/usr/lib/python2.7/dist-packages/healpy/visufunc.py is in python-healpy 1.8.1-1.1build1.
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# 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
#
"""
=====================================================
visufunc.py : Healpix visualization functions
=====================================================
This module provides functions to display Healpix map.
Map projections
---------------
- :func:`mollview` displays a map using Mollweide projection (full sky)
- :func:`gnomview` displays a map using Gnomonic projection (local map)
- :func:`cartview` displays a map using Cartesian projection
- :func:`orthview` displays a map using Orthographic projection (full or half sky)
Graticules
----------
- :func:`graticule` adds a graticule to the current map
- :func:`delgraticules` deletes all graticules of a map
Tracing lines or points
-----------------------
- :func:`projplot` plots data points on the current map
- :func:`projscatter` displays scatter points
- :func:`projtext` display a text on the current map
"""
__all__ = ['mollview', 'gnomview', 'cartview', 'orthview',
'graticule', 'delgraticules',
'projplot', 'projscatter', 'projtext']
from . import projaxes as PA
import numpy as np
import matplotlib
from . import pixelfunc
pi = np.pi
dtor = pi/180.
def mollview(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',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Mollweide projection.
Parameters
----------
map : float, array-like or None
An array containing the map, supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. 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'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
gnomview, cartview, orthview
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)/ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=PA.HpxMollweideAxes(f,extent,coord=coord,rot=rot,
format=format2,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)
img = ax.projmap(map,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
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(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def gnomview(map=None,fig=None,rot=None,coord=None,unit='',
xsize=200,ysize=None,reso=1.5,degree=False,
title='Gnomonic view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Gnomonic projection.
Parameters
----------
map : array-like
The map to project, supports masked maps, see the `ma` function.
If None, use a blank map, useful for
overplotting.
fig : None or int, optional
A figure number. Default: None= 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: 200
ysize : None or int, optional
The size of the image. Default: None= xsize
reso : float, optional
Resolution (in arcmin if degree is False). Default: 1.5 arcmin
degree : bool, optional
if True, reso is in degree. Default: False
title : str, optional
The title of the plot. Default: 'Gnomonic view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, scalar, optional
The minimum range value
max : float, scalar, 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'
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
notext: bool, optional
If True: do not add resolution info text. Default=False
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, cartview, orthview
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(5.8,6.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)/ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=PA.HpxGnomonicAxes(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)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
img = ax.projmap(map,nest=nest,coord=coord,vmin=min,vmax=max,
xsize=xsize,ysize=ysize,reso=reso,cmap=cmap,norm=norm)
if cbar:
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(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.02,
"%g '/pix, %dx%d pix"%(ax.proj.arrayinfo['reso'],
ax.proj.arrayinfo['xsize'],
ax.proj.arrayinfo['ysize']),
fontsize=12,verticalalignment='bottom',
transform=ax.transAxes,rotation=90)
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
lon,lat = np.around(ax.proj.get_center(lonlat=True),ax._coordprec)
ax.text(0.5,-0.03,'(%g,%g)'%(lon,lat),
verticalalignment='center', horizontalalignment='center',
transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def cartview(map=None,fig=None,rot=None,zat=None,coord=None,unit='',
xsize=800,ysize=None,lonra=None,latra=None,
title='Cartesian view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,aspect=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Cartesian projection.
Parameters
----------
map : float, array-like or None
An array containing the map,
supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. 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
lonra : sequence, optional
Range in longitude. Default: [-180,180]
latra : sequence, optional
Range in latitude. Default: [-90,90]
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'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}, optional
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a CartesianAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, gnomview, orthview
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)/ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
if zat and rot:
raise ValueError('Only give rot or zat, not both')
if zat:
rot = np.array(zat,dtype=np.float64)
rot.resize(3)
rot[1] -= 90
ax=PA.HpxCartesianAxes(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)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
img = ax.projmap(map,nest=nest,coord=coord,vmin=min,vmax=max,
xsize=xsize,ysize=ysize,lonra=lonra,latra=latra,
cmap=cmap,norm=norm,aspect=aspect)
if cbar:
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(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
if wasinteractive:
pylab.ion()
pylab.draw()
#pylab.show()
if return_projected_map:
return img
def orthview(map=None,fig=None,rot=None,coord=None,unit='',
xsize=800,half_sky=False,
title='Orthographic view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Orthographic projection.
Parameters
----------
map : float, array-like or None
An array containing the map.
If None, will display a blank map, useful for overplotting.
fig : int or None, optional
The figure number to use. 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.
half_sky : bool, optional
Plot only one side of the sphere. Default: False
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: 'Orthographic 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'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by an OrthographicAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollview, gnomview, cartview
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)/ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
ax=PA.HpxOrthographicAxes(f,extent,coord=coord,rot=rot,
format=format2,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)
img = ax.projmap(map,nest=nest,xsize=xsize,half_sky=half_sky,
coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
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(im,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(im,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def graticule(dpar=None,dmer=None,coord=None,local=None,**kwds):
"""Draw a graticule on the current Axes.
Parameters
----------
dpar, dmer : float, scalars
Interval in degrees between meridians and between parallels
coord : {'E', 'G', 'C'}
The coordinate system of the graticule (make rotation if needed,
using coordinate system of the map if it is defined).
local : bool
If True, draw a local graticule (no rotation is performed, useful for
a gnomonic view, for example)
Notes
-----
Other keyword parameters will be transmitted to the projplot function.
See Also
--------
delgraticules
"""
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if len(f.get_axes()) == 0:
ax=PA.HpxMollweideAxes(f,(0.02,0.05,0.96,0.9),coord=coord)
f.add_axes(ax)
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ax.graticule(dpar=dpar,dmer=dmer,coord=coord,
local=local,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
def delgraticules():
"""Delete all graticules previously created on the Axes.
See Also
--------
graticule
"""
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ax.delgraticules()
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
def projplot(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret = None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projplot(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projplot.__doc__ = PA.SphericalProjAxes.projplot.__doc__
def projscatter(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret=None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projscatter(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projscatter.__doc__ = PA.SphericalProjAxes.projscatter.__doc__
def projtext(*args,**kwds):
import pylab
f = pylab.gcf()
wasinteractive = pylab.isinteractive()
pylab.ioff()
ret = None
try:
for ax in f.get_axes():
if isinstance(ax,PA.SphericalProjAxes):
ret = ax.projtext(*args,**kwds)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
return ret
projtext.__doc__ = PA.SphericalProjAxes.projtext.__doc__
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