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view_models.py
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view_models.py
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#!/usr/bin/env python
"""
This file is part of Sprout.
Sprout is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Sprout is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Sprout. If not, see <http://www.gnu.org/licenses/>.
Copyright 2013, Michihiro Takami, Hyosun Kim, Jennifer Karr
All rights reserved.
Contact: Jennifer Karr (jkarr@asiaa.sinica.edu.tw)
-----
This is the GUI for viewing models created by run_models.py
Version 1.0 (release) Last Updated May 25 2013
"""
from Tkinter import *
import tkMessageBox
import tkFileDialog
from pylab import *
import scipy
import scipy.stats
import numpy
import numpy.ma as ma
from numpy import outer
import pickle
import pyfits
import Pmw
import os
import string
import sys
import convolve_psf as c
import congrid
from textfile_window import *
##------------------------------------------------------------------------
class cmap_window(Frame):
def __init__(self,master=None):
"""
This routine creates a popup window to select colour maps, and will display
a view of the available colour maps.
"""
Frame.__init__(self,master)
##CURRENT SPECTRAL MAP AND LIST OF OPTIONS
self.cmap='spectral'
##LIST OF COLOUR MAPS
self.cmaps=['spectral','autumn','bone','cool','copper','flag','gray','hot','hsv','jet','pink','prism','spring','summer','winter']
self.cmaps_num=range(15)
self.col=IntVar() ##VARIABE TO HOLD COLOUR CHOICE
##CREATE WINDOW AND GET LIST
top=Toplevel(self)
fm=Frame(top,relief=RAISED, bd=1)
mb2=Button(fm,text='Done',command=top.destroy).pack(side=LEFT,anchor=W)
mb2=Button(fm,text='Show Colours',command=self.cmap_show).pack(side=LEFT,anchor=W)
fm.pack()
fm=Frame(top,relief=RAISED, bd=1)
i=0
for i in range(len(self.cmaps)):
col=self.cmaps[i]
mb2=Radiobutton(fm,text=col,variable=self.col,value=i,command=self.cmap_get).pack(side=TOP,anchor=W)
fm.pack()
##SET TO DEFAULT VALUE
self.col.set(0)
##------------------------------------------------------------------------
def cmap_get(self):
##SET THE COLOUR MAP
self.cmap=self.cmaps[self.col.get()]
##------------------------------------------------------------------------
def cmap_show(self):
"""
A routine to show the availible colour maps in graphical form.
"""
##SHOW THE AVAILABLE COLOUR MAPS GRAPHICALLY
##CREATE A NEW FIGURE AND CLEAR IT
fig=figure(3)
clf()
##CREATE AN ARRAY THAT VARIES FROM ZERO TO ONE IN THE X AXIS,
##AND IS CONSTANT IN THE Y AXIS
a=outer(ones(10),arange(0,1,0.01))
i=0
##FOR EACH COLOUR
for col in self.cmaps:
subplot(len(self.cmaps),1,i)
##THIS PLOTS A BAND STRETCHING OVER THE WHOLE COLOUR MAP
plot=imshow(a,aspect='auto',cmap=get_cmap(col),origin="lower")
##NO TICKMARKS
plot.axes.get_xaxis().set_ticks([])
plot.axes.get_yaxis().set_ticks([])
##AND LABELS IT WITH THE COLOUR NAME
annotate(col, (0,1),color='white')
i=i+1
##AND RESET THE FIGURE NUMBER
fig=figure(1)
if(string.lower(sys.platform) != "darwin"):
show()
##------------------------------------------------------------------------
class parameter_view(Frame):
def __init__(self,master=None):
"""
This is the class for creating a GUI to run a grid of models.
