Matplotlib在3D曲面中绘制非均匀数据 [英] Matplotlib plotting non uniform data in 3D surface
问题描述
我有一个简单的代码来绘制Matplotlib的3D点，如下所示-
I have a simple code to plot the points in 3D for Matplotlib as below -
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
from numpy import genfromtxt
import csv
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
my_data = genfromtxt('points1.csv', delimiter=',')
points1X = my_data[:,0]
points1Y = my_data[:,1]
points1Z = my_data[:,2]
## I remove the header of the CSV File.
points1X = np.delete(points1X, 0)
points1Y = np.delete(points1Y, 0)
points1Z = np.delete(points1Z, 0)
# Convert the array to 1D array
points1X = np.reshape(points1X,points1X.size)
points1Y = np.reshape(points1Y,points1Y.size)
points1Z = np.reshape(points1Z,points1Z.size)
my_data = genfromtxt('points2.csv', delimiter=',')
points2X = my_data[:,0]
points2Y = my_data[:,1]
points2Z = my_data[:,2]
## I remove the header of the CSV File.
points2X = np.delete(points2X, 0)
points2Y = np.delete(points2Y, 0)
points2Z = np.delete(points2Z, 0)
# Convert the array to 1D array
points2X = np.reshape(points2X,points2X.size)
points2Y = np.reshape(points2Y,points2Y.size)
points2Z = np.reshape(points2Z,points2Z.size)
ax.plot(points1X, points1Y, points1Z, 'd', markersize=8, markerfacecolor='red', label='points1')
ax.plot(points2X, points2Y, points2Z, 'd', markersize=8, markerfacecolor='blue', label='points2')
plt.show()
我的问题是我试图从我拥有的这些数据点中绘制出一个体面的图形.我已经尝试使用ax.plot_surface()函数使它看起来不错.为此，我消除了一些要点，并重新计算了此功能所需的矩阵输入类型.
但是，我生成的图形更加难以解释和理解.因此，可能有两种可能性:我未正确使用该函数，否则，我尝试绘制的数据对表面图不利.
My problem is that I tried to make a decent surface plot out of these data points that I have. I already tried to use ax.plot_surface() function to make it look nice. For this I eliminated some points, and recalculated the matrix kind of input needed by this function.
However, the graph I generated was far more difficult to interpret and understand. So there might be 2 possibilities: either I am not using the function correctly, or otherwise, the data I am trying to plot is not good for the surface plot.
我期望的是3D图形，其效果将类似于3D饼图.我们看到一块(被提取出来的)是另一块的一部分.我没想到它会完全一样，但是会产生某种效果.
What I was expecting was 3D graph which would have an effect similar to that we have of 3D pie chart. We see that one piece (that which is extracted out) is part of another piece. I was not expecting it to be exactly same like that, but some kind of effect like that.
我想问的是:
- 您认为可以制作这样的3D图形吗?
- 还有什么更好的方法，我可以用3维来表达我的数据吗?
这是2个文件-
points1.csv
points1.csv
Dim1,Dim2,Dim3
3,8,1
3,8,2
3,8,3
3,8,4
3,8,5
3,9,1
3,9,2
3,9,3
3,9,4
3,9,5
3,10,1
3,10,2
3,10,3
3,10,4
3,10,5
3,11,1
3,11,2
3,11,3
3,11,4
3,11,5
3,12,1
3,12,2
3,13,1
3,13,2
3,14,1
3,14,2
3,15,1
3,15,2
3,16,1
3,16,2
