iam-git / WellMet (public) (License: MIT) (since 2021-08-31) (hash sha1)
WellMet is pure Python framework for spatial structural reliability analysis. Or, more specifically, for "failure probability estimation and detection of failure surfaces by adaptive sequential decomposition of the design domain".
Clone URLs: https://rocketgit.com/user/iam-git/WellMet ssh://rocketgit@ssh.rocketgit.com/user/iam-git/WellMet git://git.rocketgit.com/user/iam-git/WellMet
release trunk
List of commits:
Subject Hash Author Date (UTC)
mart3d: new matplotlib-support module 8b6b13937a0694998e0b4de7b8a96d89abecc64a I am 2021-02-08 13:47:56
gmodels: increased no of discretization points in boundary for Pareto function 7f12597e2d15b2564d612a014fd75492663043dd Miroslav Vořechovský 2021-02-05 15:28:32
gmodels.py added boundary for Pareto function e7bc61e9c5854bc4cff0ee05b651b4b7ede4e0a1 Miroslav Vořechovský 2021-02-05 15:14:52
improved estimation of pf for Pareto Example 427602319f6a81e896b7aa50fd8947c5a1a91873 Miroslav Vořechovský 2021-02-05 14:15:41
dicebox.Razitko: little fixes 0e3f9147a40b7008ddec0893c3965136bac7fedf I am 2021-02-05 12:32:27
f_models.UnCorD.sample_pdf: Rn pdf fix 66cf81e4fc0bb2c6dab506cef5309c5da65a7f2c I am 2021-02-05 12:31:22
dicebox.Razitko: TRI_overall_estimations workaround 4b8146b788d0a857330c1894b5cf1c8d332103ce I am 2021-02-05 09:13:16
dicebox.Razitko: new DiceBox d9c1c9cdec94601bce9e81861ce1d4dfb5393481 I am 2021-02-05 08:04:28
simplex.Triangulation: little changes dc1efc3a081073d57be0f7a06330eb97f9634447 I am 2021-02-05 08:02:57
schemes: fix 126ba1c061474b3a9c02ce66d109ef6f8a39703a Alex 2021-02-03 08:28:28
schemes: new module af427a6a8c5e26f5b4a5930af188e40c882f9863 I am 2021-02-03 08:00:06
simplex: rework Triangulation, add FullCubatureTriangulation bdbb5a64a868cbf7c60d2bfeb8729e54bc81d347 I am 2021-02-03 05:14:32
dicebox: empty simplex fix 9b3b24a268a4d238ec6946f33d2c6ffe7d57dbfe Alex 2021-01-28 11:07:32
qt_plot.SimplexErrorGraph: finish 6fce1097d34c86c9b30c749e5b8cc2e4d8e7541d I am 2021-01-26 11:36:13
stm_df: finish get_tri_data_frame() 454bd2725a75f5a3f3851998693c4f85630fb30b I am 2021-01-22 20:43:36
stm_df: WIP bd99b8f3b8623a65c0bf0e3c22d9e67d8bce6a2c Alex 2021-01-21 15:27:11
stm_df: WIP f61a963c04764066bdd2bb9a363c51ec1c4fb389 Alex 2021-01-18 10:01:23
dicebox.Chrt: add design support 7426717fe5b3bbf299e44a92b2aca2672b752042 Alex 2021-01-15 09:30:28
design_proof_of_concept a1c9fc6ce6739e745382bdc1bfc6183a8c2a2f16 Alex 2021-01-14 22:58:01
estimation: rework simplex estimations, add cubature and design support 01dc64d5fa9afeda8326b90a71af71ede46fd8f8 Alex 2021-01-14 21:41:12
Commit 8b6b13937a0694998e0b4de7b8a96d89abecc64a - mart3d: new matplotlib-support module
Author: I am
Author date (UTC): 2021-02-08 13:47
Committer name: I am
Committer date (UTC): 2021-02-08 13:50
Parent(s): 7f12597e2d15b2564d612a014fd75492663043dd
Signer:
Signing key:
Signing status: N
Tree: 7f7510b446100c08b08ad16b69220014b6bb239b
File Lines added Lines deleted
mart3d.py 107 0
File mart3d.py added (mode: 100644) (index 0000000..f8020af)
