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".

/mplot/_axis3d_margins_patch.py (2931745c94d44bb6d5b11158530bdf186e6eb889) (714 bytes) (mode 100644) (type blob)

#!/usr/bin/env python
# coding: utf-8

# Monkey patch module
# Just import it to make MPL unpredictable

# taken from StackOverflow
# https://stackoverflow.com/questions/16488182/removing-axes-margins-in-3d-plot
# © HYRY, 2013
# license: CC BY-SA 3.0
###patch start###
from mpl_toolkits.mplot3d.axis3d import Axis
if not hasattr(Axis, "_get_coord_info_old"):
    def _get_coord_info_new(self, renderer):
        mins, maxs, centers, deltas, tc, highs = self._get_coord_info_old(renderer)
        mins += deltas / 4
        maxs -= deltas / 4
        return mins, maxs, centers, deltas, tc, highs
    Axis._get_coord_info_old = Axis._get_coord_info  
    Axis._get_coord_info = _get_coord_info_new
###patch end###


Mode Type Size Ref File
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100644 blob 1462 437b0d372b6544c74fea0d2c480bb9fd218e1854 plot.py
100644 blob 2807 1feb1d43e90e027f35bbd0a6730ab18501cef63a plotly_plot.py
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100644 blob 54074 ba978868adb487385157afa5b3420f9ad90e4f46 simplex.py
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100644 blob 10940 6965eabdb5599bb22773e7fef1178f9b2bb51efe stm_df.py
040000 tree - 2e8d08eec735088322a3ea5f667ff338db7808ca testcases
100644 blob 2465 d829bff1dd721bdb8bbbed9a53db73efac471dac welford.py
100644 blob 20204 1a281748b81481f8d51c3793bcf46b0034082152 whitebox.py
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