本文整理汇总了Python中matplotlib.collections.PatchCollection.set_antialiased方法的典型用法代码示例。如果您正苦于以下问题：Python PatchCollection.set_antialiased方法的具体用法？Python PatchCollection.set_antialiased怎么用？Python PatchCollection.set_antialiased使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.collections.PatchCollection的用法示例。
在下文中一共展示了PatchCollection.set_antialiased方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: cvshade
# 需要导入模块: from matplotlib.collections import PatchCollection [as 别名]
# 或者: from matplotlib.collections.PatchCollection import set_antialiased [as 别名]
def cvshade(clon,clat,valsin,proj='cyl',lon0=215,res='c',blat=30,fz=(11.6,5.8),add=None,cbticksize=12,cbticks=None,nocb=None,vlo=None,vhi=None,lat0=None,wid=12000000,ht=8000000,**kwargs):
from mpl_toolkits.basemap import Basemap, shiftgrid, addcyclic
from mcmath import edges
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
from ferr import use
## dgrid = use('/scratch/local2/u241180/data/mill/MPI_lon-lat-pressure-points_ocean-grid.nc',silent=1)
## clon = dgrid.v['grid_center_lon'][:]
## clat = dgrid.v['grid_center_lat'][:]
## clon_crnr = dgrid.v['grid_corner_lon'][:]
## clat_crnr = dgrid.v['grid_corner_lat'][:]
if clon.shape[0] == 4 and clat.shape[0] == 4:
clat = np.transpose(clat,(1,2,0))
clon = np.transpose(clon,(1,2,0))
clonc = clon.reshape((-1,4))
clatc = clat.reshape((-1,4))
clonc1 = np.where(clonc < 35, clonc + 360, clonc)
clonc2 = np.empty_like(clonc1)
clatc2 = clatc.copy()
lhs_x = np.empty((0,4),dtype=np.float32)
lhs_y = np.empty((0,4),dtype=np.float32)
lhs_val = np.empty(0,dtype=np.float32)
val_flat = valsin.copy()
if isinstance(valsin,np.ma.MaskedArray):
val_flat[val_flat.mask] = np.nan
val_flat = val_flat.flatten()
for ii in xrange(clonc1.shape[0]):
clonc2[ii] = clonc1[ii]
if ((clonc1[ii] > 350).any() & (clonc1[ii] < 50).any()):
clonc2[ii] = np.where(clonc1[ii] < 50, 395., clonc1[ii])
lhs_x = np.append(lhs_x,np.where(clonc1[ii] > 50,35.,clonc1[ii]).reshape(1,-1),axis=0)
lhs_y = np.append(lhs_y,clatc2[ii].reshape(1,-1),axis=0)
lhs_val = np.append(lhs_val,val_flat[ii])
val2 = np.append(val_flat,lhs_val)
if isinstance(valsin,np.ma.MaskedArray):
val2 = np.ma.masked_invalid(val2)
clonc2 = np.append(clonc2,lhs_x,axis=0)
clatc2 = np.append(clatc2,lhs_y,axis=0)
if proj == 'cyl':
m1 = Basemap(projection='cyl',llcrnrlat=-90,urcrnrlat=90,\
llcrnrlon=35,urcrnrlon=395,resolution='c')
elif proj == 'moll':
m1 = Basemap(projection='moll',lon_0=lon0)
elif proj == 'npl':
m1 = Basemap(projection='nplaea',boundinglat=blat,lon_0=lon0,resolution='l')
elif proj == 'spl':
m1 = Basemap(projection='splaea',boundinglat=blat,lon_0=lon0,resolution='l')
elif proj == 'laea':
if (lat0 is None):
raise MCPlotError("central latitude not specified")
m1 = Basemap(width=wid,height=ht,resolution='l',projection='laea',\
lat_ts=lat0,lat_0=lat0,lon_0=lon0)
else:
raise MCPlotError("no proj %s found!" % proj)
if add is None:
fig = plt.figure(figsize=fz)
ax = fig.add_axes((0.05,0.05,0.8,0.9),autoscale_on=False)
else:
fig = plt.gcf()
ax = plt.gca()
patches = np.empty(clonc2.shape[0],dtype=object)
for ii in xrange(clonc2.shape[0]):
xx1 = clonc2[ii]
yy1 = clatc2[ii]
xx,yy = m1(xx1,yy1)
indx = np.array(zip(xx,yy))
patches[ii] = Polygon(indx, True)
p1 = PatchCollection(patches, edgecolors='none', linewidths=0,**kwargs)
p1.set_array(val2)
if ((vlo is not None) & (vhi is not None)):
p1.set_clim(vmin=vlo,vmax=vhi)
p1.set_antialiased(False)
m1.drawmapboundary()
## ax = gca()
ax.add_collection(p1)
m1.drawcoastlines()
if not bool(nocb):
if add is None:
ax2 = fig.add_axes((0.89,0.1,0.02,0.8),autoscale_on=False)
if cbticks is None:
plt.colorbar(p1,cax=ax2,ax=ax,extend='both')
else:
plt.colorbar(p1,cax=ax2,ax=ax,extend='both',ticks=cbticks)
else:
bbox1 = ax.get_position()
endx = bbox1.get_points()[1,0]
endy = bbox1.get_points()[1,1]
#.........这里部分代码省略.........