python三维图如何标注曲面_如何在matplotlib中在三维曲面上绘制直线

我有一个三维绘图，想在绘图表面画几条线。我不清楚该如何组织这些线的数据，使之落到表面。在

以下代码的一些解释：我对描述Rubisco酶（光合作用中至关重要）活性的温度敏感参数进行了敏感性分析。活化能Ha是这个方程中唯一的参数。在

函数plot_TemperatureEffectOnRuBisCOKinetics绘制三维绘图。现在，我想在表面上看到函数TemperatureEffectOnRuBisCOKinetics中描述的4个参数中的每一个的行，每一行都被很好地标记。在

对于如何构造这些行的数据，我们将不胜感激！在import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d import Axes3D

import numpy as np

cRefTmp_C = 25. # [C]

cRefTmp_K = cRefTmp_C + 273.15 # [K]

MolarGasConstant = 8.314472 # [J mol-1 K-1]

def TemperatureEffectOnRuBisCOKinetics(Ha, LeafTemperature_C):

"""

multiplier for temperature effects on Kc, K0, Ri and GammaStar [ - ]

formula thesis Manfred Forstreuter p 66 (eq 2.41)

Parameter ParameterValue

cHaOfGammaStar 29000

cHaOfK0 35900

cHaOfKc 59500

cHaOfRi 46390

refs for equation:

Harley P.C., Thomas R.B., Reynolds J.F., Strain B.R., 1992.

Modelling photosynthesis of cotton grown in elevated CO2. Plant, Cell Environ. 15: 271-282.

Farquhar G.D., von Caemmerer S. & Berry J.A., 1980.

A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149: 78-90.

"""

LeafTemperature_K = LeafTemperature_C + 273.15 # from Celsius to Kelvin

return exp(Ha * (LeafTemperature_K - cRefTmp_K) / (MolarGasConstant * LeafTemperature_K * cRefTmp_K))

def plot_TemperatureEffectOnRuBisCOKinetics():

Ha = np.arange(25000., 60000., 1000.)

T = np.arange(0., 30., 1)

Ha,T = np.meshgrid(Ha,T)

TEff = TemperatureEffectOnRuBisCOKinetics(Ha, T)

fig = plt.figure()

fig = plt.figure(facecolor='White')

ax = fig.gca(projection='3d')

surf = ax.plot_surface(Ha,T,TEff, rstride=1, cstride=1, cmap=cm.coolwarm,

linewidth=0, antialiased=False)

ax.set_zlim(TEff.min() ,TEff.max())

ax.zaxis.set_major_locator(LinearLocator(10))

ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))

fig.colorbar(surf, shrink=0.5, aspect=5)

ax.set_title('Effect of temperature on Michaelis Menten-parameters n at different Ha values')

ax.set_xlabel('Activation energy, Ha (J mol-1)')

ax.set_ylabel('Leaf surface temperature (C)')

ax.set_zlabel('T-multiplier to reference value')

plt.show()

plot_TemperatureEffectOnRuBisCOKinetics()

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