def checkInside(polygonOne, polygonTwo):
polygon = np.array(polygonOne) # All points of polygon (but in different form)
path = mplPath.Path(polygon) # Makes polygon
checkPoints = polygonTwo # The inside polygon (points, not lines)
edgeInside = [path.contains_point(point, radius = 0.001) or path.contains_point(point, radius = -0.001) for point in checkPoints]
edgeOutside = [(path.contains_point(point, radius = 0) or path.contains_point(point, radius = 0)) and point not in polygonOne for point in checkPoints]
return edgeInside, edgeOutside
def get_area_name(self,point):
area_found_result = False
area_name = ""
for i in areas_dict:
path = Path(areas_dict[i])
if path.contains_point(point) == 1:
area_name = i
area_found_result = True
break
if area_found_result == False:
area_name = self.default_no_suburb
return area_name
def get_area_name(self,point):
# the parameter must be like point = (latitude, longitude)
area_found_result = False
area_name = ""
for i in areas_dict:
path = Path(areas_dict[i])
if path.contains_point(point) == 1:
area_name = i
area_found_result = True
break
if area_found_result == False:
area_name = self.default_no_suburb
return area_name
def remove_selection(self):
if len(self.selected_path_verts) == 0:
print "Nothing selected!"
return
path = self.points_to_path(close=True)
nodes = [n for n in self.graph.nodes_iter() if
path.contains_point((self.graph.node[n]['x'],
self.graph.node[n]['y']))]
print nodes
self.graph.remove_nodes_from(nodes)
plt.clf()
plot.draw_leaf(self.graph)
self.selected_path_verts = []
self.path_patch = None
plt.show()
def experiment(self, feature_geom, point_geom):
"""
feature and point are geometrys
Is a QgsPoint within an arbitrary QgsPolygon?
"""
polygon = feature_geom.asPolygon()
point = point_geom.asPoint()
codes = []
codes.append(Path.MOVETO)
for i in range(0, len(polygon[0]) - 2):
codes.append(Path.LINETO)
codes.append(Path.CLOSEPOLY)
path = Path(polygon[0], codes)
if path.contains_point(point):
return True
else:
return False
def experiment(self, feature_geom, point_geom):
"""
feature and point are geometrys
Is a QgsPoint within an arbitrary QgsPolygon?
"""
polygon = feature_geom.asPolygon()
point = point_geom.asPoint()
codes = []
codes.append(Path.MOVETO)
for i in range(0, len(polygon[0]) - 2):
codes.append(Path.LINETO)
codes.append(Path.CLOSEPOLY)
path = Path(polygon[0], codes)
if path.contains_point(point):
return True
else:
return False
def var_to_polygon(mx,vertices,lx,ly):
minx=min(np.asarray(lx))
miny=min(np.asarray(ly))
maxx=max(np.asarray(lx))
maxy=max(np.asarray(ly))
mask_polygon = np.zeros(( maxy-miny+1, maxx-minx+1 ))
poly_vert=[]
for i in vertices:
poly_vert.append((i[1]-miny,i[0]-minx))
path = Path(poly_vert)
print minx,maxx, miny,maxy
mx_slice = mx[(miny):(maxy+1), (minx):(maxx+1)]
for index, val in np.ndenumerate(mx_slice):
if path.contains_point(index)==1:
mask_polygon[index]=1
else:
pass
mx_slice_masked = ma.masked_where(mask_polygon==0,mx_slice)
mx_slice_out = ma.masked_where(mask_polygon==1,mx_slice)
return mx_slice_masked, mx_slice_out
def export_selection(self):
if len(self.selected_path_verts) == 0:
print "Nothing selected!"
return
path = self.points_to_path(close=True)
nodes = [n for n in self.graph.nodes_iter() if
path.contains_point((self.graph.node[n]['x'],
self.graph.node[n]['y']))]
subgraph = nx.Graph(self.graph.subgraph(nodes))
suggested_name = self.suggested_name(self.fname,
extension="_selection_")
savname = raw_input("Save to [{}]: ".format(suggested_name))
if savname == '':
savname = suggested_name
nx.write_gpickle(subgraph, savname)
print "Done."
