def curvelinear_test2(fig, rect=111):
"""
Polar projection, but in a rectangular box.
"""
# see demo_curvelinear_grid.py for details
tr = Affine2D().translate(0, 90) + Affine2D().scale(np.pi / 180., 1.) + \
PolarAxes.PolarTransform()
extreme_finder = angle_helper.ExtremeFinderCycle(
10,
60,
lon_cycle=360,
lat_cycle=None,
lon_minmax=None,
lat_minmax=(-90, np.inf),
)
# Changes theta gridline count
grid_locator1 = angle_helper.LocatorHMS(12)
grid_locator2 = angle_helper.LocatorDMS(6)
tick_formatter1 = angle_helper.FormatterHMS()
tick_formatter2 = angle_helper.FormatterDMS()
grid_helper = GridHelperCurveLinear(tr,
extreme_finder=extreme_finder,
grid_locator1=grid_locator1,
grid_locator2=grid_locator2,
tick_formatter1=tick_formatter1,
tick_formatter2=tick_formatter2)
ax1 = SubplotHost(fig, rect, grid_helper=grid_helper)
# make ticklabels of right and top axis visible.
ax1.axis["right"].major_ticklabels.set_visible(True)
ax1.axis["top"].major_ticklabels.set_visible(True)
ax1.axis["bottom"].major_ticklabels.set_visible(True)
# let right and bottom axis show ticklabels for 1st coordinate (angle)
ax1.axis["right"].get_helper().nth_coord_ticks = 0
ax1.axis["bottom"].get_helper().nth_coord_ticks = 0
#
fig.add_subplot(ax1)
grid_helper = ax1.get_grid_helper()
# You may or may not need these - they set the view window explicitly
# rather than using the default as determined by matplotlib with extreme
# finder.
ax1.set_aspect(1.)
ax1.set_xlim(-4, 25) # moves the origin left-right in ax1
ax1.set_ylim(-2.5, 30) # moves the origin up-down
ax1.set_ylabel('$DEC\,(^{\circ})$')
ax1.set_xlabel('$RA\,(h)$')
ax1.grid(True)
# ax1.grid(linestyle='--', which='x') # either keyword applies to both
# ax1.grid(linestyle=':', which='y') # sets of gridlines
return ax1, tr
def curvelinear_test2(fig, gs=None, xcenter=0.0, ycenter=17.3, xwidth=1.5, ywidth=1.5,
rot_angle=0.0, xlabel=xlabel, ylabel=ylabel, xgrid_density=8, ygrid_density=5):
"""
polar projection, but in a rectangular box.
"""
tr = Affine2D().translate(0,90)
tr += Affine2D().scale(np.pi/180., 1.)
tr += PolarAxes.PolarTransform()
tr += Affine2D().rotate(rot_angle) # This rotates the grid
extreme_finder = angle_helper.ExtremeFinderCycle(10, 60,
lon_cycle = 360,
lat_cycle = None,
lon_minmax = None,
lat_minmax = (-90, np.inf),
)
grid_locator1 = angle_helper.LocatorHMS(xgrid_density) #changes theta gridline count
tick_formatter1 = angle_helper.FormatterHMS()
grid_locator2 = angle_helper.LocatorDMS(ygrid_density) #changes theta gridline count
tick_formatter2 = angle_helper.FormatterDMS()
grid_helper = GridHelperCurveLinear(tr,
extreme_finder=extreme_finder,
grid_locator1=grid_locator1,
grid_locator2=grid_locator2,
tick_formatter1=tick_formatter1,
tick_formatter2=tick_formatter2
)
# ax1 = SubplotHost(fig, rect, grid_helper=grid_helper)
if gs is None:
ax1 = SubplotHost(fig, 111, grid_helper=grid_helper)
else:
ax1 = SubplotHost(fig, gs, grid_helper=grid_helper)
# make ticklabels of right and top axis visible.
ax1.axis["right"].major_ticklabels.set_visible(False)
ax1.axis["top"].major_ticklabels.set_visible(False)
ax1.axis["bottom"].major_ticklabels.set_visible(True) #Turn off?