3,17,1
3,17,2
3,18,1
3,18,2
4,8,1
4,8,2
4,8,3
4,8,4
4,8,5
4,9,1
4,9,2
4,9,3
4,9,4
4,9,5
4,10,1
4,10,2
4,10,3
4,10,4
4,10,5
4,11,1
4,11,2
4,11,3
4,11,4
4,11,5
4,12,1
4,13,1
4,14,1
4,15,1
4,16,1
4,17,1
4,18,1
5,8,1
5,8,2
5,8,3
5,8,4
5,8,5
5,9,1
5,9,2
5,9,3
5,9,4
5,9,5
5,10,1
5,10,2
5,10,3
5,10,4
5,10,5
5,11,1
5,11,2
5,11,3
5,11,4
5,11,5
5,12,1
5,13,1
5,14,1
5,15,1
5,16,1
5,17,1
5,18,1
6,8,1
6,8,2
6,8,3
6,8,4
6,8,5
6,9,1
6,9,2
6,9,3
6,9,4
6,9,5
6,10,1
6,11,1
6,12,1
6,13,1
6,14,1
6,15,1
6,16,1
6,17,1
6,18,1
7,8,1
7,8,2
7,8,3
7,8,4
7,8,5
7,9,1
7,9,2
7,9,3
7,9,4
7,9,5
和points2.csv
and points2.csv
Dim1,Dim2,Dim3
3,12,3
3,12,4
3,12,5
3,13,3
3,13,4
3,13,5
3,14,3
3,14,4
3,14,5
3,15,3
3,15,4
3,15,5
3,16,3
3,16,4
3,16,5
3,17,3
3,17,4
3,17,5
3,18,3
3,18,4
3,18,5
4,12,2
4,12,3
4,12,4
4,12,5
4,13,2
4,13,3
4,13,4
4,13,5
4,14,2
4,14,3
4,14,4
4,14,5
4,15,2
4,15,3
4,15,4
4,15,5
4,16,2
4,16,3
4,16,4
4,16,5
4,17,2
4,17,3
4,17,4
4,17,5
4,18,2
4,18,3
4,18,4
4,18,5
5,12,2
5,12,3
5,12,4
5,12,5
5,13,2
5,13,3
5,13,4
5,13,5
5,14,2
5,14,3
5,14,4
5,14,5
5,15,2
5,15,3
5,15,4
5,15,5
5,16,2
5,16,3
5,16,4
5,16,5
5,17,2
5,17,3
5,17,4
5,17,5
5,18,2
5,18,3
5,18,4
5,18,5
6,10,2
6,10,3
6,10,4
6,10,5
6,11,2
6,11,3
6,11,4
6,11,5
6,12,2
6,12,3
6,12,4
6,12,5
6,13,2
6,13,3
6,13,4
6,13,5
6,14,2
6,14,3
6,14,4
6,14,5
6,15,2
6,15,3
6,15,4
6,15,5
6,16,2
6,16,3
6,16,4
6,16,5
6,17,2
6,17,3
6,17,4
6,17,5
6,18,2
6,18,3
6,18,4
6,18,5
7,10,1
7,10,2
7,10,3
7,10,4
7,10,5
7,11,1
7,11,2
7,11,3
7,11,4
7,11,5
7,12,1
7,12,2
7,12,3
7,12,4
7,12,5
7,13,1
7,13,2
7,13,3
7,13,4
7,13,5
7,14,1
7,14,2
7,14,3
7,14,4
7,14,5
7,15,1
7,15,2
7,15,3
7,15,4
7,15,5
7,16,1
7,16,2
7,16,3
7,16,4
7,16,5
7,17,1
7,17,2
7,17,3
7,17,4
7,17,5
7,18,1
7,18,2
7,18,3
7,18,4
7,18,5
推荐答案
除了需要对数据进行网格化之外，我看不到问题出在哪里.
这是来自points1.csv的数据的样子:
I don't see where is your problem, besides that you need to grid your data.
Here is how your data from points1.csv looks like:
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from scipy.interpolate import griddata
fig = plt.figure(figsize=plt.figaspect(0.5))
ax = fig.add_subplot(1, 2, 1, projection='3d')
# note this: you can skip rows!
my_data = np.genfromtxt('file1.csv', delimiter=',',skiprows=1)
X = my_data[:,0]
Y = my_data[:,1]
Z = my_data[:,2]
xi = np.linspace(X.min(),X.max(),100)
yi = np.linspace(Y.min(),Y.max(),100)
# VERY IMPORTANT, to tell matplotlib how is your data organized
zi = griddata((X, Y), Z, (xi[None,:], yi[:,None]), method='cubic')
CS = plt.contour(xi,yi,zi,15,linewidths=0.5,color='k')
ax = fig.add_subplot(1, 2, 2, projection='3d')
xig, yig = np.meshgrid(xi, yi)
surf = ax.plot_surface(xig, yig, zi,
linewidth=0)
plt.show()
我希望这有帮助.
I hope this helps.
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