def __call__(self, event):
print 'click', event
if event.inaxes!=self.line.axes: return
if event.button == 1:
self.xs.append(event.xdata)
self.ys.append(event.ydata)
self.line.set_data(self.xs, self.ys)
self.line.figure.canvas.draw()
if event.button == 3:
vertices=zip(self.xs,self.ys)
if len(self.xs) > 1:
cycle=vertices
cycle.append((self.xs[0],self.ys[0]))
fig_line = plt.figure(figsize=(22, 8))
ax_line = fig_line.add_subplot(121)
lat_vert, lon_vert,vert,ncv,absx,lx,ly =[],[],[],[],[],[],[]
label_vert=[]
#---------------Line plot----------------------------
for i in range(0,len(self.xs)):
points=get_line(int(round(cycle[i][0])), int(round(cycle[i][1])), int(round(cycle[i+1][0])),int(round(cycle[i+1][1])))
for j in points:
lx.append(j[0])
ly.append(j[1])
ncv.append(self.mx[j[1],j[0]])
lat_vert.append(self.lat[j[1],j[0]])
lon_vert.append(self.lon[j[1],j[0]])
if len(lx) ==1:
absx.append(lx[0])
else:
absx.append(absx[-1]+int(sqrt((lx[-1]-lx[-2])**2+(ly[-1]-ly[-2])**2)))
if len(vert)==0:
vert.append((absx[0],lat_vert[0],lon_vert[0]))
vert.append((absx[-1],lat_vert[-1],lon_vert[-1]))
else:
vert.append((absx[-1],lat_vert[-1],lon_vert[-1]))
#Line plot parameters and line plot itself
ncv = np.asarray(ncv)
r_ncv = ncv[~np.isnan(ncv)]
if len(r_ncv) != 0:
ax_line.axis([min(absx)-(max(absx)-min(absx))/20., max(absx)+(max(absx)-min(absx))/20., min(r_ncv), max(r_ncv)+(max(r_ncv)-min(r_ncv))/20.])
else:
pass
x_tick=[]
x_label=[]
if len(vert) > 1:
for v in vert:
x_tick.append(v[0])
x_label.append('('+str('%.1f' % v[1])+','+str('%.1f' % v[2])+')')
else:
pass
ax_line.set_xticks(x_tick)
ax_line.set_xticklabels(x_label, rotation=30, fontsize=8)
ax_line.xaxis.grid(True)
ax_line.yaxis.grid(True)
ax_line.plot(absx,ncv)
# Polygon mask
mask_polygon = np.zeros(( np.amax(np.asarray(ly))-np.amin(np.asarray(ly))+1, np.amax(np.asarray(lx))-np.amin(np.asarray(lx))+1))
poly_vert=[]
for i in vertices:
poly_vert.append((i[1]-np.amin(np.asarray(ly)),i[0]-np.amin(np.asarray(lx))))
path = Path(poly_vert)
mx_slice = mx[(min(np.asarray(ly))-1):(max(np.asarray(ly))), (min(np.asarray(lx))-1):(max(np.asarray(lx)))]
for index, val in np.ndenumerate(mx_slice):
if path.contains_point(index)==1:
mask_polygon[index]=1
else:
pass
#polygon plot
ax_zoom = fig_line.add_subplot(122)
x_tick, y_tick, x_label, y_label = [],[],[],[]
for v in np.linspace(0, np.amax(np.asarray(ly))-np.amin(np.asarray(ly)), num = 21):
y_tick.append(v)
y_label.append(str(int(y_0+v+ np.amin(np.asarray(ly)))))
for v in np.linspace(0, np.amax(np.asarray(lx))-np.amin(np.asarray(lx)), num = 21):
x_tick.append(v)
x_label.append(str(int(x_0+v+ np.amin(np.asarray(lx)))))
ax_zoom.set_xticks(x_tick)
ax_zoom.set_xticklabels(x_label, rotation=30)
ax_zoom.set_yticks(y_tick)
ax_zoom.set_yticklabels(y_label)
mx_slice_masked = ma.masked_where(mask_polygon==0,mx_slice)
mx_slice_out = ma.masked_where(mask_polygon==1,mx_slice)
lvls = np.linspace(np.amin(mx_slice_masked),np.amax(mx_slice_masked),num=21)
print "the following arguments can be passed to the script for further zooming if needed:"
print "--yrange ", str(y_0+min(np.asarray(ly)))+":"+str(y_0+max(np.asarray(ly))), " --xrange ", str(x_0+min(np.asarray(lx)))+":"+str(x_0+max(np.asarray(lx))), " --var_min ", np.amin(mx_slice_masked), " --var_max ", np.amax(mx_slice_masked)
cmap_zoom=plt.cm.spectral
cmap_out = plt.cm.Greys
if args.contourf == "yes":
slice_mesh=ax_zoom.contourf(mx_slice_masked,levels=lvls, cmap=cmap_zoom)
slice_mesh_out=ax_zoom.contourf(mx_slice_out,levels=lvls, cmap=cmap_out, vmin=np.amin(mx_slice_masked), vmax=np.amax(mx_slice_masked))
else:
slice_mesh=ax_zoom.pcolormesh(mx_slice_masked, cmap=cmap_zoom)
slice_out=ax_zoom.pcolormesh(mx_slice_out, cmap=cmap_out, vmin=np.amin(mx_slice_masked), vmax=np.amax(mx_slice_masked))
for vert in vertices:
txt = plt.text(round(vert[0])-min(np.asarray(lx)), round(vert[1])-min(np.asarray(ly)), "("+str('%.1f' % lat[(round(vert[1]),round(vert[0]))])+","+str('%.1f' % lon[(round(vert[1]),round(vert[0]))])+")", fontsize=8)
txt.set_bbox(dict(color='white', alpha=0.5, edgecolor='red'))
plt.axis('tight')
# info at polygon vertices
box = ax_zoom.get_position()
ax_zoom.set_position([box.x0*1.05, box.y0, box.width, box.height])
axColor = plt.axes([box.x0 + box.width * 1.16, box.y0, 0.01, box.height])
plt.colorbar(slice_mesh, cax = axColor, ticks=lvls, orientation="vertical")
#nullify arrays for next pick
self.xs = []
self.ys = []
plt.show()
else:
print "click one more time please!"
