本文整理汇总了Python中matplotlib.toolkits.basemap.Basemap.quiver方法的典型用法代码示例。如果您正苦于以下问题：Python Basemap.quiver方法的具体用法？Python Basemap.quiver怎么用？Python Basemap.quiver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.toolkits.basemap.Basemap的用法示例。
在下文中一共展示了Basemap.quiver方法的4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: geographical
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import quiver [as 别名]
# plot vectors in geographical (lat/lon) coordinates.
# north polar projection.
m = Basemap(lon_0=-135,boundinglat=25,
resolution='c',area_thresh=10000.,projection='npstere')
# create a figure, add an axes.
fig=figure(figsize=(8,8))
ax = fig.add_axes([0.1,0.1,0.7,0.7])
# rotate wind vectors to map projection coordinates.
# (also compute native map projections coordinates of lat/lon grid)
# only do Northern Hemisphere.
urot,vrot,x,y = m.rotate_vector(u[36:,:],v[36:,:],lons[36:,:],lats[36:,:],returnxy=True)
# plot filled contours over map.
cs = m.contourf(x,y,p[36:,:],15,cmap=cm.jet)
# plot wind vectors over map.
Q = m.quiver(x,y,urot,vrot) #or specify, e.g., width=0.003, scale=400)
qk = quiverkey(Q, 0.95, 1.05, 25, '25 m/s', labelpos='W')
cax = axes([0.875, 0.1, 0.05, 0.7]) # setup colorbar axes.
colorbar(cax=cax) # draw colorbar
axes(ax) # make the original axes current again
m.drawcoastlines()
m.drawcountries()
# draw parallels
delat = 20.
circles = arange(0.,90.+delat,delat).tolist()+\
arange(-delat,-90.-delat,-delat).tolist()
m.drawparallels(circles,labels=[1,1,1,1])
# draw meridians
delon = 45.
meridians = arange(-180,180,delon)
m.drawmeridians(meridians,labels=[1,1,1,1])示例2: Basemap
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import quiver [as 别名]
# north polar projection.
m = Basemap(llcrnrlon=-180.,llcrnrlat=10.,urcrnrlon=0.,urcrnrlat=10.,\
resolution='c',area_thresh=10000.,projection='stere',\
lat_0=90.,lon_0=-135.,lat_ts=90.)
# setup figure with same aspect ratio as map.
xsize = rcParams['figure.figsize'][0]
fig=figure(figsize=(xsize,m.aspect*xsize))
ax = fig.add_axes([0.1,0.1,0.7,0.7])
# rotate wind vectors to map projection coordinates.
# (also compute native map projections coordinates of lat/lon grid)
# only do Northern Hemisphere.
urot,vrot,x,y = m.rotate_vector(u[36:,:],v[36:,:],lons[36:,:],lats[36:,:],returnxy=True)
# plot filled contours over map.
levels, colls = m.contourf(x,y,p[36:,:],15,cmap=cm.jet,colors=None)
# plot wind vectors over map.
m.quiver(x,y,urot,vrot)
cax = axes([0.875, 0.1, 0.05, 0.7]) # setup colorbar axes.
colorbar(tickfmt='%d', cax=cax) # draw colorbar
axes(ax) # make the original axes current again
m.drawcoastlines()
m.drawcountries()
# draw parallels
delat = 20.
circles = arange(0.,90.+delat,delat).tolist()+\
arange(-delat,-90.-delat,-delat).tolist()
m.drawparallels(circles,labels=[1,1,1,1])
# draw meridians
delon = 45.
meridians = arange(-180,180,delon)
m.drawmeridians(meridians,labels=[1,1,1,1])
title('Surface Winds Winds and Pressure',y=1.075)示例3: grid
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import quiver [as 别名]
CS = m.contour(x,y,slp[nt,:,:],clevs,linewidths=0.5,colors='k',animated=True)
CS = m.contourf(x,y,slp[nt,:,:],clevs,cmap=p.cm.RdBu_r,animated=True)
# plot wind vectors on lat/lon grid.
# rotate wind vectors to map projection coordinates.
#urot,vrot = m.rotate_vector(u[nt,:,:],v[nt,:,:],lons,lats)
# plot wind vectors over map.
#Q = m.quiver(x,y,urot,vrot,scale=500)
# plot wind vectors on projection grid (looks better).
# first, shift grid so it goes from -180 to 180 (instead of 0 to 360
# in longitude). Otherwise, interpolation is messed up.
ugrid,newlons = shiftgrid(180.,u[nt,:,:],longitudes,start=False)
vgrid,newlons = shiftgrid(180.,v[nt,:,:],longitudes,start=False)
# transform vectors to projection grid.
urot,vrot,xx,yy = m.transform_vector(ugrid,vgrid,newlons,latitudes,51,51,returnxy=True,masked=True)
# plot wind vectors over map.
Q = m.quiver(xx,yy,urot,vrot,scale=500)
# make quiver key.
qk = p.quiverkey(Q, 0.1, 0.1, 20, '20 m/s', labelpos='W')
# draw coastlines, parallels, meridians, title.
m.drawcoastlines(linewidth=1.5)
m.drawparallels(parallels)
m.drawmeridians(meridians)
p.title('SLP and Wind Vectors '+date)
if nt == 0: # plot colorbar on a separate axes (only for first frame)
cax = p.axes([l+w-0.05, b, 0.03, h]) # setup colorbar axes
fig.colorbar(CS,drawedges=True, cax=cax) # draw colorbar
cax.text(0.0,-0.05,'mb')
p.axes(ax) # reset current axes
p.draw() # draw the plot
# save first and last frame n1 times
# (so gif animation pauses at beginning and end)示例4: min
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import quiver [as 别名]
pdat, xp, yp = m.transform_scalar(p,lons,lats,nxp,nyp,returnxy=True)
print min(ravel(udat)),max(ravel(udat))
print min(ravel(vdat)),max(ravel(vdat))
print min(ravel(pdat)),max(ravel(pdat))
spd = sqrt(udat**2+vdat**2)
print max(ravel(spd))
# setup figure with same aspect ratio as map.
xsize = rcParams['figure.figsize'][0]
fig=figure(figsize=(xsize,m.aspect*xsize))
ax = fig.add_axes([0.1,0.1,0.7,0.7])
# plot filled contours over map
levels, colls = m.contourf(xp,yp,pdat,15,cmap=cm.jet,colors=None)
# plot wind vectors over map.
m.quiver(xv,yv,udat,vdat)
cax = axes([0.875, 0.1, 0.05, 0.7]) # setup colorbar axes.
colorbar(tickfmt='%d', cax=cax) # draw colorbar
axes(ax) # make the original axes current again
m.drawcoastlines()
m.drawcountries()
# draw parallels
delat = 20.
circles = arange(0.,90.+delat,delat).tolist()+\
arange(-delat,-90.-delat,-delat).tolist()
m.drawparallels(circles,labels=[1,1,1,1])
# draw meridians
delon = 45.
meridians = arange(-180,180,delon)
m.drawmeridians(meridians,labels=[1,1,1,1])
ax.set_xticks([]) # no ticks