In [ ]:
with open('sol_heating_Pseudotsuga_menziesii.dat', 'r') as f:
run_time = f.readlines()[-2]
In [ ]:
run_time.split()
In [ ]:
from scipy.integrate import odeint
import numpy as np
In [ ]:
def df(y,t):
y1, y2 = y
dydt = [y1-2, y2-1]
return dydt
In [ ]:
f0 = [1, 0]
t0 = 0
t_max = 5
nout = 100
ts = np.linspace(t0,t_max,nout)
In [ ]:
ts
In [ ]:
f = odeint(df, f0, ts)
In [ ]:
f[1]
In [ ]:
In [ ]:
f[1][0] = 0
In [ ]:
f[1]
In [ ]:
len(ts)
In [ ]:
i = 0
f0 = [1, 0]
t0 = 0
t_max = 5
nout = 100
ts = np.linspace(t0,t_max,nout)
while i < (len(ts)-1):
f = odeint(df, f0, [ts[i], ts[i+1]])
f[1] = f[1].clip(min=0)
"""
for index, y in enumerate(f[1]):
if y < 0:
f[1][index] = 0
"""
f0 = f[1]
print(f[1])
i += 1
In [ ]:
ts[98], ts[99]
In [ ]:
f0 = [1, 0]
f = odeint(df, f0, [ts[0], ts[1]])
In [ ]:
f
In [ ]:
with open('try.dat', 'a') as f:
f.write('1')
In [10]:
import numpy as np
import pandas as pd
In [33]:
data = pd.read_csv('#sol_heating_Pseudotsuga_menziesii.dat', delimiter='\t', names = header)
In [34]:
data
Out[34]:
time
T
0
1
2
3
4
5
6
7
...
83
84
85
86
87
88
89
90
91
92
0
0.000000
298.150000
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
...
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
0.000000e+00
1
0.020003
298.204008
7.921969e-59
2.526721e-50
1.051555e-31
5.558330e-66
6.157948e-103
3.905837e-59
1.146749e-93
3.785486e-110
...
1.106262e-70
1.910130e-61
2.207445e-79
2.044682e-77
6.397072e-103
7.879614e-85
1.580981e-58
1.079903e-75
4.318571e-84
3.267142e-67
2
0.040006
298.258016
3.799859e-57
1.202264e-48
7.200593e-31
4.948206e-65
-4.674326e-98
-1.823182e-56
2.686265e-82
1.394464e-104
...
5.913253e-68
1.010281e-58
1.200036e-76
1.539153e-74
2.045907e-100
1.939983e-79
7.575507e-57
2.053426e-71
1.305297e-79
1.750836e-64
3
0.060009
298.312024
2.058328e-56
6.504191e-48
2.151387e-30
1.691376e-64
-3.000210e-97
-1.177768e-55
1.723858e-81
8.944445e-104
...
3.663033e-67
6.256224e-58
7.437689e-76
8.529978e-74
7.869524e-100
1.239335e-78
4.102839e-56
1.310582e-70
8.197752e-79
1.084664e-63
4
0.080012
298.366032
4.639413e-56
1.465889e-47
4.332658e-30
3.548635e-64
-6.814400e-97
-2.676480e-55
3.915449e-81
2.031944e-103
...
8.329806e-67
1.422681e-57
1.691343e-75
1.929665e-73
1.744379e-99
2.819375e-78
9.247568e-56
2.979284e-70
1.868324e-78
2.466550e-63
5
0.100015
298.420040
1.082932e-55
3.415231e-47
7.504963e-30
7.212271e-64
-2.241554e-96
-4.370673e-55
2.575637e-81
8.870534e-103
...
2.253762e-66
3.842233e-57
4.593190e-75
4.622771e-73
3.093103e-99
8.346972e-78
2.157431e-55
9.164584e-70
5.169432e-78
6.680280e-63
6
0.120018
298.474048
2.013141e-55
6.342705e-47
1.162405e-29
1.247202e-63
-4.787556e-96
-6.316833e-55
-1.512325e-81
2.043410e-102
...
4.482815e-66
7.636510e-57
9.150074e-75
8.704953e-73
4.830146e-99
1.719577e-77
4.009520e-55
1.914097e-69
1.037563e-77
1.329281e-62
7
0.140021
298.528056
3.450268e-55
1.085711e-46
1.674145e-29
2.004289e-63
-9.148472e-96
-8.183452e-55
-4.972913e-81
5.282104e-102
...
