这是我的数据：Lon Lat Z Z2 pos

32.6 -13.6 41 9 CHIP

27.1 -16.9 43 12 CHOM

32.7 -10.2 46 14 ISOK

24.2 -13.6 33 13 KABO

28.5 -14.4 43 11 KABW

28.1 -12.6 33 16 KAFI

27.9 -15.8 46 13 KAFU

24.8 -14.8 44 9 KAOM

31.1 -10.2 35 14 KASA

25.9 -13.5 24 8 KASE

29.1 -9.8 10 13 KAWA

25.8 -17.8 39 11 LIVI

33.2 -12.3 44 8 LUND

28.3 -15.4 46 12 LUSA

27.6 -16.1 47 9 MAGO

28.9 -11.1 31 15 MANS

31.3 -8.9 39 9 MBAL

31.9 -13.3 45 9 MFUW

23.1 -15.3 31 9 MONG

31.4 -11.9 39 9 MPIK

27.1 -15.0 42 12 MUMB

24.4 -11.8 15 9 MWIN

28.6 -13.0 39 9 NDOL

31.3 -14.3 44 12 PETA

23.3 -16.1 39 5 SENA

30.2 -13.2 38 11 SERE

24.3 -17.5 32 10 SESH

26.4 -12.2 23 12 SOLW

23.1 -13.5 27 14 ZAMB

这是我试过的密码。给我的问题是数据网格化和轮廓化。下面的代码主要来自stackoverflow上的各个帖子，但是要找到任何能解决我特定问题的东西并不容易。#!/usr/bin/python

from mpl_toolkits.basemap import Basemap

import matplotlib.pyplot as plt

import numpy as np

from scipy.interpolate import griddata

#prepare a basemap

m = Basemap(projection = 'merc',llcrnrlon = 21, llcrnrlat = -18, urcrnrlon = 34, urcrnrlat = -8)

m.drawmapboundary(fill_color = 'white')

m.fillcontinents(color = '0.85')

# draw country outlines.

m.drawcountries(linewidth=0.5, linestyle='solid', color='k', antialiased=1, ax=None, zorder=None)

m.drawparallels(np.arange(-18, -8, 2.), color = '0.25', linewidth = 0.5)

m.drawparallels(parallels,labels=[True,False,False,False])

m.drawmeridians(np.arange(21,36, 2.), color = '0.25', linewidth = 0.5)

m.drawmeridians(meridians,labels=[False,False,False,True])

#plt.show() ##Code works up to here, drawing basemap

#######################################################

#prepare data for contouring

#declare empty arrays for xyz

xarray = []

yarray = []

zarray = []

#get data and pack in the arrays

with open("meansr.txt", "r") as f:

for line in f:

(x, y, z, z2, pos) = line.split()

xarray.append(x)

yarray.append(y)

zarray.append(z)

f.close()

#prepare and grid the data

extent = (min(xarray), max(xarray), min(yarray), max(yarray))

xs,ys = np.mgrid[extent[0]:extent[1]:30j, extent[2]:extent[3]:30j]

z = griddata((xarray, yarray), zarray, (xs, ys))

x,y = m(xarray,yarray)

#make contour plot

cs = m.contourf(x, y, z)

cs2 = m.contour(x,y,z, levels = range(10,50,5),colors = 'blue')

plt.clabel(cs, fmt = '%.0f', inline = True)

plt.show()

这是我在轮廓部分得到的错误：Traceback (most recent call last):

File "./contour12.py", line 44, in

xs,ys = np.mgrid[extent[0]:extent[1]:29j, extent[2]:extent[3]:29j]

File "/home/zmumba/anaconda/lib/python2.7/site-packages/numpy/lib/index_tricks.py", line 185, in __getitem__

step = key.step

AttributeError: 'tuple' object has no attribute 'step'

我不知道30j在上面的代码中应该做什么，尽管我的数据有29点