我对 Python 完全陌生,我完全迷路了。我的主管帮助我生成了一个脚本来查看 3D 速度模型的一些切片:
import numpy as np
import matplotlib.pyplot as plt
import yt
from yt.units import km
#Import et reshape data
d = np.genfromtxt('velocity_model.txt', delimiter=' ')
nd=22
nx=131
vel = d[:,3].reshape(nd,nx,nx)
lat = d[:,0].reshape(nd,nx,nx)
lon = d[:,1].reshape(nd,nx,nx)
dep = d[:,2].reshape(nd,nx,nx)
# When this is read into YT, depth increases along x axis, longitude increases along y axis and latitude increases along z axis, need to swap x and z and then flip z
dep=dep.swapaxes(0,2) # swap first and third dimensions: gives lon (x), lat (y), depth (z)
vel=vel.swapaxes(0,2) # swap first and third dimensions:
lat=lat.swapaxes(0,2) # swap first and third dimensions:
lon=lon.swapaxes(0,2) # swap first and third dimensions:
dep=dep[:,:,::-1] # reverse z direction
vel=vel[:,:,::-1] # swap first and 2nd dimensions:
lat=lat[:,:,::-1] # swap first and 2nd dimensions:
lon=lon[:,:,::-1] # swap first and 2nd dimensions:
xmin=0
xmax=289
ymin=0
ymax=289
zmin=-100
zmax=5
#Entrer dans YT
data=dict(velocity=(vel,'km/s'),latitude=(lat,'deg'),longitude=(lon,'deg'),depth=(dep,'km'))
bbox = np.array([[xmin,xmax], [ymin,ymax], [zmin,zmax]])
ds=yt.load_uniform_grid(data,vel.shape, length_unit='km', bbox=bbox)
#Off-Axis Slice
for key in ['latitude','longitude','depth','velocity'] :
L = [0,0,1] # cutting plane=z
slicepos=-50
c = [(xmax-xmin)/2, (ymax-ymin)/2, slicepos]
cut = yt.SlicePlot(ds, L, key,origin='native',center=c) #, width=(200,90,'km'))
cut.set_log(key, False)
cut.annotate_text([0.5,0.9],'z={:d} km'.format(slicepos),coord_system='axis')
cut.set_cmap(field='velocity',cmap='jet_r')
cut.save()
使用这个脚本,我想修复颜色条,因为对于每个图像,这一个都会发生变化,而且这样解释并不容易。
我试图添加这样的限制:
h=colorbar
h.Limits = [5 9]
cut.set_cmap(field='velocity',cmap='jet_r', h)
但这不是好方法。有人有想法吗?我看到了很多东西,但没有看到 cmap。