8.317831e-66
1.415203e-56
1.702660e-74
1.543180e-72
6.962835e-99
3.363414e-77
6.869881e-55
3.810107e-69
1.976528e-77
2.468565e-62
8
0.160024
298.582064
5.688778e-55
1.787546e-46
2.295891e-29
3.102316e-63
-1.655805e-95
-9.493210e-55
-4.002298e-81
1.278364e-101
...
1.491506e-65
2.534185e-56
3.063166e-74
2.662160e-72
9.503066e-99
6.372938e-77
1.132370e-54
7.339760e-69
3.658716e-77
4.430899e-62
9
0.180027
298.636072
1.585112e-54
4.788968e-46
3.044751e-29
9.361643e-63
-2.206435e-94
-1.141514e-54
1.204052e-76
3.849365e-98
...
1.803344e-64
2.827619e-55
4.184347e-73
1.757259e-71
1.065958e-98
6.863220e-75
3.151431e-54
6.781185e-67
1.464011e-75
5.422673e-61
10
0.200029
298.690080
1.779705e-53
5.161144e-45
4.377636e-29
1.172132e-61
-4.457658e-93
-3.142963e-54
2.737786e-75
8.747728e-97
...
3.598421e-63
5.577108e-54
8.481480e-72
3.118107e-70
-2.478403e-98
1.538473e-73
3.534597e-53
1.516262e-65
3.203573e-74
1.083787e-59
11
0.220032
298.744088
3.533176e-53
1.022625e-44
5.854459e-29
2.337770e-61
-9.032614e-93
-5.269998e-54
5.563090e-75
1.777487e-96
...
7.289257e-63
1.129410e-53
1.718758e-71
6.296184e-70
-6.290817e-98
3.125137e-73
7.016741e-53
3.079847e-65
6.503932e-74
2.195498e-59
12
0.240035
298.798096
5.418923e-53
1.567421e-44
7.475222e-29
3.590531e-61
-1.394551e-92
-7.522621e-54
8.596316e-75
2.746635e-96
...
1.125284e-62
1.743373e-53
2.653672e-71
9.709956e-70
-1.037128e-97
4.828623e-73
1.076158e-52
4.758567e-65
1.004748e-73
3.389360e-59
13
0.260038
298.852103
7.436948e-53
2.150503e-44
9.239923e-29
4.930415e-61
-1.919635e-92
-9.900830e-54
1.183746e-74
3.782218e-96
...
1.548918e-62
2.399600e-53
3.652892e-71
1.335942e-69
-1.471980e-97
6.648932e-73
1.476910e-52
6.552423e-65
1.383421e-73
4.665373e-59
14
0.280041
298.906111
9.587249e-53
2.771870e-44
1.114856e-28
6.357421e-61
-2.478513e-92
-1.240463e-53
1.528654e-74
4.884236e-96
...
1.999826e-62
3.098091e-53
4.716417e-71
1.724459e-69
-1.933637e-97
8.586063e-73
1.903932e-52
8.461414e-65
1.786413e-73
6.023537e-59
15
0.300044
298.960119
1.186983e-52
3.431523e-44
1.320114e-28
7.871550e-61
-3.071186e-92
-1.503401e-53
1.894353e-74
6.052689e-96
...
2.478010e-62
3.838847e-53
5.844247e-71
2.136544e-69
-2.422100e-97
1.064002e-72
2.357223e-52
1.048554e-64
2.213723e-73
7.463852e-59
16
0.320047
299.014127
1.428468e-52
4.129462e-44
1.539766e-28
9.472802e-61
-3.697652e-92
-1.778898e-53
2.280845e-74
7.287576e-96
...
2.983468e-62
4.621867e-53
7.036382e-71
2.572200e-69
-2.937368e-97
1.281079e-72
2.836783e-52
1.262480e-64
2.665352e-73
8.986317e-59
17
0.340050
299.068135
1.683182e-52
4.865687e-44
1.773811e-28
1.116118e-60
-4.357913e-92
-2.066954e-53
2.688129e-74
8.588898e-96
...
3.516202e-62
5.447151e-53
8.292823e-71
3.031425e-69
-3.479441e-97
1.509839e-72
3.342612e-52
1.487920e-64
3.141300e-73
1.059093e-58
18
0.360053
299.122143
1.951123e-52
5.640197e-44
2.022251e-28
1.293667e-60
-5.051967e-92
-2.367568e-53
3.116205e-74
9.956654e-96
...
