def generate_artist(self):
container=self.get_container()
if self.isempty() is False:
return
x, y = self._eval_xy() # this handles "use_var"
lp=self.getp("loaded_property")
if True:
x, y = self.getp(("x", "y"))
if y is None: return
if x is None: return
if (x is not None and
y is not None):
self._data_extent=[np.nanmin(x), np.nanmax(x),
np.nanmin(y), np.nanmax(y)]
if len(y.shape) == 1:
kywds = self._var["kywds"]
args, self._tri = tri_args(x, y, self._tri)
kywds['mask'] = self.getp('mask')
kywds['linestyle'] = self.getp('linestyle')
kywds['linewidth'] = self.getp('linewidth')
kywds['color'] = self.getp('color')
a = triplot(container, *args, **kywds)
self.set_artist(a[0])
self._other_artists = a[1:]
if lp is not None:
for i in range(0, len(lp)):
self.set_artist_property(self._artists[i], lp[i])
self.delp("loaded_property")
self.set_rasterized()
def generate_artist(self):
container = self.get_container()
if self.isempty() is False:
return
x, y = self._eval_xy() # this handles "use_var"
lp = self.getp("loaded_property")
if True:
x, y = self.getp(("x", "y"))
if y is None:
return
if x is None:
return
if (x is not None and y is not None):
self._data_extent = [
np.nanmin(x),
np.nanmax(x),
np.nanmin(y),
np.nanmax(y)
]
if len(y.shape) == 1:
kywds = self._var["kywds"]
args, self._tri = tri_args(x, y, self._tri)
kywds['mask'] = self.getp('mask')
kywds['linestyle'] = self.getp('linestyle')
kywds['linewidth'] = self.getp('linewidth')
kywds['color'] = self.getp('color')
a = triplot(container, *args, **kywds)
self.set_artist(a[0])
self._other_artists = a[1:]
if lp is not None:
for i in range(0, len(lp)):
self.set_artist_property(self._artists[i], lp[i])
self.delp("loaded_property")
self.set_rasterized()
def generate_artist(self):
### this method generate artist
### if artist does exist, update artist
### based on the information specifically
### managed by fig_obj tree. Any property
### internally managed by matplotlib
### does not change
container=self.get_container()
if container is None: return
flag = 0
if self.isempty() is False:
return
x, y, z = self._eval_xyz() # this handles "use_var"
if z is None: return
lp=self.getp("loaded_property")
v, n, FillMode = self.getp(('v', 'n', 'FillMode'))
kywds = self.getvar('kywds')
kywds['alpha'] = self.getp('alpha')
if self.getp('use_tri'):
x = x.flatten()
y = y.flatten()
z = z.flatten()
args, self._tri = tri_args(x, y, self._tri)
print args
else:
args=[]
if x is not None: args.append(x)
if y is not None: args.append(y)
if z is not None: args.append(z)
if (not self._nouse_expression and
v is not None):
args.append(v)
else:
args.append(int(n))
cax = self.get_caxisparam()
# dprint2(args)
if len(args) == 0: return
self._data_extent=[np.min(x), np.max(x), np.min(y), np.max(y)]
# self.setp("data_extent",[min(x), max(x), min(y), max(y)])
try:
if self.get_figaxes().get_3d():
kywds['offset'] = self.getvar('offset')
kywds['zdir'] = self.getvar('zdir')
except:
pass
if self.getp('use_tri'):
if FillMode:
method = container.tricontourf
else:
method = container.tricontour
else:
if FillMode:
method = container.contourf
else:
method = container.contour
try:
self._mappable = method(*args, **kywds)
self._artists = self._mappable.collections[:]
self.set_rasterized()
for a in self.get_mappable():
cax.set_crangeparam_to_artist(a)