"""
Frame.__init__(self,master)
##INITIALIZE VARIABLES
##GENERAL VARIABLES
self.convol=IntVar() ##FLAG FOR CONVOLUTION WITH PSF
self.masksize=StringVar() ##MASK SIZE IN PIXELS
self.loaded=0 ##HAS THE DATA BEEN LOADED
self.image_log=IntVar() ##FLAG FOR LOG IMAGE
self.contour_loaded=0 ##HAS TEH CONTOUR BEEN LOADED
self.which_pol=StringVar() ##VARIABLE FOR WHICH DISPLAY MODE TO USE
##CONTOUR VARIABLES
self.contour=IntVar() ##FLAG FOR PLOTTING CONTOURS
self.contour_num=IntVar() ##NUMBER OF CONTOURS
self.contour_low=DoubleVar() ##LOW CONTOUR VALUE
self.contour_high=DoubleVar() ##HIGH CONTOUR VALUE
self.contour_log=IntVar() ##FLAG FOR LOG CONTOURS
self.contour_cust=IntVar() ##FLAG FOR CUSTOM CONTOURS
self.contour_levels=StringVar() ##VALUES OF CONTOURS
self.contour_colour=StringVar() ##COLOUR OF CONTOURS
self.rotvar=DoubleVar() ##ROTATION OF THE CONTOURS
##H, BETA, RHO AND ANGLE VARIABES FOR SCROLLING
self.h_val=StringVar() ##CURRENT H VALUE
self.beta_val=StringVar() ##CURRENT BETA VALUE
self.rho_val=StringVar() ##CURRENT RHO VALUE
self.angle_val=DoubleVar() ##CURRENT ANGLE VALUE
##VARIABLES FOR BATCH PLOT
self.p_angle_val1=StringVar() ##FIRST ANGLE FOR BATCH PLOT
self.p_angle_val2=StringVar() ##SECOND ANGLE FOR BATCH PLOT
self.p_h_val1=StringVar() ##FIRST H FOR BATCH PLOT
self.p_h_val2=StringVar() ##SECOND H FOR BATCH PLOT
self.p_rho_val1=StringVar() ##FIRST RHO FOR BATCH PLOT
self.p_rho_val2=StringVar() ##SECOND RHO FOR BATCH PLOT
self.p_beta_val1=StringVar() ##FIRST BETA FOR BATCH PLOT
self.p_beta_val2=StringVar() ##SECOND BETA FOR BATCH PLOT
self.choice1=IntVar() ##FIRST VARIABLE FOR BATCH PLOT
self.choice2=IntVar() ##SECOND VARIABLE FOR BATCH PLOT
##POLARIZATION VECTOR VARIABLES
self.showvect=IntVar() ##FLAG FOR SHOWING POLARIZATION VECTORS
self.vectsamp=StringVar() ##VECTOR RESAMPLING FACTOR
self.vectscale=StringVar() ##VECTOR SCALING FACTOR
self.vectcolour=StringVar() ##VECTOR COLOUR
##PROFILE VARIABLES
self.prof=IntVar() ##FLAG TO SELECT SLICE OR WEDGE
self.whichax=IntVar() ##VARIABLE TO SELECT WHICH AXIS TO TAKE THE PROFILE
self.profangle=StringVar() ##ANGLE IN DEGREES FOR THE WEDGE PROFILE
self.profwidth=StringVar() ##WIDTH IN PIXELS FOR THE SLICE PROFILE
self.profunit=StringVar() ##VARIABILE TO SET THE UNITS (DEGREES OR PIXELS)
self.whichlab=StringVar() ##VARIABILE TO SET THE LABEL (WIDTH/ANGLE)
self.proflogx=IntVar() ##FLAG FOR LOG SCALE IN X AXIS
self.proflogy=IntVar() ##FLAG FOR LOG SCALE IN Y AXIS
self.datascale=StringVar() ##FACTOR BY WHICH TO SCALE THE DATA
self.xo=0 ##VARIABLES FOR ROTATION
self.yo=0
##LABEL AND TYPES FOR PLOTS
self.plottype={"PI Image":0,"I Image":1,"Q Image":2,"U Image":3,"V Image":4,"Density Distribution":5,
"Radial Profile (I)":6,"Radial Profile (PI)":7}
self.plotlab={"PI Image":"PI","I Image":"I","Q Image":"Q","U Image":"U","V Image":"V","Density Distribution":"rho",
"Radial Profile (I)":"profi","Radial Profile (PI)":"profpi"}
##PSF VARIABLES
self.whichpsf=IntVar() ##WHICH TYPE OF PSF
self.psfunit=StringVar() ##UNITS LABEL FOR PSF INFO
self.psflab=StringVar() ##LABABEL FOR PSF INFO
self.psfinfo=StringVar() ##USER DEFINED INFO FOR PSF
self.goodpsf=0 ##FLAG FOR GOOD PSF
self.oldpsfinfo="a" ##VARIABLE TO CHECK PSF VALUES
self.convflag=1 ##FLAG TO CHOOSE CONVOLUTION METHOD. SET HERE.