4.076210e-62
6.314700e-53
9.613568e-71
3.514219e-69
-4.048319e-97
1.750282e-72
3.874710e-52
1.724873e-64
3.641567e-73
1.227770e-58
19
0.380056
299.176151
2.232291e-52
6.452993e-44
2.285084e-28
1.479929e-60
-5.779816e-92
-2.680742e-53
3.565073e-74
1.139085e-95
...
4.663493e-62
7.224512e-53
1.099862e-70
4.020583e-69
-4.644002e-97
2.002406e-72
4.433077e-52
1.973340e-64
4.166152e-73
1.404662e-58
20
0.400059
299.230159
2.526688e-52
7.304075e-44
2.562311e-28
1.674903e-60
-6.541460e-92
-3.006473e-53
4.034734e-74
1.289147e-95
...
5.278051e-62
8.176589e-53
1.244797e-70
4.550516e-69
-5.266491e-97
2.266213e-72
5.017713e-52
2.233320e-64
4.715055e-73
1.589769e-58
21
0.420062
299.284167
2.834312e-52
8.193442e-44
2.853933e-28
1.878590e-60
-7.336897e-92
-3.344764e-53
4.525187e-74
1.445853e-95
...
5.919885e-62
9.170930e-53
1.396163e-70
5.104019e-69
-5.915785e-97
2.541702e-72
5.628619e-52
2.504814e-64
5.288278e-73
1.783091e-58
22
0.440065
299.338175
3.155163e-52
9.121095e-44
3.159948e-28
2.090989e-60
-8.166128e-92
-3.695613e-53
5.036432e-74
1.609203e-95
...
6.588993e-62
1.020754e-52
1.553960e-70
5.681092e-69
-6.591885e-97
2.828873e-72
6.265793e-52
2.787821e-64
5.885819e-73
1.984628e-58
23
0.460068
299.392183
3.489243e-52
1.008703e-43
3.480356e-28
2.312100e-60
-9.029154e-92
-4.059021e-53
5.568470e-74
1.779196e-95
...
7.285376e-62
1.128641e-52
1.718187e-70
6.281734e-69
-7.294790e-97
3.127727e-72
6.929237e-52
3.082342e-64
6.507679e-73
2.194380e-58
24
0.480071
299.446191
3.836550e-52
1.109126e-43
3.815159e-28
2.541923e-60
-9.925974e-92
-4.434988e-53
6.121299e-74
1.955832e-95
...
8.009034e-62
1.240754e-52
1.888845e-70
6.905945e-69
-8.024499e-97
3.438262e-72
7.618950e-52
3.388377e-64
7.153857e-73
2.412347e-58
25
0.500074
299.500199
4.197085e-52
1.213377e-43
4.164356e-28
2.780458e-60
-1.085659e-91
-4.823514e-53
6.694921e-74
2.139112e-95
...
8.759967e-62
1.357094e-52
2.065933e-70
7.553726e-69
-8.781015e-97
3.760480e-72
8.334931e-52
3.705925e-64
7.824354e-73
2.638529e-58
26
0.520077
299.554207
4.570847e-52
1.321456e-43
4.527946e-28
3.027706e-60
-1.182100e-91
-5.224598e-53
7.289336e-74
2.329035e-95
...
9.538175e-62
1.477660e-52
2.249451e-70
8.225077e-69
-9.564335e-97
4.094381e-72
9.077182e-52
4.034986e-64
8.519170e-73
2.872927e-58
27
0.540080
299.608215
4.957837e-52
1.433365e-43
4.905930e-28
3.283666e-60
-1.281920e-91
-5.638241e-53
7.904542e-74
2.525602e-95
...
1.034366e-61
1.602453e-52
2.439401e-70
8.919997e-69
-1.037446e-96
4.439963e-72
9.845702e-52
4.375561e-64
9.238304e-73
3.115539e-58
28
0.560083
299.662223
5.358055e-52
1.549101e-43
5.298309e-28
3.548339e-60
-1.385119e-91
-6.064442e-53
8.540541e-74
2.728813e-95
...
1.117642e-61
1.731472e-52
2.635780e-70
9.638487e-69
-1.121139e-96
4.797228e-72
1.064049e-51
4.727650e-64
9.981757e-73
3.366367e-58
29
0.580085
299.716231
5.771501e-52
1.668667e-43
5.705081e-28
3.821723e-60
-1.491699e-91
-6.503202e-53
9.197332e-74
2.938666e-95
...
