我需要将(来自卫星观测的)降雨汇总数据从grid2文件绘制到地图上。最后,我设法通过文本文件将数据加载到numpy数组中,并使用Basemap将其与图片坐标绑定。但问题是,Python并没有从数据中放置彩色点,而是倾向于在数据字段中的相邻点之间画线,所以绘图看起来很难看。
我看不出问题的根源。
我的代码片段如下:
import numpy as np
import matplotlib
matplotlib.use('Agg')
from scipy import *
from pylab import *
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import cm
之后,我读取了所需的数据,并生成了3个形状约为(100000,2)的numpy数组,其中分别包含纬度、经度、度数和每个数据点的值。我使用以下命令将其可视化:
def joonista(lats,lons,value,nimi,clevs,koloriit):
---------所描述的重塑的片段(未显示),生成数组“lats”、“lons”和“value”------------
map=Basemap(projection='aea',lat_1=30,lat_2=50,lat_0=45,lon_0=0,llcrnrlon=-30,llcrnrlat=20,urcrnrlon=80,urcrnrlat=53,resolution='l',)
x, y = map(lons, lats)
map.drawcoastlines(linewidth=0.17,color='0.7')
map.drawcountries(linewidth=0.17,color='0.7')
map.drawmeridians(np.arange(-50,60,5),linewidth=0.17,color='0.7',labels=[False,False,False,True])
map.drawparallels(np.arange(-25, 70, 5),linewidth=0.17,color='0.7',labels=[True,False,False,False])
varvid=mpl.colors.ListedColormap(koloriit)
norm = mpl.colors.BoundaryNorm(clevs,varvid.N)
cs = map.pcolormesh(x,y,value,cmap=varvid,norm=norm)
savefig(nimi,dpi=300)
plt.clf()
joonista(latA,lonA,valueA,'h05',[-1,0.00001,0.001,0.01,0.1,0.3,0.5,1,2,3,4,5,6,7,8,9,10,11,12,13],['k','c','#a0fff9','#00b354','#69b300','#97ff03','#C2524D','#FF7500','#b3a900','#fff551','#515bff','#45adff','#da000d','#ff2a36','#ffa0a5','#f003ff','#f778ff','0.5','0.75'])
joonista(latB,lonB,valueB,'h04',[-1,0.0000000000001,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18],['k','c','#a0fff9','#00b354','#69b300','#97ff03','#C2524D','#FF7500','#b3a900','#fff551','#515bff','#45adff','#da000d','#ff2a36','#ffa0a5','#f003ff','#f778ff','0.5','0.75'])
以下是一张示例图片:
如果有人告诉我如何解决这个问题,我将不胜感激。
阿列克谢
