本文整理汇总了Python中mpl_toolkits.basemap.Basemap.show方法的典型用法代码示例。如果您正苦于以下问题：Python Basemap.show方法的具体用法？Python Basemap.show怎么用？Python Basemap.show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mpl_toolkits.basemap.Basemap的用法示例。
在下文中一共展示了Basemap.show方法的3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: __init__
# 需要导入模块: from mpl_toolkits.basemap import Basemap [as 别名]
# 或者: from mpl_toolkits.basemap.Basemap import show [as 别名]
class MapDrawer:
mymap = None;
projection = 'hammer';
def __init__(self, projection = 'hammer', lon_0 = 0, resolution = 'c'):
self.mymap = Basemap(projection, lon_0, resolution);
self.mymap.bluemarble()
def show_map(self):
self.mymap.show();
def draw_markers(self, lats, longs, title = '', clever_mode = 0):
# draw parallels and meridians.
lats = np.array(lats)
longs = np.array(longs)
if clever_mode:
print "Clever mode is under construction"
xpt,ypt = self.mymap(longs,lats)
print xpt;
self.mymap.plot(xpt, ypt, 'ro')
if title:
plt.title('Tweets about ' + title)
plt.show()
#mymap = Basemap(projection = 'hammer', lon_0 = 0, resolution = 'c');
#xpt,ypt = mymap(longs,lats)
#mymap.plot(xpt, ypt, 'ro')示例2: basemapPGAPlot
# 需要导入模块: from mpl_toolkits.basemap import Basemap [as 别名]
# 或者: from mpl_toolkits.basemap.Basemap import show [as 别名]
def basemapPGAPlot(lons, lats, pga):
lonmesh, latmesh = np.meshgrid(lons, lats)
pga = np.array(pga)
pga = pga.reshape((len(lons), len(lats)))
plt.close()
m = Basemap(projection='cyl', llcrnrlat=lats.min(), urcrnrlat=lats.max(), llcrnrlon=lons.min(), urcrnrlon=lons.max(), resolution='i')
m.drawcoastlines()
#m.drawmapboundary(fill_color='PaleTurquoise')
#m.fillcontinents(color='lemonchiffon',lake_color='PaleTurquoise', zorder=0)
m.drawmapboundary()#fill_color='lightgray')
#m.fillcontinents(color='darkgray',lake_color='lightgray', zorder=0)
m.drawcountries()
m.drawparallels(np.arange(round(lats.min()),round(lats.max()),2), labels=[1,0,0,0])
m.drawmeridians(np.arange(round(lons.min()),round(lons.max()),2), labels=[0,0,0,1])
#m.contourf(lonmesh, latmesh, pga)
#m.plot(simx[::], simy[::], 'm.')
m.pcolormesh(lonmesh, latmesh, pga, vmin = 0, vmax = 20, cmap="jet")
cb = m.colorbar()
cb.set_label("Peak Ground Acceleration (% g)")
m.show()示例3: range
# 需要导入模块: from mpl_toolkits.basemap import Basemap [as 别名]
# 或者: from mpl_toolkits.basemap.Basemap import show [as 别名]
['NY',42.1497,-74.9384],
['OH',40.3736,-82.7755],
['OK',35.5376,-96.9247],
['OR',44.5672,-122.1269],
['PA',40.5773,-77.2640],
['RI',41.6772,-71.5101],
['SC',33.8191,-80.9066],
['SD',44.2853,-99.4632],
['TN',35.7449,-86.7489],
['TX',31.1060,-97.6475],
['UT',40.1135,-111.8535],
['VA',37.7680,-78.2057],
['VT',44.0407,-72.7093],
['WA',47.3917,-121.5708],
['WI',44.2563,-89.6385],
['WV',38.4680,-80.9696],
['WY',42.7475,-107.2085]]
for i in range(len(state2LatLong)):
# Get the x,y coordinate for the geoplot. Note: It's Long / Lat.
x, y = geoMap(state2LatLong[i][2],state2LatLong[i][1])
geoMap.plot(x,y,'ro')
geoMap.text(x+10000,y+10000,state2LatLong[i][0], bbox=dict(facecolor='yellow',alpha=0.5))
# Adjust size of image
geoMap.gcf().set_size_inches(12.0,8.0)
# Add Title and show.
geoMap.title("US Map with Labels")
geoMap.show()