matplotlib 0.99 Mplot3d AttributeError：'list‘对象没有属性'ndim’
matplotlib 0.99 Mplot3d AttributeError：'list‘对象没有属性'ndim’
提问于 2018-05-15 16:29:03
我试着在这里绘制一个像这样的3d图：
使用此代码并接收一个错误，该错误如下：
line 1621, in plot_surface
if Z.ndim != 2:
AttributeError: 'list' object has no attribute 'ndim'import cobra
import os
from os.path import join
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
data_dir ='/Users/stephenchapman/Documents/research/FBA_algae_digesate/COBRApy/iCZ843/iCZ843_models'
model = cobra.io.read_sbml_model(join(data_dir, "iCZ843_hetero.xml"))
model.reactions[15].upper_bound = -0 #ammonia
model.reactions[15].lower_bound = -98.3
model.reactions[27].upper_bound = -0 #acetate
model.reactions[27].lower_bound = -3.3
model.reactions[14].upper_bound = -0 #phosphate
model.reactions[14].lower_bound = -10
model.reactions[16].upper_bound = -0 #nitrate
model.reactions[16].lower_bound = -30.3
model.reactions[20].upper_bound = -0 #magnesium
model.reactions[20].lower_bound = -0.56
model.reactions[18].upper_bound = -0 #iron
model.reactions[18].lower_bound = -2.16
model.objective = model.reactions[63]
solution = model.optimize()
model.summary()
ac_uptake = []
NH4_uptake = []
growth_rate = []
for i in range(0,85,5):
model.reactions[27].lower_bound = -i #acetate uptake
model.reactions[27].upper_bound = -i
for j in (0,80,5):
model.reactions[15].lower_bound = -i #NH4 uptake
model.reactions[15].upper_bound = -i
print(solution.f)
growth_rate.append(solution.f)
ac_uptake.append(model.reactions[27].lower_bound)
NH4_uptake.append(model.reactions[15].lower_bound)
plot_ac_uptake = list(range(0,85,5))
plot_NH4_uptake = list(range(0,85,5))
X = (plot_ac_uptake)
Y = (plot_NH4_uptake)
X, Y = np.meshgrid(X, Y)
Z = (growth_rate)
fig = plt.figure()
ax = Axes3D(fig)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.viridis)
plt.show()有人能帮帮我吗？
回答 1
Stack Overflow用户
发布于 2018-05-15 17:01:08
错误信息
Z.ndim != 2:
AttributeError: 'list' object has no attribute 'ndim'表示列表Z没有属性ndim。然而，ndim是一个NumPy数组的属性。因此，将Z转换为NumPy数组很可能会解决这个问题(或者至少让您通过AttributeError)：
Z = np.array(Z)例如,
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
X = list(np.linspace(-4, 4, 100))
Y = list(np.linspace(-4, 4, 100))
X, Y = np.meshgrid(X, Y)
Z = np.sin((X**2 + Y**2)/4)
# Z = (np.sin((X**2 + Y**2)/4)).tolist()
fig = plt.figure()
ax = Axes3D(fig)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.viridis)
plt.show()工作正常，但如果取消注释行
Z = (np.sin((X**2 + Y**2)/4)).tolist() 这使Z成为一个列表列表，然后得到错误消息。
Z.ndim != 2:
AttributeError: 'list' object has no attribute 'ndim'页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/50355133
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