The import numpy as np The import pandas as pd The import matplotlib. Pyplot as PLT The from mpl_toolkits import mplot3d The import scipy. Interpolate the as IP The import matplotlib. Mlab as ml The from matplotlib. Colors import LightSource The from matplotlib import cm Path="E:/Model_building/A/" S1=pd. Read_excel (path + "sheet1. XLSX") X=np. Array (s1. Iloc [:, 2]) Y=np. Array (s1) iloc [:, 3]) Z=np. Array (s1. Iloc [:, 4]) Xx=np. Linspace (x.m in (), x.m ax ()) Yy=np. Linspace (y.m in (), y.m ax ()) X, Y=np. Meshgrid (xx, yy) Z=IP. Griddata ((x, y), Z (x, y), the method='cubic') Contr=PLT. Contour (X, Y, Z, 30) # contour map PLT. Figure () Ax=PLT. Axes (the projection='3 d') # 3 d topographic map Ax. Invert_xaxis () Ax. Plot_surface (X, Y, Z, rstride=1, cstride=1, cmap="viridis") PLT. The show () Could you tell me why topographic map, or a color from top to bottom,,, for advice
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The
refer to the original poster DongDu_rabbit response: The import numpy as np The import pandas as pd The import matplotlib. Pyplot as PLT The from mpl_toolkits import mplot3d The import scipy. Interpolate the as IP The import matplotlib. Mlab as ml The from matplotlib. Colors import LightSource The from matplotlib import cm Path="E:/Model_building/A/" S1=pd. Read_excel (path + "sheet1. XLSX") X=np. Array (s1. Iloc [:, 2]) Y=np. Array (s1) iloc [:, 3]) Z=np. Array (s1. Iloc [:, 4]) Xx=np. Linspace (x.m in (), x.m ax ()) Yy=np. Linspace (y.m in (), y.m ax ()) X, Y=np. Meshgrid (xx, yy) Z=IP. Griddata ((x, y), Z (x, y), the method='cubic') Contr=PLT. Contour (X, Y, Z, 30) # contour map PLT. Figure () Ax=PLT. Axes (the projection='3 d') # 3 d topographic map Ax. Invert_xaxis () Ax. Plot_surface (X, Y, Z, rstride=1, cstride=1, cmap="viridis") PLT. The show () Excuse me why topographic map, or a color, from top to bottom, and consult What did you do topographic map and 3 d, haven't map... CodePudding user response:
Is the building Lord this problem solved, please ~