##----------------------------------------------------------------------
##SET UP THE GUI
##TOP BAR - QUITTING AND LOADING OPTIONS
fm=Frame(self, relief=RAISED, bd=1)
mb=Button(fm,text='Quit',command=self.quit).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Help',command=self.show_help).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Load Simulation',command=self.load_simulation_dir).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Load Observations',command=self.load_contour_data).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Save Current File',command=self.save_current).pack(side=LEFT,anchor=W)
fm.pack(side=TOP,anchor=W,fill=X)
##OPTIONS FOR IMAGE DISPLAY TYPE
fm=Frame(self, relief=RAISED, bd=1)
mb=Label(fm,text="Display Format ",width=12).pack(side=LEFT,anchor=W)
opt=OptionMenu(fm,self.which_pol,"PI Image","I Image","Q Image","U Image","V Image","Density Distribution",
"Radial Profile (I)","Radial Profile (PI)",command=self.update_plot)
opt.pack(side=LEFT,anchor=W)
mb=Checkbutton(fm,text="Show Data Contour? ",variable=self.contour, command=self.start_loop).pack(side=LEFT,anchor=W)
mb=Label(fm,text='Contour Rotation (deg)').pack(side=LEFT,anchor=W)
mb=Entry(fm,textvariable=self.rotvar,width=5).pack(side=LEFT,anchor=W)
fm.pack(side=TOP,anchor=W,fill=X)
##SECOND BAR - GLOBAL OPTIONS LINE 1 (PSF)
fm=Frame(self, relief=RAISED, bd=1)
mb=Checkbutton(fm,text="Convolve with PSF?",variable=self.convol, command=self.start_loop).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="Gaussian PSF",variable=self.whichpsf,command=self.set_convol_parms,value=2).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="File PSF",variable=self.whichpsf,command=self.set_convol_parms,value=1).pack(side=LEFT,anchor=W)
self.convtype=Label(fm, textvariable=self.psflab, width=8)
self.convtype.pack(side=LEFT,anchor=W)
mb=Entry(fm,textvariable=self.psfinfo,width=20).pack(side=LEFT,anchor=W)
self.convtype=Label(fm, textvariable=self.psfunit, width=8)
self.convtype.pack(side=LEFT,anchor=W)
fm.pack(side=TOP,anchor=W,fill=X)
self.psfunit.set('pixels')
self.whichpsf.set(2)
self.psfinfo.set('8')
self.psflab.set('FWHM=')
##SECOND BAR - GLOBAL OPTIONS LINE 1 (VECTORS, MASK)
fm=Frame(self, relief=RAISED, bd=1)
mb=Checkbutton(fm, text="Show Polarization Vectors? ",variable=self.showvect, command=self.start_loop).pack(side=LEFT,anchor=W)
mb=Label(fm,text='Mask Size (pixels)').pack(side=LEFT,anchor=W)
mb=Entry(fm,textvariable=self.masksize,width=3).pack(side=LEFT,anchor=W)
fm.pack(side=TOP,anchor=W,fill=X)
##THIRD BAR - GLOBAL OPTIONS LINE 2 (CONTOURS)
##SET ROTATION ANGLE AND MASK SIZE DEFAULTS
fm=Frame(self)
mb=Button(fm,text='Plot/Refresh Plot',command=self.start_loop).pack(side=LEFT,anchor=W)
fm.pack(side=BOTTOM)
##SET DEFAULT VALUES
self.which_pol.set('PI Image')
self.rotvar.set(0)
self.masksize.set('10')
##----------------------------------------------------------------------
##USE PMW NOTEBOOK TABS TO ORGANIZE THE OPTIONS. FOUR TABS, ONE FOR
##THE SCROLLING OPTIONS, ONE FOR IMAGE DISPLAY OPTIONS, ONE FOR
##SNAPSHOT MODE, AND ONE FOR PROFILE DISPLAY OPTIONS
notebook=Pmw.NoteBook(self) ##INITIALIZE THE NOTEBOOK
##FIRST NOTEBOOK WINDOW; SCROLLING OPTIONS
page1 = notebook.add('Model Controls')
notebook.tab('Model Controls').focus_set()
##TITLE
fm=Frame(page1)
Label(fm, text="Model Controls", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
##SCALEBAR FOR ANGLE. INITIALIZE TO ZERO, TO BE UPDATED WHEN MODEL IS LOADED
fm=Frame(page1, relief=RAISED, bd=1)
self.ang_label = Label(fm, text="Angle", width=8).pack(side=LEFT,anchor=W)
self.ang_value = Label(fm, text="", width=10)
self.ang_value.pack(side=LEFT,anchor=W)
fm.pack()
self.angle_scale = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.angle_scale.pack()
fm.pack()
#SCALEBAR FOR H_0. INITIALIZE TO ZERO, TO BE UPDATED WHEN MODEL IS LOADED
fm=Frame(page1, relief=RAISED, bd=1)
self.h_label = Label(fm, text="h_0", width=8).pack(side=LEFT,anchor=W)
self.h_value = Label(fm, text="", width=10)
self.h_value.pack(side=LEFT,anchor=W)
fm.pack()
self.h_scale = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.h_scale.pack()
fm.pack()
##SCALEBAR FOR RHO. INITIALIZE TO ZERO, TO BE UPDATED WHEN MODEL IS LOADED
fm=Frame(page1, relief=RAISED, bd=1)
self.rho_label = Label(fm, text=u"\u03c1_0", width=8).pack(side=LEFT,anchor=W)
self.rho_value = Label(fm, text="", width=10)
self.rho_value.pack(side=LEFT,anchor=W)
fm.pack()
