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: use empty markers for proxy points dd9e0c8f79977a92615ef408862298ed5ee0d000 I am 2022-01-19 22:30:37
mplot.mart: set up spines linewidth 4220ec6f715c78c1feac9966b5804ee995029bdf I am 2022-01-19 19:43:18
mplot: reduce arrow and axis linewidth 666b1455f15ec803106fbfd773c1d3aa3877a1f9 I am 2022-01-19 18:04:37
mplot.maxes: přídáme férové cenzurováné vzorkování 4b488e62a969f972882f982e903c6a3d252274a6 I am 2022-01-19 17:39:14
simplex: add simple filter function for rejection sampling a58d3814dfd3366ef536c90b37fd50e3edccc9e9 I am 2022-01-19 17:38:08
whitebox: add rude approximation for sumexp. (Je teda opravdu hodně nepřesná) 281f66ac70e21756415c8efecfdee50873b34b58 I am 2022-01-18 22:25:51
whitebox: add four betas class 57a25000259e74f1ac28bb1bac6b0cc01dd5201c I am 2022-01-18 21:43:00
whitebox: introduce Gaussian_Z_prod_2D class with respective exact solution 13e592f107918d4cc3daaeec1f08e38779a943aa I am 2022-01-18 18:51:23
mplot: polish maxes and mfigs dfb9193da5fcb633fbe58fb39ff7b4432de4a5c5 I am 2022-01-18 00:44:56
testcases: add gaussian_2D module c5e279c08bba39bdd82c79d15d00241c786c795d I am 2022-01-18 00:06:36
qt_gui.qt_testcases: simplify code for the unparametrized testcases 60b7678186738107b3346beae7fb0744570d60fc I am 2022-01-18 00:05:34
mplot.mart: move setup_labels to mart module 9d7783a3a9905a72c51b4fec76e367dffdbc4563 I am 2022-01-17 17:33:16
mplot.__init__: set up small non zero padding (0.01) f0d23235b109c4224599eb0426ad0d9ee8b2a9b8 I am 2022-01-17 17:31:44
mplot: raster candidates, polishing 63d6d00dfe7affc8ed3d05161fd4a5b50db62207 I am 2022-01-17 16:34:05
mplot: more figures 3a7f54e09cd78a2fc2ff50d7cf5c142f04ffdc28 I am 2022-01-09 00:42:33
testcases: add proxy_prod 2D testcase edb11ab54bcf677757974f133d2d66816b701ade I am 2022-01-09 00:41:27
stm_df: fix proxy, pandas nějak nám šťourá v našich boolean maticích 1d9f360edfc03932a08dff8aad97f189b155e708 I am 2022-01-09 00:39:24
mplot.maxes: a little bit more to labels d989a2d1b69b116a14f7ff81776f5f75d80cfea0 I am 2022-01-06 17:48:57
mplot.figs: add double and triple triangulations plots 091361cc326239b552078c489f9f164ccda4f54b I am 2022-01-06 16:17:50
mplot.maxes: aspoň nějak nastavit popísky os 50e8e467c24d73d9522166183275deab547243f8 I am 2022-01-06 16:16:36
Commit dd9e0c8f79977a92615ef408862298ed5ee0d000 - mplot: use empty markers for proxy points
Author: I am
Author date (UTC): 2022-01-19 22:30
Committer name: I am
Committer date (UTC): 2022-01-19 22:30
Parent(s): 4220ec6f715c78c1feac9966b5804ee995029bdf
Signer:
Signing key:
Signing status: N
Tree: e294fbc31a366f131ab99a96859947d72df9924d
File Lines added Lines deleted
mplot/__init__.py 1 1
mplot/mart.py 2 2
mplot/maxes.py 3 3
File mplot/__init__.py changed (mode: 100644) (index 448ff45..f8a0fe7)
... ... matplotlib.rcParams['savefig.dpi'] = 300
21 21 matplotlib.rcParams['savefig.bbox'] = 'tight' matplotlib.rcParams['savefig.bbox'] = 'tight'
22 22 matplotlib.rcParams['savefig.pad_inches'] = 0.01 matplotlib.rcParams['savefig.pad_inches'] = 0.01
