python-healpy 1.10.3-2 / usr / lib / python2.7 / dist-packages / healpy / zoomtool.py

# 
#  This file is part of Healpy.
# 
#  Healpy 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 2 of the License, or
#  (at your option) any later version.
# 
#  Healpy 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 Healpy; if not, write to the Free Software
#  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
# 
#  For more information about Healpy, see http://code.google.com/p/healpy
# 

from . import projaxes as PA
from . import rotator as R
import numpy as np
import matplotlib
from ._healpy_pixel_lib import UNSEEN
from . import pixelfunc

pi = np.pi
dtor = pi/180.

def mollzoom(map=None,fig=None,rot=None,coord=None,unit='',
             xsize=800,title='Mollweide view',nest=False,
             min=None,max=None,flip='astro',
             remove_dip=False,remove_mono=False,
             gal_cut=0,
             format='%g',cmap=None,
             norm=None,hold=False,margins=None,sub=None):
    """Interactive mollweide plot with zoomed gnomview.
    
    Parameters:
    -----------
    map : float, array-like shape (Npix,)
      An array containing the map, 
      supports masked maps, see the `ma` function.
      if None, use map with inf value (white map), useful for
      overplotting
    fig : a figure number. 
      Default: create a new figure
    rot : scalar or sequence, optional
      Describe the rotation to apply.
      In the form (lon, lat, psi) (unit: degrees) : the point at
      longitude *lon* and latitude *lat* will be at the center. An additional rotation
      of angle *psi* around this direction is applied.
    coord : sequence of character, optional
      Either one of 'G', 'E' or 'C' to describe the coordinate
      system of the map, or a sequence of 2 of these to rotate
      the map from the first to the second coordinate system.
    unit : str, optional
      A text describing the unit of the data. Default: ''
    xsize : int, optional
      The size of the image. Default: 800
    title : str, optional
      The title of the plot. Default: 'Mollweide view'
    nest : bool, optional
      If True, ordering scheme is NESTED. Default: False (RING)
    min : float, optional
      The minimum range value
    max : float, optional
      The maximum range value
    flip : {'astro', 'geo'}, optional
      Defines the convention of projection : 'astro' (default, east towards left, west towards right)
      or 'geo' (east towards roght, west towards left)
    remove_dip : bool, optional
      If :const:`True`, remove the dipole+monopole
    remove_mono : bool, optional
      If :const:`True`, remove the monopole
    gal_cut : float, scalar, optional
      Symmetric galactic cut for the dipole/monopole fit.
      Removes points in latitude range [-gal_cut, +gal_cut]
    format : str, optional
      The format of the scale label. Default: '%g'
    """
    import pylab
    # create the figure (if interactive, it will open the window now)
    f=pylab.figure(fig,figsize=(10.5,5.4))
    extent = (0.02,0.25,0.56,0.72)
    # Starting to draw : turn interactive off
    wasinteractive = pylab.isinteractive()
    pylab.ioff()
    try:
        if map is None:
            map = np.zeros(12)+np.inf
        map = pixelfunc.ma_to_array(map)
        ax=PA.HpxMollweideAxes(f,extent,coord=coord,rot=rot,
                               format=format,flipconv=flip)
        f.add_axes(ax)
        if remove_dip:
            map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
                                        nest=nest,copy=True,
                                        verbose=True)
        elif remove_mono:
            map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
                                          copy=True,verbose=True)
        ax.projmap(map,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
                   cmap=cmap,norm=norm)
        im = ax.get_images()[0]
        b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
        v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
        if matplotlib.__version__ >= '0.91.0':
            cb=f.colorbar(ax.get_images()[0],ax=ax,
                          orientation='horizontal',
                          shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
                          pad=0.05,fraction=0.1,boundaries=b,values=v)
        else:
            # for older matplotlib versions, no ax kwarg
            cb=f.colorbar(ax.get_images()[0],orientation='horizontal',
                          shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
                          pad=0.05,fraction=0.1,boundaries=b,values=v)
        ax.set_title(title)
        ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
                fontweight='bold',transform=ax.transAxes)
        cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
                   transform=cb.ax.transAxes,ha='left',va='center')
        f.sca(ax)