self.rho_scale = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.rho_scale.pack()
fm.pack()
##SCALEBAR FOR BETA. INITIALIZE TO ZERO, TO BE UPDATED WHEN MODEL IS LOADED
fm=Frame(page1, relief=RAISED, bd=1)
self.beta_label = Label(fm, text=u"\u03b2_0", width=8).pack(side=LEFT,anchor=W)
self.beta_value = Label(fm, text="", width=10)
self.beta_value.pack(side=LEFT,anchor=W)
fm.pack()
self.beta_scale = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.beta_scale.pack()
fm.pack()
##OPEN THE DISPLAY WINDOW AND SET UP THE MOUSE BINDINGS FOR ROTATING THE CONTOUR INTERACTIVELY
##CREATE THE FIGURE
self.fig = plt.figure()
ax=self.fig.add_subplot(111)
##ON CLICKING THE MOUSE BUTTON
def onclick(event):
##READ THE X AND Y POSITIONS OF THE START POINT
self.xo=event.xdata
self.yo=event.ydata
##ON RELEASING THE MOUSE BUTTON
def offclick(event):
##READ THE X AND Y POSITIONS OF THE END POINT
self.xn=event.xdata
self.yn=event.ydata
##SET THE ROTATION FLAG TO TELL START_LOOP TO UPDATE
self.rotit=1
##CALCULATE THE CHANGE IN ANGLE, AND ADD IT TO ROTVAR
angle1=180*numpy.arctan(self.yo/self.xo)/numpy.pi
angle2=180*numpy.arctan(self.yn/self.xn)/numpy.pi
self.rotangle=self.rotangle+angle2-angle1
self.rotvar.set(self.rotangle)
##UPDATE THE PLOT
self.start_loop()
##THIS CONNECTS THE TWO ABOVE ROUTINES TO THE MOUSE ACTIONS
cid = self.fig.canvas.mpl_connect('button_press_event', onclick)
cid = self.fig.canvas.mpl_connect('button_release_event', offclick)
##----------------------------------------------------------------------
##SECOND NOTEBOOK TAB - IMAGE OPTIONS
page2 = notebook.add('Image Options')
notebook.tab('Image Options').focus_set()
##TITLE
fm=Frame(page2)
Label(fm, text="Image Options", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
##SCALEBAR FOR SCALE. INITIALIZE TO FULL RANGE
bound=Frame(page2,relief=RAISED, bd=1)
fm=Frame(bound)
self.low_label = Label(fm, text="Lower Limit", width=10).pack(side=LEFT,anchor=W)
self.low_lim = Scale(fm, from_=0, to=100,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.low_lim.pack()
self.low_lim.set(0)
fm.pack()
fm=Frame(bound)
self.high_label = Label(fm, text="Upper Limit", width=10).pack(side=LEFT,anchor=W)
self.high_lim = Scale(fm, from_=0, to=100,
orient=HORIZONTAL, command=self.update_plot, length=300)
self.high_lim.pack()
self.high_lim.set(100)
fm.pack()
fm=Frame(bound)
self.padd = Label(fm, text=" ", width=10).pack(side=LEFT,anchor=W)
fm.pack()
##IMAGE SCALE AND COLOUR OPTIONS
fm=Frame(bound)
mb=Checkbutton(fm,text="Logarithmic Image Scale ",variable=self.image_log,command=self.start_loop).pack(side=LEFT,anchor=W)
mb=Button(fm,text="Change Colour Map",command=self.get_new_cmap).pack(side=LEFT,anchor=W)
fm.pack()
bound.pack(fill=X)
self.image_log.set(0)
##CONTOUR OPTIONS
bound=Frame(page2,relief=RAISED, bd=1)
fm=Frame(bound)
Label(fm, text="Contour Options", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
##LOG OR LINEAR CONTOURS, CONTOUR COLOURS
fm=Frame(bound)
mb=Checkbutton(fm,text="Logarithmic Contours ",variable=self.contour_log).pack(side=LEFT,anchor=W)
self.contour_label = Label(fm, text=" Contour Colour", width=12).pack(side=LEFT,anchor=W)
self.contour_label = Entry(fm, textvariable=self.contour_colour, width=10).pack(side=LEFT,anchor=W)
fm.pack()
bound.pack(fill=X)
self.contour_colour.set('white')
##GENERATE CUSTOM CONTOURS, VIEW DATA STATISTICS
fm=Frame(bound)
mb=Checkbutton(fm,text="Custom Contours",variable=self.contour_cust,command=self.start_loop).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Generate',command=self.generate_contours).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Data Statistics',command=self.calculate_data_stats).pack(side=LEFT,anchor=W)
fm.pack()
self.contour_cust.set(0)
##CHOOSE PARAMETERS FOR CONTOURS
fm=Frame(bound)
self.contour_label = Label(fm, text="Number of Contours", width=20).pack(side=LEFT,anchor=W)
self.contour_label = Entry(fm, textvariable=self.contour_num, width=10).pack(side=LEFT,anchor=W)
self.contour_label = Label(fm, text="Contour Limits", width=15).pack(side=LEFT,anchor=W)
self.contour_label = Entry(fm, textvariable=self.contour_low, width=10).pack(side=LEFT,anchor=W)
self.contour_label = Entry(fm, textvariable=self.contour_high, width=10).pack(side=LEFT,anchor=W)
fm.pack()
##SHOW OR EDIT THE CONTOURS MANUALLY
fm=Frame(bound)
self.contour_label = Label(fm, text="Levels", width=15).pack(side=LEFT,anchor=W)
self.contour_label = Entry(fm, textvariable=self.contour_levels, width=40).pack(side=LEFT,anchor=W)
