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".
List of commits:
Subject Hash Author Date (UTC)
mplot.mart: add number_points function dab89bdb9e5190600aa394c9b65cfa24d162be0e I am 2022-03-20 14:42:23
testcases:testcases_nD: add hyperplane_pf3 87176287101b0a15a86c7999ba9626674400d225 I am 2022-03-20 14:41:26
testcases:gaussian_2D: add pf estimation for sinshilds case 889b5aebae164ea3fb1f9375ae58d1afa4687696 I am 2022-03-17 20:42:13
mplot: add rbf_density_plot() 62ce990cb9418418879d0f5e084a26043b5bfdeb I am 2022-03-04 03:00:32
misc: little changes to the rbf class 058a0401db09f4e9e68af72c987c3b879077864d I am 2022-03-03 22:53:48
mplot.maxes: rbf, one more try 8303470585507772e8170504989835f04a7828b9 I am 2022-03-02 22:13:08
mplot.maxes: add rbf_plot 3485da2191b2f64fac76813d072a6b6f6e2fba71 I am 2022-03-02 03:35:27
mplot.maxes: add rbf plot bd5055adced9e0d8887fa213baa0ff9f9e038ba4 I am 2022-03-02 02:17:18
misc: add small class for rbf surrogate model f8beecf63302ceae6d3462ed279b796b54149bdf I am 2022-03-02 02:16:01
testcases: pf_exact fix for suspension 3d case 0f3318cac398c9195e0b21a6f13edc9475156b0d I am 2022-03-02 02:14:55
g_models.CosExp2D: add pf_expression() method 3ebf3098bcff1a73a649059b1539d622d58b7439 I am 2022-02-06 19:38:37
mplot.mfigs.double_diagram(): do not share x axis. User can set up limits itself after all e74145928c028479070af2fe766d55f180828cdf I am 2022-02-06 05:02:59
testcases: add reference solution bounds to the whitebox 3358b3ff7903417f6484a875abb154d3a7c04a06 I am 2022-02-06 05:00:50
mplot: we need more rasterization! 46df5af418dcab84e8e7e7e23724a74e86575806 I am 2022-02-05 02:20:22
testcases: provide more presice pf for vehicle suspension example e2c4bd1c7f2278b4d94b6f7515785528267c18bb I am 2022-02-05 02:18:45
g_models.PassiveSuspensionVehicle: reformulation and clean up 6e0f9ea7b97f12a2554d895be0b2b8a3f39a536d I am 2022-02-04 03:50:03
mplot: add beta diagram 5e346bdd2c5f06a41726e2ff264776dcc60eac19 I am 2022-02-01 04:08:34
mplot.maxes3d: rasterization of risges is absolutely needed 87c3235b8313ade07ca5b4d72b1f8fec339d621d I am 2022-01-31 03:15:31
testcases: add pf_exact for suspension example 9f903986699b97bfc0eb7c8d4bcad78d3e018450 I am 2022-01-30 23:14:42
mplot: polish 3d b78a192b0ce5c4f5f9e3a94e271bcde3f3c03fac I am 2022-01-30 23:14:16
Commit dab89bdb9e5190600aa394c9b65cfa24d162be0e - mplot.mart: add number_points function
Author: I am
Author date (UTC): 2022-03-20 14:42
Committer name: I am
Committer date (UTC): 2022-03-20 14:42
Parent(s): 87176287101b0a15a86c7999ba9626674400d225
Signer:
Signing key:
Signing status: N
Tree: c6f92766b9e8530b34cb9710c0bc3085afe0b377
File Lines added Lines deleted
mplot/mart.py 9 0
File mplot/mart.py changed (mode: 100644) (index b690239..b7bc751)
... ... def isocurves(ax, ngrid=200, limits=None, ncurves=5, **kwargs):
494 494
495 495
496 496
497 def number_points(ax, **kwargs):
498 points_coordinates = getattr(ax.sample_box, ax.space)[:,:2]
499 x, y = points_coordinates.T
500 labels = []
501 for i in range(ax.sample_box.nsim):
502 labels.append(ax.text(x[i], y[i], str(i+1), **kwargs))
503 return labels
504
505
497 506 def center_spines(ax, lw=0.4): def center_spines(ax, lw=0.4):
498 507 # Move the left and bottom spines to x = 0 and y = 0, respectively. # Move the left and bottom spines to x = 0 and y = 0, respectively.
499 508 ax.spines["left"].set_position(("data", 0)) ax.spines["left"].set_position(("data", 0))
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