        ## Gnomonic axes
        #extent = (0.02,0.25,0.56,0.72)
        g_xsize=600
        g_reso = 1.
        extent = (0.60,0.04,0.38,0.94)
        g_ax=PA.HpxGnomonicAxes(f,extent,coord=coord,rot=rot,
                                format=format,flipconv=flip)
        f.add_axes(g_ax)
        if remove_dip:
            map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,nest=nest,copy=True)
        elif remove_mono:
            map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
        g_ax.projmap(map,nest=nest,coord=coord,vmin=min,vmax=max,
                   xsize=g_xsize,ysize=g_xsize,reso=g_reso,cmap=cmap,norm=norm)
        im = g_ax.get_images()[0]
        b = im.norm.inverse(np.linspace(0,1,im.cmap.N+1))
        v = np.linspace(im.norm.vmin,im.norm.vmax,im.cmap.N)
        if matplotlib.__version__ >= '0.91.0':
            cb=f.colorbar(g_ax.get_images()[0],ax=g_ax,
                          orientation='horizontal',
                          shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
                          pad=0.08,fraction=0.1,boundaries=b,values=v)
        else:
            cb=f.colorbar(g_ax.get_images()[0],orientation='horizontal',
                          shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
                          pad=0.08,fraction=0.1,boundaries=b,values=v)
        g_ax.set_title(title)
        g_ax.text(-0.07,0.02,
                   "%g '/pix,   %dx%d pix"%(g_ax.proj.arrayinfo['reso'],
                                            g_ax.proj.arrayinfo['xsize'],
                                            g_ax.proj.arrayinfo['ysize']),
                   fontsize=12,verticalalignment='bottom',
                   transform=g_ax.transAxes,rotation=90)
        g_ax.text(-0.07,0.8,g_ax.proj.coordsysstr,fontsize=14,
                   fontweight='bold',rotation=90,transform=g_ax.transAxes)
        lon,lat = np.around(g_ax.proj.get_center(lonlat=True),g_ax._coordprec)
        g_ax.text(0.5,-0.03,'on (%g,%g)'%(lon,lat),
                  verticalalignment='center', horizontalalignment='center',
                  transform=g_ax.transAxes)
        cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
                   transform=cb.ax.transAxes,ha='left',va='center')
        # Add graticule info axes
        grat_ax = pylab.axes([0.25, 0.02, 0.22,0.25])
        grat_ax.axis('off')
        # Add help text
        help_ax = pylab.axes([0.02,0.02,0.22,0.25])
        help_ax.axis('off')
        t = help_ax.transAxes
        help_ax.text(0.1, 0.8, 'r/t .... zoom out/in',transform=t,va='baseline')
        help_ax.text(0.1, 0.65,'p/v .... print coord/val',transform=t,va='baseline')
        help_ax.text(0.1, 0.5, 'c ...... go to center',transform=t,va='baseline')
        help_ax.text(0.1, 0.35,'f ...... next color scale',transform=t,va='baseline')
        help_ax.text(0.1, 0.2, 'k ...... save current scale',transform=t,
                     va='baseline')
        help_ax.text(0.1, 0.05,'g ...... toggle graticule',transform=t,va='baseline')
        f.sca(g_ax)
        # Set up the zoom capability
        zt=ZoomTool(map,fig=f.number,nest=nest,cmap=cmap,norm=norm,coord=coord)
    finally:
        pylab.draw()
        if wasinteractive:
            pylab.ion()

def set_g_clim(vmin,vmax):
    """Set min/max value of the gnomview part of a mollzoom.
    """
    import pylab
    f=pylab.gcf()
    if not hasattr(f,'zoomtool'):
        raise TypeError('The current figure has no zoomtool')
    f.zoomtool.save_min = vmin
    f.zoomtool.save_max = vmax
    f.zoomtool._range_status = 2
    f.zoomtool.draw_gnom()