if event.dblclick == True:
print "double click detected"
line.figure.canvas.mpl_disconnect(self.cid)
exit()
def get_contours(self, fitsfile, Ak=None):
"""
Given a continuum FITS file, return the contours enclosing
the source position at a given flux level.
There are a couple complications:
1) We seek a closed contour
2) The contour should only extend over the region
covered by the NIR image (K-band, in this case)
This function could usefully be refactored/simplified
"""
hdulist = fits.open(fitsfile)
header = hdulist[0].header
img = hdulist[0].data
if not Ak:
contour_level = self.contour_level #10 av in Jy?
print("Using a contour level of: " + str(round(contour_level, 3)))
else:
contour_level = self.calculate_continuum_level(
cont_survey=self.cont_survey, Ak=Ak)
print("Using a contour level of: " + str(round(contour_level, 3)))
wcs = pywcs.WCS(header)
yy, xx = np.indices(img.shape)
img[img != img] = 0
#Set the borders of an image to be zero (blank) so that all contours close
img[0, :] = 0.0
img[-1, :] = 0.0
img[:, 0] = 0.0
img[:, -1] = 0.0
self.all_contours = []
#for contour_level in contour_levels:
wcs_paths = self.make_contour_at_level(wcs, img, yy, xx, contour_level)
# self.all_contours.append(np.array(wcs_paths))
index = 0
self.good_contour = False
print(self.glon, self.glat)
if len(wcs_paths) > 1:
print("More than one contour")
for i, wcs_path in enumerate(wcs_paths):
path = Path(wcs_path)
#print(path)
if path.contains_point((self.glon, self.glat)):
index = i
self.good_contour = True
print("This was the contour containing the center")
#index = 1
#self.good_contour = True
self.contours = wcs_paths[index]
#self.contours[:,0] -= 0.02
#self.contours[:,1] += 0.02
#print(self.contours[:,1])
else:
self.good_contour = True
self.contours = wcs_paths[0]
#This selects a contour containing the center
#Now we trim the contour to the boundaries of the UKIDSS image
if self.good_contour:
#And check to see which contour (if any) contains the center
self.good_contour = False
#Find the boundaries of the UKIDSS (K-band image) in Galactic coordinates
h = fits.getheader(self.kim)
xmin = 0
xmax = h['NAXIS1']
ymin = 0
ymax = h['NAXIS2']
wcs = pywcs.WCS(h)
corners = wcs.wcs_pix2world(
[[xmin, ymin], [xmin, ymax], [xmax, ymax], [xmax, ymin]], 0)
gals = []
for coord in corners:
c = coordinates.ICRS(ra=coord[0],
dec=coord[1],
unit=[u.deg, u.deg])
gal = c.transform_to(coordinates.Galactic)
gals.append(gal)
mycoords = []
for gal in gals:
l, b = gal.l.degree, gal.b.degree
mycoords.append((l, b))
p1 = shapely.geometry.Polygon(self.contours)
p1 = p1.buffer(0)
#print(p1.is_valid)
p2 = shapely.geometry.Polygon(mycoords)
p2.buffer(0)
#print(p2.is_valid)
ya = p1.intersection(p2)
#print(ya)
try:
mycontours = []
xx, yy = ya.exterior.coords.xy
for ix, iy in zip(xx, yy):
mycontours.append((ix, iy))
self.contours = np.array(mycontours)
self.good_contour = True
except AttributeError: #MultiPolygon
mycontours = []
for j, poly in enumerate(ya):
try:
#print(poly)
yoyo = np.asarray(poly.exterior.coords.xy)
#print(yoyo.shape)
#print(yoyo)
yoyo2 = yoyo.T
#print(poly.exterior.coords.xy)
#yya = poly.exterior.coords.xy[0]
#print(yya.shape)
#print(yoyo2)
path = Path(yoyo2)
if path.contains_point((self.glon, self.glat)):
self.good_contour = True
index = i
print("This was the contour containing the center")
xx, yy = poly.exterior.coords.xy
for ix, iy in zip(xx, yy):
mycontours.append((ix, iy))
self.contours = np.array(mycontours)
except IOError:
pass
self.contour_area = self.calc_contour_area(self.contours)
if not self.good_contour:
print("######## No good contour found ########")
self.contours = None
self.contour_area = 0
def get_contours(self, fitsfile, Ak=None):
"""
Given a continuum FITS file, return the contours enclosing
the source position at a given flux level.