##A BIT FO PADDING BEFORE FOR VISUAL CLARITY
fm.pack()
fm=Frame(bound)
self.padd = Label(fm, text=" ", width=10).pack(side=LEFT,anchor=W)
fm.pack()
bound.pack(fill=X)
##POLARIZATION VECTOR OPTIONS
fm=Frame(page2)
Label(fm, text="Polarization Options", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
fm=Frame(page2, relief=RAISED, bd=1)
mb=Label(fm,text='Vector Resampling').pack(side=LEFT,anchor=W)
mb=Entry(fm, textvariable=self.vectsamp, width=3).pack(side=LEFT,anchor=W)
mb=Label(fm,text='Length Scale').pack(side=LEFT,anchor=W)
mb=Entry(fm, textvariable=self.vectscale, width=3).pack(side=LEFT,anchor=W)
mb=Label(fm,text='Vector Colour').pack(side=LEFT,anchor=W)
mb=Entry(fm, textvariable=self.vectcolour, width=8).pack(side=LEFT,anchor=W)
fm.pack()
self.vectsamp.set('1')
self.vectscale.set('1')
self.vectcolour.set('white')
##----------------------------------------------------------------------
##THIRD PAGE FOR THE NOTEBOOK; SNAPSHOT VIEW
page3 = notebook.add('Snapshot View')
notebook.tab('Snapshot View').focus_set()
##TITLE
fm=Frame(page3)
Label(fm, text="Snapshot View", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
##BUTTONS FOR MAKING THE IMAGES
fm=Frame(page3)
mb=Button(fm,text='Make Figs',command=self.make_all_figs).pack(side=LEFT,anchor=W)
mb=Button(fm,text='Save All Figs',command=self.cycle_all).pack(side=LEFT,anchor=W)
fm.pack()
##ANGLE VARIABLE SCALES. SET TO ZERO, AS THE DEFAULTS WILL BE RESET WHEN THE
##SIMULATION IS LOADED
fm=Frame(page3, relief=RAISED, bd=1)
mb=Radiobutton(fm,variable=self.choice1,value=1).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,variable=self.choice2,value=1).pack(side=LEFT,anchor=W)
self.p_ang_label = Label(fm, text="Angle Range", width=15).pack(side=LEFT,anchor=W)
self.p_ang_value1 = Label(fm,text="",width=10)
self.p_ang_value1.pack(side=LEFT,anchor=W)
self.p_angle_scale1 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_angle_scale1.pack(side=LEFT,anchor=W)
self.p_ang_value2 = Label(fm,text="",width=10)
self.p_ang_value2.pack(side=LEFT,anchor=W)
self.p_angle_scale2 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_angle_scale2.pack(side=LEFT,anchor=W)
fm.pack()
##H0 VARIABLE SCALES SET TO ZERO, AS THE DEFAULTS WILL BE RESET WHEN THE
##SIMULATION IS LOADED
fm=Frame(page3, relief=RAISED, bd=1)
mb=Radiobutton(fm,variable=self.choice1,value=2).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,variable=self.choice2,value=2).pack(side=LEFT,anchor=W)
self.p_h_label = Label(fm, text="h Range", width=15).pack(side=LEFT,anchor=W)
self.p_h_value1 = Label(fm,text="",width=10)
self.p_h_value1.pack(side=LEFT,anchor=W)
self.p_h_scale1 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_h_scale1.pack(side=LEFT,anchor=W)
self.p_h_value2 = Label(fm,text="",width=10)
self.p_h_value2.pack(side=LEFT,anchor=W)
self.p_h_scale2 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_h_scale2.pack(side=LEFT,anchor=W)
fm.pack()
##RHO VARIABLE SCALES SET TO ZERO, AS THE DEFAULTS WILL BE RESET WHEN THE
##SIMULATION IS LOADED
fm=Frame(page3, relief=RAISED, bd=1)
mb=Radiobutton(fm,variable=self.choice1,value=3).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,variable=self.choice2,value=3).pack(side=LEFT,anchor=W)
self.p_rho_label = Label(fm, text=u"\u03c1_0 Range", width=15).pack(side=LEFT,anchor=W)
self.p_rho_value1 = Label(fm,text="",width=10)
self.p_rho_value1.pack(side=LEFT,anchor=W)
self.p_rho_scale1 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_rho_scale1.pack(side=LEFT,anchor=W)
self.p_rho_value2 = Label(fm,text="",width=10)
self.p_rho_value2.pack(side=LEFT,anchor=W)
self.p_rho_scale2 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_rho_scale2.pack(side=LEFT,anchor=W)
fm.pack()
##BETA VARIABLE SCALES SET TO ZERO, AS THE DEFAULTS WILL BE RESET WHEN THE
##SIMULATION IS LOADED
fm=Frame(page3, relief=RAISED, bd=1)
mb=Radiobutton(fm,variable=self.choice1,value=4).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,variable=self.choice2,value=4).pack(side=LEFT,anchor=W)
self.p_beta_label = Label(fm, text=u"\u03b2_0 Range", width=15).pack(side=LEFT,anchor=W)
self.p_beta_value1 = Label(fm,text="",width=10)
self.p_beta_value1.pack(side=LEFT,anchor=W)
self.p_beta_scale1 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_beta_scale1.pack(side=LEFT,anchor=W)
self.p_beta_value2 = Label(fm,text="",width=10)
self.p_beta_value2.pack(side=LEFT,anchor=W)