class ZoomTool(object):
    """A class providing zoom capability to a figure containing a Mollweide
    and a Gnomonic axis.
    """
    def __init__(self,m,fig=None,nest=False,cmap=None,norm=None,
                 coord=None):
        """m: the map to be zoomed (already plotted in Mollweide view)
        fig: the figure to instrument (None->gcf())
        """
        import pylab
        self.reso_list = [0.05,0.1,0.2,0.3,0.5,0.75,1.,1.5,3.,5.,10.,15.,
                          30.,45.,60.]
        self._map = m
        self._nest = nest
        self._cmap = cmap
        self._norm = norm
        self._coord = coord
        self._range_status = 0 #0:normal, 1:global map min,max, 2: saved
        self.save_min = self.save_max = None
        self._graton = False
        # find min, max of map
        if isinstance(m, dict):
            if len(m) == 0:
                self._mapmin, self._mapmax = -1., 1.
            else:
                self._mapmin,self._mapmax = min(m.values()), max(m.values())
        else:
            mgood = m[m!=UNSEEN]
            if mgood.size == 0:
                self._mapmin, self._mapmax = -1., 1.
            else:
                self._mapmin,self._mapmax = mgood.min(),mgood.max()
            del mgood
        if fig is None: f=pylab.gcf()
        else: f=pylab.figure(fig)
        self.f = f
        f.zoomtool = self
        (self._moll_ax, self._moll_cb_ax,
         self._gnom_ax, self._gnom_cb_ax) = f.get_axes()[:4]
        self._grat_ax = f.get_axes()[4]
        self._text_reso, self._text_coord, self._text_loc = self._gnom_ax.texts
        self._xsize = self._gnom_ax.proj.arrayinfo['xsize']
        self._ysize = self._gnom_ax.proj.arrayinfo['ysize']
        try:
            self._reso_idx = self.reso_list.index(self._gnom_ax.proj._arrayinfo['reso'])
        except ValueError as e:
            raise ValueError('Resolution not in %s'%self.reso_list)
        self.zoomcenter, = self._moll_ax.plot([0],[0],'ok',
                                              mew=1,ms=15,alpha=0.1)
        self.zoomcenter2, = self._moll_ax.plot([0], [0], 'xr',
                                               ms=15, alpha=0.5, mew=3)
        self._text_range = self._gnom_ax.text(-0.4, -0.2, 'scale mode: loc',
                                               transform=
                                               self._gnom_ax.transAxes,
                                               va='baseline',
                                               ha='left')
        self.draw_gnom(0,0)
        self._connected = False
        self.connect_callbacks()
        
    def _zoom_on_click(self, ev):
        import pylab
        try:
            ax = ev.inaxes
            lon,lat = ax.get_lonlat(ev.xdata,ev.ydata)
            if np.isnan(lon) or np.isnan(lat):
                raise ValueError('invalid position')
            val = ax.get_value(ev.xdata,ev.ydata)
            self.lastval = val
            self._move_zoom_center(lon,lat)
            self.draw_gnom(lon,lat)            
        except Exception as s:
            self._move_zoom_center(0,0,False)
            pylab.draw_if_interactive()
            #print s
        return

    def _reso_on_key(self, ev):
        if ev.key == 'r':
            self._decrease_reso()
        elif ev.key == 't':
            self._increase_reso()
        elif ev.key == 'p':
            print('lon,lat = %.17g,%.17g'%(self.lon,self.lat))
        elif ev.key == 'c':
            self._move_zoom_center(0,0)
            self.draw_gnom(0,0)
        elif ev.key == 'v':
            print('val = %.17g'%(self.lastval))
        elif ev.key == 'f':
            self._range_status += 1
            self._range_status %= 3
            self.draw_gnom()
        elif ev.key == 'k':
            self.save_min = self._gnom_ax.images[0].norm.vmin
            self.save_max = self._gnom_ax.images[0].norm.vmax
        elif ev.key == 'g':
            if hasattr(self,'_graton') and self._graton == True:
                self._gnom_ax.delgraticules()
                self._moll_ax.delgraticules()
                self._graton = False
            else:
                (self._g_dpar, 
                 self._g_dmer) = self._gnom_ax.graticule(local=False,
                                                         verbose=False)
                (self._m_dpar, 
                 self._m_dmer) = self._moll_ax.graticule(verbose=False)
                self._graton = True
            self.draw_gnom()

    def _update_grat_info(self):
        self._grat_ax.cla()
        self._grat_ax.axis('off')
        if self._graton:
            a = self._grat_ax
            t = a.transAxes
            a.text(0.1, 0.8,  'moll. grat.:',transform=t,weight='bold')
            vdeg = np.floor(np.around(self._m_dpar/dtor,10))
            varcmin = (self._m_dpar/dtor-vdeg)*60.
            a.text(0.1, 0.65, "   -par: %d d %.2f '"%(vdeg,varcmin),
                   transform=t)
            vdeg = np.floor(np.around(self._m_dmer/dtor,10))
            varcmin = (self._m_dmer/dtor-vdeg)*60.
            a.text(0.1, 0.5,  "   -mer: %d d %.2f '"%(vdeg,varcmin),
                   transform=t)
            a.text(0.1, 0.35,  'gnom. grat.:',transform=t,weight='bold')
            vdeg = np.floor(np.around(self._g_dpar/dtor,10))
            varcmin = (self._g_dpar/dtor-vdeg)*60.
            a.text(0.1, 0.2,  "   -par: %d d %.2f '"%(vdeg,varcmin),
                   transform=t)
            vdeg = np.floor(np.around(self._g_dmer/dtor,10))
            varcmin = (self._g_dmer/dtor-vdeg)*60.
            a.text(0.1, 0.05, "   -mer: %d d %.2f '"%(vdeg,varcmin),
                   transform=t)
        
        
    def _increase_reso(self):
        if self._reso_idx > 0:
            self._reso_idx -= 1
            self.draw_gnom(self.lon,self.lat)