There are a couple complications:
1) We seek a closed contour
2) The contour should only extend over the region
covered by the NIR image (K-band, in this case)
This function could usefully be refactored/simplified
"""
hdulist = fits.open(fitsfile)
header = hdulist[0].header
img = hdulist[0].data
if not Ak:
contour_level = self.contour_level #10 av in Jy?
print("Using a contour level of: "+str(round(contour_level,3)))
else:
contour_level = self.calculate_continuum_level(
cont_survey=self.cont_survey,
Ak=Ak)
print("Using a contour level of: "+str(round(contour_level,3)))
wcs = pywcs.WCS(header)
yy,xx = np.indices(img.shape)
img[img!=img] = 0
#Set the borders of an image to be zero (blank) so that all contours close
img[0,:] = 0.0
img[-1,:] = 0.0
img[:,0] = 0.0
img[:,-1] = 0.0
self.all_contours = []
#for contour_level in contour_levels:
wcs_paths = self.make_contour_at_level(wcs,img,yy,xx,contour_level)
# self.all_contours.append(np.array(wcs_paths))
index = 0
self.good_contour = False
print(self.glon,self.glat)
if len(wcs_paths) > 1:
print("More than one contour")
for i,wcs_path in enumerate(wcs_paths):
path = Path(wcs_path)
#print(path)
if path.contains_point((self.glon,self.glat)):
index = i
self.good_contour = True
print("This was the contour containing the center")
#index = 1
#self.good_contour = True
self.contours = wcs_paths[index]
#self.contours[:,0] -= 0.02
#self.contours[:,1] += 0.02
#print(self.contours[:,1])
else:
self.good_contour = True
self.contours = wcs_paths[0]
#This selects a contour containing the center
#Now we trim the contour to the boundaries of the UKIDSS image
if self.good_contour:
#And check to see which contour (if any) contains the center
self.good_contour = False
#Find the boundaries of the UKIDSS (K-band image) in Galactic coordinates
h = fits.getheader(self.kim)
xmin = 0
xmax = h['NAXIS1']
ymin = 0
ymax = h['NAXIS2']
wcs = pywcs.WCS(h)
corners = wcs.wcs_pix2world([[xmin,ymin],[xmin,ymax],[xmax,ymax],[xmax,ymin]],0)
gals = []
for coord in corners:
c = coordinates.ICRS(ra=coord[0],dec=coord[1],unit=[u.deg,u.deg])
gal = c.transform_to(coordinates.Galactic)
gals.append(gal)
mycoords = []
for gal in gals:
l,b = gal.l.degree,gal.b.degree
mycoords.append((l,b))
p1 = shapely.geometry.Polygon(self.contours)
p1 = p1.buffer(0)
#print(p1.is_valid)
p2 = shapely.geometry.Polygon(mycoords)
p2.buffer(0)
#print(p2.is_valid)
ya = p1.intersection(p2)
#print(ya)
try:
mycontours = []
xx,yy = ya.exterior.coords.xy
for ix,iy in zip(xx,yy):
mycontours.append((ix,iy))
self.contours = np.array(mycontours)
self.good_contour = True
except AttributeError: #MultiPolygon
mycontours = []
for j,poly in enumerate(ya):
try:
#print(poly)
yoyo = np.asarray(poly.exterior.coords.xy)
#print(yoyo.shape)
#print(yoyo)
yoyo2 = yoyo.T
#print(poly.exterior.coords.xy)
#yya = poly.exterior.coords.xy[0]
#print(yya.shape)
#print(yoyo2)
path = Path(yoyo2)
if path.contains_point((self.glon,self.glat)):
self.good_contour = True
index = i
print("This was the contour containing the center")
xx,yy = poly.exterior.coords.xy
for ix,iy in zip(xx,yy):
mycontours.append((ix,iy))
self.contours = np.array(mycontours)
except IOError:
pass
self.contour_area = self.calc_contour_area(self.contours)
if not self.good_contour:
print("######## No good contour found ########")
self.contours = None
self.contour_area = 0