self.p_beta_scale2 = Scale(fm, from_=0, to=0,
orient=HORIZONTAL, command=self.update_figs, length=150)
self.p_beta_scale2.pack(side=LEFT,anchor=W)
fm.pack()
##DEFAULT VALUES FOR THE RADIO BUTTONS
self.choice1.set(1)
self.choice2.set(2)
##----------------------------------------------------------------------
##FOURTH NOTEBOOK PAGE, PROFILE OPTIONS
page4 = notebook.add('Profile Options')
notebook.tab('Profile Options').focus_set()
##TITLE
fm=Frame(page4)
Label(fm, text="Profile Options", width=50,background="honeydew3").pack(side=LEFT,anchor=W)
fm.pack()
##SAVE FUNCTION
fm=Frame(page4)
mb=Button(fm,text='Save Current Profile',command=self.save_radial_prof).pack(side=LEFT,anchor=W)
fm.pack()
##CHOOSE TYPE OF PROFILE
fm=Frame(page4, relief=RAISED, bd=1)
mb = Label(fm, text="Profile Type", width=10).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="Wedge",variable=self.prof,command=self.set_prof_parms,value=1).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="Slice",variable=self.prof,command=self.set_prof_parms,value=2).pack(side=LEFT,anchor=W)
self.profangle_lab=Label(fm, textvariable=self.whichlab, width=15)
self.profangle_lab.pack(side=LEFT,anchor=W)
self.profangle_ent=Entry(fm, textvariable=self.profangle, width=10).pack(side=LEFT,anchor=W)
self.profangle_unit=Label(fm, textvariable=self.profunit, width=10)
self.profangle_unit.pack(side=LEFT,anchor=W)
fm.pack()
##CHOOSE THE AXIS
fm=Frame(page4, relief=RAISED, bd=1)
mb = Label(fm, text="Axis", width=10).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="+X",variable=self.whichax,command=self.set_prof_parms,value=1).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="+Y",variable=self.whichax,command=self.set_prof_parms,value=2).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="-X",variable=self.whichax,command=self.set_prof_parms,value=3).pack(side=LEFT,anchor=W)
mb=Radiobutton(fm,text="-Y",variable=self.whichax,command=self.set_prof_parms,value=4).pack(side=LEFT,anchor=W)
fm.pack()
##LOGARITHMIC OR LINEAR, SSCALING
fm=Frame(page4, relief=RAISED, bd=1)
mb=Checkbutton(fm,text="Logarithmic Plot Scale (X)",variable=self.proflogx, command=self.set_prof_parms).pack(side=LEFT,anchor=W)
mb=Checkbutton(fm,text="Logarithmic Plot Scale (Y)",variable=self.proflogy, command=self.set_prof_parms).pack(side=LEFT,anchor=W)
mb=Label(fm,text='Scale data by',width=15).pack(side=LEFT,anchor=W)
Entry(fm, textvariable=self.datascale, width=10).pack(side=LEFT,anchor=W)
fm.pack()
self.modelplot=StringVar()
self.dataplot=StringVar()
self.modelcol=StringVar()
self.datacol=StringVar()
##PLOTTING OPTIONS
fm=Frame(page4, relief=RAISED, bd=1)
mb = Label(fm, text="Plot Type (Model)", width=15).pack(side=LEFT,anchor=W)
opt=OptionMenu(fm,self.modelplot,'Diamond','Circle','Square','Triangle','Plus','None',command=self.update_plot)
opt.pack(side=LEFT,anchor=W)
mb=Label(fm,text='Plot Color (Model)',width=15).pack(side=LEFT,anchor=W)
Entry(fm, textvariable=self.modelcol, width=10).pack(side=LEFT,anchor=W)
fm.pack()
fm=Frame(page4, relief=RAISED, bd=1)
mb = Label(fm, text="Plot Type (Data)", width=15).pack(side=LEFT,anchor=W)
opt=OptionMenu(fm,self.dataplot,'Diamond','Circle','Square','Triangle','Plus','None',command=self.update_plot)
opt.pack(side=LEFT,anchor=W)
mb=Label(fm,text='Plot Color (Data)',width=15).pack(side=LEFT,anchor=W)
Entry(fm, textvariable=self.datacol, width=10).pack(side=LEFT,anchor=W)
fm.pack()
##SET DEFAULT VALUES FOR PROFILES
self.datascale.set('1')
self.whichlab.set('Angle of Wedge')
self.prof.set(1)
self.whichax.set(1)
self.profangle.set('5')
self.profunit.set('degrees')
self.proflogx.set(1)
self.proflogy.set(0)
self.modelplot.set('None')
self.dataplot.set('Diamond')
self.modelcol.set('black')
self.datacol.set('green')
##NOW PACK THE NOTEBOOK AND SET THE SIZE TO CONTAIN ALL THE CONTENTS
notebook.pack(fill = 'both', expand = 1, padx = 10, pady = 10)
notebook.setnaturalsize()
##------------------------------------------------------------------------
def set_convol_parms(self):
"""
Set the appropriate labels and defults
"""
##SET THE PARAMETERS APPROPRIATELY
convtype=self.whichpsf.get()
if(convtype==1):
self.psflab.set('PSF File=')
self.psfunit.set('')
self.psfinfo.set('psf_refstar_cropped.fits')
if(convtype==2):
self.psflab.set('FWHM=')
self.psfunit.set('pixels')
self.psfinfo.set('8')
##------------------------------------------------------------------------
def show_disk_profile(self):
"""
Displays a disk density profiles.
