def body(self, bodyFrame):
figFrame = FigureFrame(bodyFrame, figsize=(18, 9))
figFrame.grid(row=0, column=0, columnspan=5)
#self._runBeforePreWhitening(self.prot)
dialog.FlashMessage(self.form.root, "Running Pre-Whitening tool...",
func=self._runBeforePreWhitening)
results = self.results
self.figure = figFrame.getFigure() #plt.figure(figsize=(18, 9))
self._runPreWhitening(results['newElbowAngstrom'],
results['newRampWeight'])
#bodyFrame.config()
bodyFrame.columnconfigure(0, weight=1)
bodyFrame.rowconfigure(0, weight=1)
controlsFrame = tk.Frame(bodyFrame)
controlsFrame.grid(row=1, column=0)
self.elbowSlider = LabelSlider(controlsFrame, "Angstroms", from_=2.1*results['vxSize'], to=100,
value=results['newElbowAngstrom'])
self.elbowSlider.grid(row=1, column=0, padx=5, pady=5)
self.rampSlider = LabelSlider(controlsFrame, "Ramp weight", from_=0.0, to=1.,
value=results['newRampWeight'])
self.rampSlider.grid(row=1, column=1, padx=5, pady=5)
self.updateBtn = HotButton(controlsFrame, " Update ",
command=self._onUpdate,
tooltip="Update plots with new pre-whitening parameters.")
self.updateBtn.grid(row=1, column=2, padx=10, pady=5)
def _createFigureBox(self, content):
from pyworkflow.gui.matplotlib_image import FigureFrame
figFrame = FigureFrame(content, figsize=(6, 6))
figFrame.grid(row=0, column=0, padx=5, columnspan=2)
self.figure = figFrame.figure
applyBtn = HotButton(content, text='Apply B-factor',
command=self._onApplyBfactorClick)
applyBtn.grid(row=1, column=0, sticky='ne', padx=5, pady=5)
closeBtn = Button(content, text='Close', imagePath=Icon.ACTION_CLOSE,
command=self.close)
closeBtn.grid(row=1, column=1, sticky='ne', padx=5, pady=5)
def _createFigureBox(self, content):
from pyworkflow.gui.matplotlib_image import FigureFrame
figFrame = FigureFrame(content, figsize=(6, 6))
figFrame.grid(row=0, column=0, padx=5, columnspan=2)
self.figure = figFrame.figure
applyBtn = HotButton(content, text='Apply B-factor',
command=self._onApplyBfactorClick)
applyBtn.grid(row=1, column=0, sticky='ne', padx=5, pady=5)
closeBtn = Button(content, text='Close', imagePath=Icon.ACTION_CLOSE,
command=self.close)
closeBtn.grid(row=1, column=1, sticky='ne', padx=5, pady=5)
def body(self, bodyFrame):
figFrame = FigureFrame(bodyFrame, figsize=(18, 9))
figFrame.grid(row=0, column=0, columnspan=5)
#self._runBeforePreWhitening(self.prot)
dialog.FlashMessage(self.form.root,
"Running Pre-Whitening tool...",
func=self._runBeforePreWhitening)
results = self.results
self.figure = figFrame.getFigure() #plt.figure(figsize=(18, 9))
self._runPreWhitening(results['newElbowAngstrom'],
results['newRampWeight'])
#bodyFrame.config()
bodyFrame.columnconfigure(0, weight=1)
bodyFrame.rowconfigure(0, weight=1)
controlsFrame = tk.Frame(bodyFrame)
controlsFrame.grid(row=1, column=0)
self.elbowSlider = LabelSlider(controlsFrame,
"Angstroms",
from_=2.1 * results['vxSize'],
to=100,
value=results['newElbowAngstrom'])
self.elbowSlider.grid(row=1, column=0, padx=5, pady=5)
self.rampSlider = LabelSlider(controlsFrame,
"Ramp weight",
from_=0.0,
to=1.,
value=results['newRampWeight'])
self.rampSlider.grid(row=1, column=1, padx=5, pady=5)
self.updateBtn = HotButton(
controlsFrame,
" Update ",
command=self._onUpdate,
tooltip="Update plots with new pre-whitening parameters.")
self.updateBtn.grid(row=1, column=2, padx=10, pady=5)