except Exception:
logging.exception("FigContour:generate_artist : artist generation failed")
if lp is not None:
# print lp
for i, var in enumerate(lp):
if len(self._artists) > i:
self.set_artist_property(self._artists[i], var)
self.delp("loaded_property")
for path in self._artists:
# path.set_picker(cpicker.Picker)
path.figobj=self
path.figobj_hl=[]
path.set_zorder(self.getp('zorder'))
if self._clabel_param['use_clabel'] and not FillMode:
args, kargs = self._make_clabel_param()
wx.CallLater(1, self.call_clabel, *args, **kargs)
def generate_artist(self):
### this method generate artist
### if artist does exist, update artist
### based on the information specifically
### managed by fig_obj tree. Any property
### internally managed by matplotlib
### does not change
container = self.get_container()
if container is None: return
flag = 0
if self.isempty() is False:
return
x, y, z = self._eval_xyz() # this handles "use_var"
if z is None: return
lp = self.getp("loaded_property")
v, n, FillMode = self.getp(('v', 'n', 'FillMode'))
kywds = self.getvar('kywds')
kywds['alpha'] = self.getp('alpha')
if self.getp('use_tri'):
x = x.flatten()
y = y.flatten()
z = z.flatten()
args, self._tri = tri_args(x, y, self._tri)
print args
else:
args = []
if x is not None: args.append(x)
if y is not None: args.append(y)
if z is not None: args.append(z)
if (not self._nouse_expression and v is not None):
args.append(v)
else:
args.append(int(n))
cax = self.get_caxisparam()
# dprint2(args)
if len(args) == 0: return
self._data_extent = [np.min(x), np.max(x), np.min(y), np.max(y)]
# self.setp("data_extent",[min(x), max(x), min(y), max(y)])
try:
if self.get_figaxes().get_3d():
kywds['offset'] = self.getvar('offset')
kywds['zdir'] = self.getvar('zdir')
except:
pass
if self.getp('use_tri'):
if FillMode:
method = container.tricontourf
else:
method = container.tricontour
else:
if FillMode:
method = container.contourf
else:
method = container.contour
try:
self._mappable = method(*args, **kywds)
self._artists = self._mappable.collections[:]
self.set_rasterized()
for a in self.get_mappable():
cax.set_crangeparam_to_artist(a)
except Exception:
logging.exception(
"FigContour:generate_artist : artist generation failed")
if lp is not None:
# print lp
for i, var in enumerate(lp):
if len(self._artists) > i:
self.set_artist_property(self._artists[i], var)
self.delp("loaded_property")
for path in self._artists:
# path.set_picker(cpicker.Picker)
path.figobj = self
path.figobj_hl = []
path.set_zorder(self.getp('zorder'))
if self._clabel_param['use_clabel'] and not FillMode:
args, kargs = self._make_clabel_param()
wx.CallLater(1, self.call_clabel, *args, **kargs)
def generate_artist(self):
### this method generate artist
### if artist does exist, update artist
### based on the information specifically
### managed by fig_obj tree. Any property
### internally managed by matplotlib
### does not change
container = self.get_container()
if container is None: return
# if self.get_figaxes().get_3d(): return
if self.isempty() is False:
return
x, y, z = self._eval_xyz()
if z is None: return
lp = self.getp("loaded_property")
aspect = container.get_aspect()
cax = self.get_caxisparam()
if cax is None:
dprint1('Error: cax is None')
return
crange = cax.range
if lp is None or len(lp) == 0:
if (self._tri is not None and self._tri.shape[0] == z.size):
pass
else:
if (x.size * y.size != z.size
and not (x.size == z.size and y.size == z.size)):
print('FigImage: array size is wrong')
return
if not self.getvar('use_tri'):
if self.get_figaxes().get_3d():
xp, yp, zp = x, y, z
extent = (
np.min(x),
np.max(x),
np.min(y),
np.max(y),
)
else:
xp, yp, zp = self.interp_image(x, y, z)
extent = (
np.min(xp),
np.max(xp),
np.min(yp),
np.max(yp),
)
args = []
kywds = self._var["kywds"]
kywds['alpha'] = self.getp('alpha')
# args.append(np.flipud(zp))
if cax.scale == 'linear':
args.append(zp)
kywds["vmin"] = crange[0]
kywds["vmax"] = crange[1]
else:
# args.append(np.log10(zp))
args.append(zp)
kywds["vmin"] = np.log10(max((crange[0], 1e-16)))
kywds["vmax"] = np.log10(max((crange[1], 1e-16)))
kywds["aspect"] = aspect
kywds["origin"] = 'lower'
kywds["interpolation"] = self.getp("interp")
self.set_artist(
container.imshow(
*args,
# picker=cpicker.Picker,
extent=extent,
**kywds))
cax.set_crangeparam_to_artist(self._artists[0])
setattr(self._artists[0].get_array(), '_xyp', (xp, yp))
else:
#print('drawing tri image')
if x.size * y.size == z.size:
X, Y = np.meshgrid(x, y)
x = X.flatten()
y = Y.flatten()
else:
if len(x.shape) != 1: x = x.flatten()
if len(y.shape) != 1: y = y.flatten()
args, self._tri = tri_args(x, y, self._tri)
kywds = self._var["kywds"]
kywds['alpha'] = self.getp('alpha')
if cax.scale == 'linear':
args.append(z.flatten().astype(float))
kywds["clim"] = (crange[0], crange[1])
else:
# args.append(np.log10(z))
args.append(z.flatten().astype(float))
kywds["clim"] = [
np.log10(max((crange[0], 1e-16))),
np.log10(max((crange[1], 1e-16)))
]
kywds['shading'] = self.getp('shading')
kywds['mask'] = self.getp('mask')
self.set_artist(container.tripcolor(*args, **kywds))
cax.set_crangeparam_to_artist(self._artists[0])
self._data_extent = [np.min(x), np.max(x), np.min(y), np.max(y)]
else:
if self.getvar('use_tri'):
#print('redrawing tri image')
x, y, z = self.getp(('x', 'y', 'z'))
x = x.flatten()
y = y.flatten()
args, self._tri = tri_args(x, y, self._tri)
args.append(z.flatten().astype(float))
# astype(float) is patch work to open past files..
kywds = self._var["kywds"]
kywds = lp[0]
kywds['shading'] = self.getp('shading')
kywds['mask'] = self.getp('mask')
kywds['alpha'] = self.getp('alpha')
keys = ['alpha', 'cmap', 'zorder']
for k in keys:
if k in lp[0]: kywds[k] = lp[0][k]
# print lp
# kywds["clim"]=lp[0]["clim"]
self.set_artist(container.tripcolor(*args, **kywds))
cax.set_crangeparam_to_artist(self._artists[0])
else:
x, y, z = self.getp(('x', 'y', 'z'))
xp, yp, zp = self.interp_image(x, y, z)
args = []
kywds = {}
kywds['alpha'] = self.getp('alpha')
kywds["interpolation"] = self.getp("interp")
# print lp[0]
if cax.scale == 'linear':
args.append(zp)
kywds["vmin"] = crange[0]
kywds["vmax"] = crange[1]
else:
args.append(zp)
kywds["vmin"] = np.log10(max((crange[0], 1e-16)))
kywds["vmax"] = np.log10(max((crange[1], 1e-16)))
keys = ['alpha', 'cmap', 'zorder']
for k in keys:
if k in lp[0]: kywds[k] = lp[0][k]
self.set_artist(
container.imshow(*args,
extent=lp[0]["extent"],
aspect=aspect,
origin='lower',
**kywds))
cax.set_crangeparam_to_artist(self._artists[0])
setattr(self._artists[0].get_array(), '_xyp', (xp, yp))
self.delp("loaded_property")
self.set_rasterized()
