python-3.x - matplotlib 0.99 Mplot3d 属性错误 : 'list' object has no attribute 'ndim'

Question

我正在尝试在此处绘制像这样的 3d 图:

使用此代码并收到错误消息:

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？

Answer 1

错误信息

Z.ndim != 2: 
AttributeError: 'list' object has no attribute 'ndim'

表示列表 Z 没有属性 ndim。 ndim 是一个 attribute of NumPy arrays ， 然而。所以很有可能 将 Z 转换为 NumPy 数组将解决问题(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，但是如果你取消注释该行

Z = (np.sin((X**2 + Y**2)/4)).tolist()  

这使得 Z 成为列表的列表，然后您会收到错误消息

Z.ndim != 2: 
AttributeError: 'list' object has no attribute 'ndim'