23 23 #č neptejte se mně proč, ale tloušťka čár se neaplikuje globálně #č neptejte se mně proč, ale tloušťka čár se neaplikuje globálně
24 #matplotlib.rcParams['axes.linewidth'] = 100500
24 matplotlib.rcParams['axes.linewidth'] = 0.4
25 25 matplotlib.rcParams['font.size'] = 8 matplotlib.rcParams['font.size'] = 8
26 26
27 27 # Show-functions # Show-functions
File mplot/mart.py changed (mode: 100644) (index a9ec689..62ea363)
... ... def plot_points(ax, ls='', **kwargs):
114 114
115 115 mask = np.all((~failsi, proxy), axis=0) mask = np.all((~failsi, proxy), axis=0)
116 116 if np.any(mask): #proxy_successes if np.any(mask): #proxy_successes
117 plot_list.append(ax.plot(x[mask], y[mask], mec='#77AC30', mfc='#77AC30',\
117 plot_list.append(ax.plot(x[mask], y[mask], mec='#77AC30', mfc=(0,0,0,0),\
118 118 marker='h', ls=ls, **kwargs)) marker='h', ls=ls, **kwargs))
119 119
120 120 mask = np.all((failsi, proxy), axis=0) mask = np.all((failsi, proxy), axis=0)
121 121 if np.any(mask): #proxy_failures if np.any(mask): #proxy_failures
122 plot_list.append(ax.plot(x[mask], y[mask], mec='#D95319', mfc='#D95319',\
122 plot_list.append(ax.plot(x[mask], y[mask], mec='#D95319', mfc=(0,0,0,0),\
123 123 marker='H', ls=ls, **kwargs)) marker='H', ls=ls, **kwargs))
124 124
125 125 return plot_list # success, failures, proxy_successes, proxy_failures return plot_list # success, failures, proxy_successes, proxy_failures
File mplot/maxes.py changed (mode: 100644) (index 306a360..0f01a6d)
... ... def tri_nodes_plot(ax, tri_space=None, tn_scheme=None,\
206 206 else: else:
207 207 mart.tri_plot(ax, Tri=Tri, color="#B2B2B2", lw=0.5, zorder=100) mart.tri_plot(ax, Tri=Tri, color="#B2B2B2", lw=0.5, zorder=100)
208 208
209 mart.plot_points(ax, ms=2.5, zorder=100500)
209 mart.plot_points(ax, ms=2.5, mew=0.6, zorder=100500)
210 210 try: try:
211 211 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
212 212 except: except:
 
... ... def tri_plot(ax, tri_space=None, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.1], data
242 242 else: else:
243 243 mart.tri_plot(ax, Tri=Tri, color="#B2B2B2", lw=0.5, zorder=100) mart.tri_plot(ax, Tri=Tri, color="#B2B2B2", lw=0.5, zorder=100)
244 244
245 mart.plot_points(ax, ms=2.5, zorder=100500)
245 mart.plot_points(ax, ms=2.5, mew=0.6, zorder=100500)
246 246 try: try:
247 247 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
248 248 except: except:
 
... ... def convex_hull_plot(ax, tri_space=None, linewidths=[0.7, 0.5, 0.4, 0.3, 0.2, 0.
269 269 mart.curly(ax, linewidths=linewidths) mart.curly(ax, linewidths=linewidths)
270 270 qhull = khull.QHull(ax.sample_box, space=tri_space, incremental=False) qhull = khull.QHull(ax.sample_box, space=tri_space, incremental=False)
271 271 mart.qhull_plot(ax, qhull, color="#B2B2B2", lw=0.7, zorder=100) mart.qhull_plot(ax, qhull, color="#B2B2B2", lw=0.7, zorder=100)
272 mart.plot_points(ax, ms=2.5, zorder=100500)
272 mart.plot_points(ax, ms=2.5, mew=0.6, zorder=100500)
273 273 try: try:
274 274 mart.plot_boundaries(ax, lw=0.7, zorder=1050) mart.plot_boundaries(ax, lw=0.7, zorder=1050)
275 275 except: except:
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