"""
##DISPLAY A DISK DENSITY PROFILE
#clf()
##SET REASONABLE VALUES FOR MIN AND MAX OF DISPLAY
mmin=self.twod[0,self.twod.shape[1]-1]
mmax=self.twod[0,self.twod.shape[1]/10]
try:
self.cmap=get_cmap(self.cc.cmap)
except:
self.cmap=cm.spectral
self.cmap.set_bad('black',1) ##MISSING OR BAD PIXELS ARE BLACK
##DO THE PLOT
self.plotit=imshow(self.twod,origin='lower',interpolation='nearest',extent=[0,self.maxr,0,self.maxr],vmin=mmin,vmax=mmax,cmap=self.cmap)
plot(self.r_array,self.z_array,'w-' )
if(string.lower(sys.platform) != "darwin"):
show()
##--------------------------------------------------------------------------------------------
def generate_contours(self):
"""
Create custom contour levels and format as a string, based on user input
"""
##ROUTINE TO CREATE CUSTOM CONTOURS
contourstring="" ##STRING CONTAINING THE CONTOUR VALUES, SEPARATED BY COMMAS
##mmin MINIMUM VALUE FOR CONTOURS
##mmax MAXIMUM VALUE FOR CONTOURS
##ncont NUMBER OF CONTOURS
##levels ARRAY OF CONTOUR LEVELS
if self.contour.get() == 1:
##GET MIN/MAX/NUMBER
mmin=self.contour_low.get()
mmax=self.contour_high.get()
ncont=self.contour_num.get()
##CHECK FOR VALID NUMBERS AND RESET IF INPUT IS INVALID
if (mmin == mmax or mmin > mmax or ncont<=0):
tkMessageBox.showwarning("Warning", "Incorrect Contour Parameters. \nValues must be positive, minimum value must be less than maximum")
levels=0
contourstring=""
else:
##LINEAR CONTOURS
if(self.contour_log.get() == 0):
levels=numpy.linspace(mmin,mmax,ncont)
print numpy.linspace(mmin,mmax,ncont)
#print "A",levels
##LOGARITHMIC CONTOURS
else:
if(mmin > 0):
levels=10**numpy.linspace(start=log10(mmin),stop=log10(mmax),num=ncont,endpoint="True")
numpy.linspace(start=log10(mmin),stop=log10(mmax),num=ncont,endpoint="True")
print "B",levels
#GET LOGARITHMIC INTERVALS FOR VALUES < 0
if(mmin <=0):
lrange=abs(mmax-mmin)
mmin1=lrange/20.
mmax1=lrange
levels=10**numpy.linspace(start=log10(mmin1),stop=log10(mmax1),num=ncont,endpoint="True")-mmin1+mmin
print numpy.linspace(start=log10(mmin1),stop=log10(mmax1),num=ncont,endpoint="True")-mmin1+mmin
print "C",levels
print "AAA", self.contour_log.get(),levels
##CREATE THE STRING
for val in levels:
print "VAL",val
contourstring=contourstring+str("%5.3e" % val)+','
##STRIP OF THE FINAL COMMA
contourstring=contourstring[:-1]
print contourstring
##write THE STRING IN THE WINDOW
self.contour_levels.set(contourstring)
##------------------------------------------------------------------------
def make_all_figs(self):
"""
Generates the snapshot mode images.
"""
##h ARRAY OF H VALUES FOR THE PLOT
##rho ARRAY OF RHO VALUES FOR THE PLOT
##beta ARRAY OF BETA VALUES FOR THE PLOT
##angle_ind ARRAY OF ANGLES FOR THE PLOT
##ncols NUMBER OF COLUMNS IN THE PLOT
##xlabel STRING FOR THE X AXIS LABEL
##nrows NUMBER OF ROWS IN THE PLOT
##ylabel STRING FOR THE Y AXIS LABEL
##sgn SET TO -1 OR +1 DEPENDING ON WHETHER THE FIRST INDEX IS >= THAN THE SECOND FOR A VARIABLE
##ii COUNTER FOR THE # OF PLOTS DONE SO FAR
##i,j,k,l LOOP VARIABLES
##THIS ROUTINE GENERATE THE SNAPSHOT MODE IMAGE GRID.
