本文整理汇总了Python中matplotlib.toolkits.basemap.Basemap.drawlsmask方法的典型用法代码示例。如果您正苦于以下问题:Python Basemap.drawlsmask方法的具体用法?Python Basemap.drawlsmask怎么用?Python Basemap.drawlsmask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.drawlsmask方法的2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: draw_client_density
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import drawlsmask [as 别名]
def draw_client_density():
m = Basemap(llcrnrlon=-180.,llcrnrlat=-90,urcrnrlon=180.,urcrnrlat=90.,\
resolution='c',projection='cyl')
# plot them as filled circles on the map.
# first, create a figure.
dpi=100
dimx=800/dpi
dimy=400/dpi
fig=figure(figsize=(dimx,dimy), dpi=dpi, frameon=False, facecolor='blue')
# ax=fig.add_axes([0.1,0.1,0.7,0.7],axisbg='g')
ax=fig.add_axes([0.0,0.0,1.0,1.0],axisbg='g')
canvas = FigureCanvas(fig)
results = lookup_client_locations()
X,Y,Z = find_client_density(m,results)
# s = random.sample(results, 40000)
# for t in s:
# lat=t[2]
# lon=t[3]
# # draw a red dot at the center.
# xpt, ypt = m(lon, lat)
# m.plot([xpt],[ypt],'ro', zorder=10)
# draw coasts and fill continents.
m.drawcoastlines(linewidth=0.5)
m.drawcountries(linewidth=0.5)
m.drawlsmask([100,100,100,0],[0,0,255,255])
# m.fillcontinents(color='green')
palette = cm.YlOrRd
m.imshow(Z,palette,extent=(m.xmin,m.xmax,m.ymin,m.ymax),interpolation='gaussian',zorder=0)
# l,b,w,h = ax.get_position()
# cax = axes([l+w+0.075, b, 0.05, h])
# colorbar(cax=cax) # draw colorbar
canvas.print_figure(outdir+'/clientmap.png', dpi=100)
示例2: Geostationary
# 需要导入模块: from matplotlib.toolkits.basemap import Basemap [as 别名]
# 或者: from matplotlib.toolkits.basemap.Basemap import drawlsmask [as 别名]
from matplotlib.toolkits.basemap import Basemap
from pylab import title, show, arange
# create Basemap instance for Geostationary (satellite view) projection.
lon_0 = float(raw_input('enter reference longitude (lon_0):'))
h = float(raw_input('enter satellite height above equator in meters (satellite_height):'))
m = Basemap(projection='geos',lon_0=lon_0,satellite_height=h,rsphere=(6378137.00,6356752.3142),)
# plot land-sea mask.
rgba_land = (0,255,0,255) # land green.
rgba_ocean = (0,0,255,255) # ocean blue.
# lakes=True means plot inland lakes with ocean color.
m.drawlsmask(rgba_land, rgba_ocean, lakes=True)
# draw parallels and meridians.
m.drawparallels(arange(-90.,120.,30.))
m.drawmeridians(arange(0.,420.,60.))
m.drawmapboundary()
title('Geostationary Map Centered on Lon=%s, Satellite Height=%s' % (lon_0,h))
show()