# let right and bottom axis show ticklabels for 1st coordinate (angle)
ax1.axis["right"].get_helper().nth_coord_ticks=0
ax1.axis["bottom"].get_helper().nth_coord_ticks=0
fig.add_subplot(ax1)
grid_helper = ax1.get_grid_helper()
# These move the grid
ax1.set_xlim(xcenter-xwidth, xcenter+xwidth) # moves the origin left-right in ax1
ax1.set_ylim(ycenter-ywidth, ycenter+ywidth) # moves the origin up-down
if xlabel is not None: ax1.set_xlabel(xlabel)
if ylabel is not None: ax1.set_ylabel(ylabel)
ax1.grid(True, linestyle='-')
return ax1,tr
def make_mw_plot(fig=None, mw_img_name = "Milky_Way_2005.jpg",
solar_rad=8.5, fignum=5):
"""
Generate a "Milky Way" plot with Robert Hurt's Milky Way illustration as
the background.
.. TODO:
Figure out how to fix the axis labels. They don't work now!
Parameters
----------
fig : matplotlib.figure instance
If you want to start with a figure instance, can specify it
mw_img_name: str
The name of the image on disk
solar_rad : float
The assumed Galactocentric orbital radius of the sun
fignum : int
If Figure not specified, use this figure number
"""
# load image
mw = np.array(PIL.Image.open(mw_img_name))[:,::-1]
# set some constants
npix = mw.shape[0] # must be symmetric
# Galactic Center in middle of image
gc_loc = [x/2 for x in mw.shape]
# Sun is at 0.691 (maybe really 0.7?) length of image
sun_loc = mw.shape[0]/2,int(mw.shape[1]*0.691)
# determine scaling
kpc_per_pix = solar_rad / (sun_loc[1]-gc_loc[1])
boxsize = npix*kpc_per_pix
# most of the code below is taken from:
# http://matplotlib.sourceforge.net/examples/axes_grid/demo_curvelinear_grid.html
# and http://matplotlib.sourceforge.net/examples/axes_grid/demo_floating_axis.html
if fig is None:
fig = plt.figure(fignum)
plt.clf()
# PolarAxes.PolarTransform takes radian. However, we want our coordinate
# system in degree
# this defines the polar coordinate system @ Galactic center
tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()
# polar projection, which involves cycle, and also has limits in
# its coordinates, needs a special method to find the extremes
# (min, max of the coordinate within the view).
# grid helper stuff, I think (grid is off by default)
# This may not apply to the image *at all*, but would if you
# used the grid
# 40, 40 : number of sampling points along x, y direction
extreme_finder = angle_helper.ExtremeFinderCycle(40, 40,
lon_cycle = 360,
lat_cycle = None,
lon_minmax = None,
lat_minmax = (0, np.inf),
)
grid_locator1 = angle_helper.LocatorDMS(12)
# Find a grid values appropriate for the coordinate (degree,
# minute, second).
tick_formatter1 = angle_helper.FormatterDMS()
# And also uses an appropriate formatter. Note that,the
# acceptable Locator and Formatter class is a bit different than
# that of mpl's, and you cannot directly use mpl's Locator and
# Formatter here (but may be possible in the future).
grid_helper = GridHelperCurveLinear(tr,
extreme_finder=extreme_finder,
grid_locator1=grid_locator1,
tick_formatter1=tick_formatter1,
#tick_formatter2=matplotlib.ticker.FuncFormatter(lambda x: x * kpc_per_pix)
)
ax = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper, axisbg='#333333')
fig.add_subplot(ax)
# ax.transData is still a (rectlinear) pixel coordinate. Only the
# grids are done in galactocentric coordinate.
# show the image
ax.imshow(mw,extent=[-boxsize/2,boxsize/2,-boxsize/2,boxsize/2])