    def _decrease_reso(self):
        if self._reso_idx < len(self.reso_list)-1:
            self._reso_idx += 1
            self.draw_gnom(self.lon,self.lat)

    def get_reso(self):
        return self.reso_list[self._reso_idx]

    def connect_callbacks(self):
        if not self._connected:
            self._callbacks_id = []
            cid = self.f.canvas.mpl_connect('button_press_event',
                                            self._zoom_on_click)
            self._callbacks_id.append(cid)
            cid = self.f.canvas.mpl_connect('key_press_event',
                                            self._reso_on_key)
            self._callbacks_id.append(cid)
            self._connected = True

    def disconnect_callbacks(self):
        if self._connected:
            for cid in self._callbacks_id:
                self.figure.canvas.mpl_disconnect(cid)
        
    def _move_zoom_center(self, lon, lat, visible=True):
        # Move the zoom center marker.
        if self.zoomcenter:
            x,y = self._moll_ax.proj.ang2xy(lon,lat,lonlat=True)
            self.zoomcenter.set_xdata([x])
            self.zoomcenter.set_ydata([y])
            self.zoomcenter.set_visible(visible)
        if self.zoomcenter2:
            x,y = self._moll_ax.proj.ang2xy(lon,lat,lonlat=True)
            self.zoomcenter2.set_xdata([x])
            self.zoomcenter2.set_ydata([y])
            self.zoomcenter2.set_visible(visible)

    def draw_gnom(self,lon=None,lat=None):
        import pylab
        wasinteractive = pylab.isinteractive()
        pylab.ioff()
        try:
            # modify rot of the gnom_ax
            if lon is None:
                lon = self._lon
            else:
                self._lon = lon
            if lat is None:
                lat = self._lat
            else:
                self._lat = lat
            self._gnom_ax.proj.rotator._rots.pop()
            self._gnom_ax.proj.rotator._rots.append(R.normalise_rot((lon,lat),deg=True))
            self._gnom_ax.proj.rotator._update_matrix()
            if   self._range_status == 0:
                vmin=vmax = None
            elif self._range_status == 1:
                vmin,vmax = self._mapmin,self._mapmax
            elif self._range_status == 2:
                vmin,vmax = self.save_min, self.save_max
            self._gnom_ax.images.pop()
            self._gnom_ax.projmap(self._map,nest=self._nest,coord=self._coord,
                                  vmin=vmin,vmax=vmax,
                                  xsize=self._xsize,ysize=self._ysize,
                                  reso=self.get_reso(),
                                  cmap=self._cmap,
                                  norm=self._norm)
            if hasattr(self._gnom_ax, '_scatter_data'):
                l = [x for x in self._gnom_ax._scatter_data]
                #print l
                for sd in l:
                    s, input_data = sd
                    #print input_data
                    self._gnom_ax.collections.remove(s)
                    self._gnom_ax._scatter_data.remove(sd)
                    theta, phi, args, kwds = input_data
                    self._gnom_ax.projscatter(theta, phi = phi, *args, **kwds)
                del l
            if self._graton:
                self._gnom_ax.delgraticules()
                (self._g_dpar, 
                 self._g_dmer) = self._gnom_ax.graticule(local=False,
                                                         verbose=False)
            self._gnom_cb_ax.cla()
            im = self._gnom_ax.images[0]
            if matplotlib.__version__ >= '0.91.0':
                cb=self.f.colorbar(im,ax=self._gnom_ax,
                                   cax=self._gnom_cb_ax,orientation='horizontal',
                                   ticks=PA.BoundaryLocator())
            else:
                cb=self.f.colorbar(im,cax=self._gnom_cb_ax,
                                   orientation='horizontal',ticks=PA.BoundaryLocator())
            lon,lat = np.around(self._gnom_ax.proj.get_center(lonlat=True),
                                 self._gnom_ax._coordprec)
            self._text_loc.set_text('on (%g,%g)'%(lon,lat))
            reso = self._gnom_ax.proj.arrayinfo['reso']
            xsize = self._gnom_ax.proj.arrayinfo['xsize']
            ysize  = self._gnom_ax.proj.arrayinfo['ysize']
            self._text_reso.set_text("%g '/pix,   %dx%d pix"%
                                     (reso, xsize, ysize))
            mode = ['loc','map','sav'][self._range_status]
            self._text_range.set_text('scale mode: %s'%mode)
            self.lon,self.lat = lon,lat
            self._update_grat_info()
        except Exception as e:
            pass #print e
        finally:
            if wasinteractive:
                pylab.ion()
                pylab.draw()
                pylab.show()