# this is to resize image when window is resized...
if not self._cb_added:
fig_page = self.get_figpage()
fig_page.add_resize_cb(self)
self._cb_added = True
def generate_artist(self):
### this method generate artist
### if artist does exist, update artist
### based on the information specifically
### managed by fig_obj tree. Any property
### internally managed by matplotlib
### does not change
container=self.get_container()
if container is None: return
# if self.get_figaxes().get_3d(): return
if self.isempty() is False:
return
x, y, z = self._eval_xyz()
if z is None: return
lp=self.getp("loaded_property")
aspect = container.get_aspect()
cax = self.get_caxisparam()
if cax is None:
dprint1('Error: cax is None')
return
crange = cax.range
if lp is None or len(lp) == 0:
if (self._tri is not None and
self._tri.shape[0] == z.size):
pass
else:
if (x.size*y.size != z.size and
not (x.size == z.size and y.size==z.size)):
print('FigImage: array size is wrong')
return
if not self.getvar('use_tri'):
if self.get_figaxes().get_3d():
xp, yp, zp = x, y, z
extent = (np.min(x), np.max(x),
np.min(y), np.max(y), )
else:
xp, yp, zp = self.interp_image(x, y, z)
extent = (np.min(xp), np.max(xp),
np.min(yp), np.max(yp), )
args=[]
kywds=self._var["kywds"]
kywds['alpha'] = self.getp('alpha')
# args.append(np.flipud(zp))
if cax.scale == 'linear':
args.append(zp)
kywds["vmin"]=crange[0]
kywds["vmax"]=crange[1]
else:
# args.append(np.log10(zp))
args.append(zp)
kywds["vmin"]=np.log10(max((crange[0], 1e-16)))
kywds["vmax"]=np.log10(max((crange[1], 1e-16)))
kywds["aspect"]=aspect
kywds["origin"]='lower'
kywds["interpolation"]=self.getp("interp")
self.set_artist(container.imshow(*args,
# picker=cpicker.Picker,
extent=extent, **kywds))
cax.set_crangeparam_to_artist(self._artists[0])
setattr(self._artists[0].get_array(), '_xyp', (xp, yp))
else:
#print('drawing tri image')
if x.size*y.size == z.size:
X, Y = np.meshgrid(x, y)
x = X.flatten()
y = Y.flatten()
else:
if len(x.shape) != 1: x = x.flatten()
if len(y.shape) != 1: y = y.flatten()
args, self._tri = tri_args(x, y, self._tri)
kywds=self._var["kywds"]
kywds['alpha'] = self.getp('alpha')
if cax.scale == 'linear':
args.append(z.flatten().astype(float))
kywds["clim"]=(crange[0], crange[1])
else:
# args.append(np.log10(z))
args.append(z.flatten().astype(float))
kywds["clim"]=[np.log10(max((crange[0], 1e-16))),
np.log10(max((crange[1], 1e-16)))]
kywds['shading']=self.getp('shading')
kywds['mask']=self.getp('mask')
self.set_artist(container.tripcolor(*args,
**kywds))
cax.set_crangeparam_to_artist(self._artists[0])
self._data_extent = [np.min(x), np.max(x),
np.min(y), np.max(y)]
else:
if self.getvar('use_tri'):
#print('redrawing tri image')
x, y, z = self.getp(('x', 'y', 'z'))
x = x.flatten()
y = y.flatten()
args, self._tri = tri_args(x, y, self._tri)
args.append(z.flatten().astype(float))
# astype(float) is patch work to open past files..
kywds=self._var["kywds"]
kywds = lp[0]
kywds['shading']=self.getp('shading')
kywds['mask'] = self.getp('mask')
kywds['alpha'] = self.getp('alpha')
keys = ['alpha', 'cmap', 'zorder']
for k in keys:
if k in lp[0]: kywds[k] = lp[0][k]
# print lp
# kywds["clim"]=lp[0]["clim"]
self.set_artist( container.tripcolor(*args,
**kywds))
cax.set_crangeparam_to_artist(self._artists[0])
else:
x, y, z = self.getp(('x', 'y', 'z'))
xp, yp, zp = self.interp_image(x, y, z)
args=[]
kywds = {}
kywds['alpha'] = self.getp('alpha')
kywds["interpolation"]=self.getp("interp")
# print lp[0]
if cax.scale == 'linear':
args.append(zp)
kywds["vmin"]=crange[0]
kywds["vmax"]=crange[1]
else:
args.append(zp)
kywds["vmin"]=np.log10(max((crange[0], 1e-16)))
kywds["vmax"]=np.log10(max((crange[1], 1e-16)))
keys = ['alpha', 'cmap', 'zorder']
for k in keys:
if k in lp[0]: kywds[k] = lp[0][k]
self.set_artist(container.imshow(*args,
extent = lp[0]["extent"], aspect=aspect,
origin='lower', **kywds))
cax.set_crangeparam_to_artist(self._artists[0])
setattr(self._artists[0].get_array(), '_xyp', (xp, yp))
self.delp("loaded_property")
self.set_rasterized()
# this is to resize image when window is resized...
if not self._cb_added:
fig_page = self.get_figpage()
fig_page.add_resize_cb(self)
self._cb_added = True