##CLOSE THE WINDOW IF ONE IS ALREADY OPEN
close(4)
##HAS THE DATA BEEN LOADED? IF NOT, EXIT
if self.loaded == 0:
tkMessageBox.showwarning("", "Load Simulation Data")
return
##MAKE SURE THAT THE THERE ARE TWO UNIQUE IMAGES CHOSEN
if(self.choice1.get() == self.choice2.get()):
tkMessageBox.showwarning("Warning", "Choose Two Different Variables")
return
##SET THE VALUE OF EACH VARIABLE TO THE FIRST VALUE FROM THE SLIDER FOR EACH VARIABLE
##THIS WILL BE THE VALUE FOR THE UNSELECTED PARAMETERS
angle_ind=[int(self.p_angle_scale1.get())]
h=[self.h_array[int(self.p_h_scale1.get())]]
rho=[self.rho_array[self.p_rho_scale1.get()]]
beta=[self.beta_array[self.p_beta_scale1.get()]]
##NOW GET THE FIRST AND SECOND CHOICES FOR THE VARIABLES, CALCULATE THE NUMBER OF IMAGES TO PLOT
##AND SET THE AXIS LABELS
##SGN WILL BE POSITIVE IF THE FIRST INDEX IS SMALLER THAN THE LAST AND NEGATIVE OTHERWISE (SETS THE DIRECTION OF THE
##PLOTS CORRECTLY. IF THE FIRST INDEX=SECOND INDEX, DEFAULTS TO 1
##THEN CALCULATE THE ARRAY OF VALUES FOR EACH VARIABLE, AND USE SGN TO GET THE ORDER RIGHT.
##CALCULATE THE NUMBER OF COLUMNS AND THE LABEL FOR THE AXIS
##THIS CODE GETS THE DIRECTION OF THE VARIABLES TO PLOT, AND SETS THE ARRAYS OF VALUES
##IT'S THE SAME BASIC CODE, REPEATED FOR DIFFERENT FIRST VARIABLES AND SECOND VARIABLES.
##FOR THE FIRST VARIABLE
if(self.choice1.get()==1):
try:
sgn=abs(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))/(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))
except:
sgn=1
angle_ind=int(self.p_angle_scale1.get())+sgn*arange(abs(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))+1)
ncols=len(angle_ind)
if(sgn > 0):
xlabel="Angle="+str(self.angles[min(angle_ind)])+" to "+str(self.angles[max(angle_ind)])
if(sgn < 0):
xlabel="Angle="+str(self.angles[max(angle_ind)])+" to "+str(self.angles[min(angle_ind)])
if(self.choice1.get()==2):
try:
sgn=abs(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))/(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))
except:
sgn=1
h=self.h_array[int(self.p_h_scale1.get())+sgn*arange(abs(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))+1)]
ncols=len(h)
if(sgn > 0):
xlabel="h="+str("%5.2f" % min(h))+" to "+str("%5.2f" % max(h))
if(sgn < 0):
xlabel="h="+str("%5.2f" % max(h))+" to "+str("%5.2f" % min(h))
if(self.choice1.get()==3):
try:
sgn=abs(int(self.p_rho_scale2.get())-int(self.p_rho_scale1.get()))/(int(self.p_rho_scale2.get())-int(self.p_rho_scale1.get()))
except:
sgn=1
rho=self.rho_array[int(self.p_rho_scale1.get())+sgn*arange(abs(int(self.p_rho_scale2.get())-int(self.p_rho_scale1.get()))+1)]
ncols=len(rho)
if(sgn > 0):
xlabel=u"\u03c1_0="+str("%5.2e" % min(rho))+" to "+str("%5.2e" % max(rho))
if(sgn < 0):
xlabel=u"\u03c1_0="+str("%5.2e" % max(rho))+" to "+str("%5.2e" % min(rho))
if(self.choice1.get()==4):
try:
sgn=abs(int(self.p_beta_scale2.get())-int(self.p_beta_scale1.get()))/(int(self.p_beta_scale2.get())-int(self.p_beta_scale1.get()))
except:
sgn=1
beta=self.beta_array[int(self.p_beta_scale1.get())+sgn*arange(abs(int(self.p_beta_scale2.get())-int(self.p_beta_scale1.get()))+1)]
ncols=len(beta)
if(sgn > 0):
xlabel=u"\u03b2_0="+str("%5.2f" % min(beta))+" to "+str("%5.2f" % max(beta))
if(sgn < 0):
xlabel=u"\u03b2_0="+str("%5.2f" % max(beta))+" to "+str("%5.2f" % min(beta))
##FOR THE SECOND VARIABLE DO THE SAME THING, BUT FOR NROWS AND YLABEL
if(self.choice2.get()==1):
try:
sgn=abs(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))/(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))
except:
sgn=1
angle_ind=int(self.p_angle_scale1.get())+sgn*arange(abs(int(self.p_angle_scale2.get())-int(self.p_angle_scale1.get()))+1)
angle_ind=angle_ind[::-1]
nrows=len(angle_ind)
if(sgn > 0):
ylabel="Angle="+str(self.angles[min(angle_ind)])+" to "+str(self.angles[max(angle_ind)])
if(sgn < 0):
ylabel="Angle="+str(self.angles[max(angle_ind)])+" to "+str(self.angles[min(angle_ind)])
if(self.choice2.get()==2):
try:
sgn=abs(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))/(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))
except:
sgn=1
h=self.h_array[int(self.p_h_scale1.get())+sgn*arange(abs(int(self.p_h_scale2.get())-int(self.p_h_scale1.get()))+1)]
h=h[::-1]
nrows=len(h)