1 #!/usr/bin/env python
2 # coding: utf-8
3
4
5 #č nazvy proměnných jsou v angličtině
6 #č Ale komenty teda ne)
7
8 import numpy as np
9 from matplotlib import colors
10 import matplotlib.tri as mtri
11
12 def get_g_model_wireframe_data(shape_share, limits, space='R', ngrid=50):
13 xmin, xmax, ymin, ymax = limits
14
15 # endpoint=True by default
16 # we'll get len(.) == ngrid
17 # ngrid 51 is an default maximum for MPL
18 # (otherwise MPL will downsample)
19 x = np.linspace(xmin, xmax, ngrid)
20 y = np.linspace(ymin, ymax, ngrid)
21 X, Y = np.meshgrid(x, y)
22 XY = np.vstack((X.flatten(), Y.flatten())).T
23
24 if space == 'R':
25 g_values = shape_share.gm(XY).g_values
26 else:
27 XY_sample = shape_share.f_model.new_sample(XY, space)
28 g_values = shape_share.gm(XY_sample).g_values
29
30 Z = g_values.reshape(ngrid, ngrid)
31 return X, Y, Z
32
33
34 #č napadlo mě, že bych mohl matplotlibovskému Axes
35 #č přiřazovat (připsavat, zadávat) atribut 'space'
36 #č Daválo by to smysl, ne? U všeho ostatního, u sample boksů
37 #č nejsem jist, ale mám pocit, že na jedném sablotu někdo potřebuje
38 #č kreslit z různejch prostoru.
39 #č Zkrátka, funkce v tomto modulu požadujou aby
40 #č ax.space a ax.sample_box byl nastaven!
41
42 # ax.space and ax.sample_box attributes should (expected to) be set up!
43
44
45 def limit_state_surface(ax3d, **kwargs):
46 xmin, xmax = ax3d.get_xlim()
47 ymin, ymax = ax3d.get_ylim()
48 limits = (xmin, xmax, ymin, ymax)
49
50 if 'rcount' in kwargs:
51 ngrid = kwargs['rcount']
52 else:
53 ngrid = 50
54
55 X, Y, Z = get_g_model_wireframe_data(ax3d.sample_box,\
56 limits, space=ax3d.space, ngrid=ngrid)
57
58 # make a color map of fixed colors
59 if 'cmap' not in kwargs:
60 kwargs['cmap'] = colors.ListedColormap(['red', 'green'])
61 if 'norm' not in kwargs:
62 kwargs['norm'] = colors.BoundaryNorm([0], kwargs['cmap'].N, extend='both')
63
64 return ax3d.plot_surface(X, Y, Z, **kwargs)
65
66
67 def density_surface(ax3d, **kwargs):
68 xmin, xmax = ax3d.get_xlim()
69 ymin, ymax = ax3d.get_ylim()
70
71 if 'rcount' in kwargs:
72 ngrid = kwargs['rcount']
73 else:
74 ngrid = 50
75
76 x = np.linspace(xmin, xmax, ngrid)
77 y = np.linspace(ymin, ymax, ngrid)
78 X, Y = np.meshgrid(x, y)
79 XY = np.vstack((X.flatten(), Y.flatten())).T
80 z = ax3d.sample_box.sample_pdf(XY, ax3d.space)
81 Z = z.reshape(ngrid, ngrid)
82
83 return ax3d.plot_surface(X, Y, Z, **kwargs)
84
85
86
87
88 def tri_surface(ax3d, **kwargs):
89 xy = getattr(ax3d.sample_box, ax3d.space)
90 x, y = xy.T
91 z = ax3d.sample_box.g_values
92
93 return ax3d.plot_trisurf(x, y, z, **kwargs)
94
95
96
97
98 # from Matplotlib sources:
99 # "TODO: Support custom face colours"
100
101 #def tri_colored_surface(ax3d, **kwargs):
102 # xy = getattr(ax3d.sample_box, ax3d.space)
103 # x, y = xy.T
104 # z = ax3d.sample_box.g_values
105 # tri = mtri.Triangulation(x, y)
106 # colors = get_simplices_colors(ax3d.sample_box, tri.get_masked_triangles())
107 # return ax3d.plot_trisurf(tri, z, color=colors, **kwargs)
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