ax_pixgrid = ax.twin() # simple twin will give you a twin axes,
# but with normal grids.
# to draw heliocentric grids, it is best to update the grid_helper
# with new transform.
# need to rotate by -90 deg to get into the standard convention
tr_helio = Affine2D().scale(np.pi/180., 1.).translate(-np.pi/2.,0) + \
PolarAxes.PolarTransform() + \
Affine2D().translate(0,solar_rad)
# Note that the transform is from the heliocentric coordinate to
# the pixel coordinate of ax (i.e., ax.transData).
ax.get_grid_helper().update_grid_finder(aux_trans=tr_helio)
# Now we defina parasite axes with galactocentric & heliocentric
# coordinates.
# A parasite axes with given transform
gc_polar = ParasiteAxesAuxTrans(ax, tr, "equal")
ax.parasites.append(gc_polar)
# note that ax2.transData == tr + galactocentric_axis.transData
# Anthing you draw in ax2 will match the ticks and grids of galactocentric_axis.
hc_polar = ParasiteAxesAuxTrans(ax, tr_helio, "equal")
ax.parasites.append(hc_polar)
return ax, ax_pixgrid, gc_polar, hc_polar
def curvelinear_test2(fig, gs=None, xcenter=0.0, ycenter=17.3, xwidth=1.5, ywidth=1.5,
xlabel=xlabel, ylabel=ylabel, xgrid_density=8, ygrid_density=5):
"""
polar projection, but in a rectangular box.
"""
tr = Affine2D().translate(0,90)
tr += Affine2D().scale(np.pi/180., 1.)
tr += PolarAxes.PolarTransform()
tr += Affine2D().rotate(1.34) # This rotates the grid
extreme_finder = angle_helper.ExtremeFinderCycle(10, 60,
lon_cycle = 360,
lat_cycle = None,
lon_minmax = None,
lat_minmax = (-90, np.inf),
)
grid_locator1 = angle_helper.LocatorHMS(xgrid_density) #changes theta gridline count
tick_formatter1 = angle_helper.FormatterHMS()
grid_locator2 = angle_helper.LocatorDMS(ygrid_density) #changes theta gridline count
tick_formatter2 = angle_helper.FormatterDMS()
grid_helper = GridHelperCurveLinear(tr,
extreme_finder=extreme_finder,
grid_locator1=grid_locator1,
grid_locator2=grid_locator2,
tick_formatter1=tick_formatter1,
tick_formatter2=tick_formatter2
)
# ax1 = SubplotHost(fig, rect, grid_helper=grid_helper)
if gs is None:
ax1 = SubplotHost(fig, 111, grid_helper=grid_helper)
else:
ax1 = SubplotHost(fig, gs, grid_helper=grid_helper)
# make ticklabels of right and top axis visible.
ax1.axis["right"].major_ticklabels.set_visible(False)
ax1.axis["top"].major_ticklabels.set_visible(False)
ax1.axis["bottom"].major_ticklabels.set_visible(True) #Turn off?
# let right and bottom axis show ticklabels for 1st coordinate (angle)
ax1.axis["right"].get_helper().nth_coord_ticks=0
ax1.axis["bottom"].get_helper().nth_coord_ticks=0
fig.add_subplot(ax1)
grid_helper = ax1.get_grid_helper()
# These move the grid
ax1.set_xlim(xcenter-xwidth, xcenter+xwidth) # moves the origin left-right in ax1
ax1.set_ylim(ycenter-ywidth, ycenter+ywidth) # moves the origin up-down
# ax1.set_xlim(-1.5, 1.4)
# ax1.set_ylim(15.8, 18.8)
if xlabel is not None:
ax1.set_xlabel(xlabel)
if ylabel is not None:
ax1.set_ylabel(ylabel)
# ax1.set_ylabel('Declination')
# ax1.set_xlabel('Right Ascension')
ax1.grid(True, linestyle='-')
#ax1.grid(linestyle='--', which='x') # either keyword applies to both
#ax1.grid(linestyle=':', which='y') # sets of gridlines
return ax1,tr
