如何将2d数据打印到3d中，使用python从文件中读取数据

Question

I would like to print my 2d data into 3d with python as the photo in image bellow. Currently I am reading my data from files where I have the x and y numbers on 2 columns. Any help will be apreciated. The code that prints my data in 2d looks like this:

 import numpy as np
 import pylab as pl
 import matplotlib as mpl

 data1 = np.loadtxt('NL_extb_1.xye')
 data2 = np.loadtxt('NL_extb_2.xye')
 data3 = np.loadtxt('NL_extb_3.xye')
 data4 = np.loadtxt('NL_extb_4.xye')
 data5 = np.loadtxt('NL_extb_5.xye')       

 pl.plot(data1[:,0], data1[:,1] , 'black') 
 pl.plot(data2[:,0], data2[:,1], 'black')  
 pl.plot(data3[:,0], data3[:,1] ,'black')
 pl.plot(data4[:,0], data4[:,1] ,'black')
 pl.plot(data5[:,0], data5[:,1] ,'black')


 pl.xlabel("2Theta")
 pl.ylabel("Counts")

 pl.show()

Answer 1

The plot in your image looks like made in mplot3d . There is an example how to do it in the tutorial :

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

X, Y, Z = axes3d.get_test_data(0.05)   #<-- REPLACE THIS LINE WITH YOUR DATA

ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
plt.show()

Setting rstride or cstride to 0 will get you the plot typy you want.

So now, the only thing you should do is to create the correct input variables X, Y, Z . I assume that all your datai have the same length, say N, and all x columns datai[:0] are identical . (If not, then more work is needed.) Then

X, Y = np.meshgrid(range(1,6), data1[:,0])     
# or maybe the other way:
# X, Y = np.meshgrid(data1[:,0], range(1,6)) 

and Z consists of all y columns from your data concatenated into an array of the same shape as X and Y (all of them should be N x 5 arrays or 5 x N arrays).