1.203645e-61
1.864717e-52
2.838590e-70
1.038055e-68
-1.207513e-96
5.166175e-72
1.146155e-51
5.091252e-64
1.074953e-72
3.625409e-58
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
8767
175.365843
771.637777
1.211105e-15
-8.980104e-116
2.227555e-01
4.540390e-04
3.232385e-03
2.234542e-02
1.853604e-02
2.212207e-03
...
1.205707e-05
4.307680e-04
5.936508e-04
3.505400e-03
2.002563e-02
1.724200e-01
3.395073e-05
5.069119e-03
8.921375e-02
3.030004e-02
8768
175.385846
771.691785
1.200925e-15
5.108670e-116
2.227555e-01
4.530654e-04
3.204198e-03
2.223993e-02
1.853670e-02
2.212208e-03
...
1.205707e-05
4.307680e-04
5.942991e-04
3.505400e-03
2.004959e-02
1.724510e-01
3.395073e-05
5.072930e-03
8.929273e-02
3.031020e-02
8769
175.405849
771.745793
1.190798e-15
1.698780e-115
2.227555e-01
4.520900e-04
3.176197e-03
2.213472e-02
1.853735e-02
2.212209e-03
...
1.205707e-05
4.307680e-04
5.949478e-04
3.505400e-03
2.007358e-02
1.724820e-01
3.395073e-05
5.076742e-03
8.937165e-02
3.032037e-02
8770
175.425852
771.799801
1.180726e-15
2.351766e-115
2.227555e-01
4.511128e-04
3.148381e-03
2.202979e-02
1.853799e-02
2.212210e-03
...
1.205707e-05
4.307680e-04
5.955971e-04
3.505400e-03
2.009758e-02
1.725129e-01
3.395073e-05
5.080556e-03
8.945049e-02
3.033053e-02
8771
175.445855
771.853809
1.170707e-15
2.072443e-115
2.227555e-01
4.501336e-04
3.120749e-03
2.192515e-02
1.853864e-02
2.212211e-03
...
1.205707e-05
4.307680e-04
5.962469e-04
3.505400e-03
2.012160e-02
1.725439e-01
3.395073e-05
5.084371e-03
8.952926e-02
3.034069e-02
8772
175.465858
771.907817
1.160743e-15
1.007109e-115
2.227555e-01
4.491527e-04
3.093301e-03
2.182079e-02
1.853928e-02
2.212212e-03
...
1.205707e-05
4.307680e-04
5.968972e-04
3.505400e-03
2.014563e-02
1.725747e-01
3.395073e-05
5.088187e-03
8.960797e-02
3.035085e-02
8773
175.485861
771.961825
1.150833e-15
2.035972e-115
2.227555e-01
4.481699e-04
3.066035e-03
2.171672e-02
1.853991e-02
2.212213e-03
...
1.205707e-05
4.307680e-04
5.975481e-04
3.505400e-03
2.016969e-02
1.726056e-01
3.395073e-05
5.092005e-03
8.968660e-02
3.036100e-02
8774
175.505864
772.015833
1.140977e-15
3.346260e-115
2.227555e-01
4.471854e-04
3.038952e-03
2.161293e-02
1.854054e-02
2.212214e-03
...
1.205707e-05
4.307680e-04
5.981995e-04
3.505400e-03
2.019377e-02
1.726364e-01
3.395073e-05
5.095824e-03
8.976516e-02
3.037115e-02
8775
175.525867
772.069841
1.131175e-15
5.045549e-115
2.227555e-01
4.461990e-04
3.012050e-03
2.150943e-02
1.854117e-02
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8796
180.782019
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
...
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
NaN
8797 rows × 95 columns
In [53]:
sum(-(1e-10) < n < 0 for n in data.values.flatten())
Out[53]:
36251
In [25]:
a = ['a', 'b', [i for i in range(10)]]
In [26]:
36251
Out[26]:
['a', 'b', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
In [28]:
a
Out[28]:
['a', 'b', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
In [30]:
a += [i for i in range(5)]
In [31]:
a
Out[31]:
['a', 'b', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 0, 1, 2, 3, 4]
In [32]:
header = ['time', 'T']
header += [i for i in range(93)]
In [46]:
1e-50
Out[46]:
1e-50
In [ ]:
Content source: LigninTools/Ligpy-Cantera
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