner_mouse_x = x
self._inner_mouse_y = y
self.base.base.update()
[docs] def set_cursor(self, x, y):
"""
draw the ring given x, y value
"""
self.move(x, y, None)
self.update()
[docs] def getParams(self):
"""
Store a copy of values of parameters of the slicer into a dictionary.
:return params: the dictionary created
"""
params = {}
params["radius"] = numpy.fabs(self._inner_mouse_x)
return params
[docs] def setParams(self, params):
"""
Receive a dictionary and reset the slicer with values contained
in the values of the dictionary.
:param params: a dictionary containing name of slicer parameters and
values the user assigned to the slicer.
"""
x = params["radius"]
self.set_cursor(x, self._inner_mouse_y)