/dports/math/openturns/openturns-1.18/python/doc/pyplots/ |
H A D | NormalGamma.py | 11 pdf_axis = fig.add_subplot(111) variable 12 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False) 13 pdf_axis.set_ylim(top=5.0)
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H A D | MaximumEntropyOrderStatisticsDistribution.py | 13 pdf_axis = fig.add_subplot(121) variable 15 pdf_axis.set_xlim(auto=True) 18 View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | OrdinalSumCopula.py | 16 pdf_axis = fig.add_subplot(121) variable 18 pdf_axis.set_xlim(auto=True) 21 View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | CompositeDistribution.py | 20 pdf_axis = fig.add_subplot(121) variable 22 pdf_axis.set_xlim(auto=True) 25 View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | ComposedCopula.py | 17 pdf_axis = fig.add_subplot(121) variable 19 pdf_axis.set_xlim(auto=True) 22 View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | Mixture.py | 23 pdf_axis = fig.add_subplot(121) variable 25 pdf_axis.set_xlim(auto=True) 28 View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | BayesDistribution.py | 11 pdf_axis = fig.add_subplot(111) variable 12 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False)
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H A D | WeibullMax.py | 19 pdf_axis = fig.add_subplot(121) variable 21 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | GeneralizedExtremeValue.py | 19 pdf_axis = fig.add_subplot(121) variable 21 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | GeneralizedPareto.py | 19 pdf_axis = fig.add_subplot(121) variable 21 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | WeibullMin.py | 19 pdf_axis = fig.add_subplot(121) variable 21 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | Beta.py | 20 pdf_axis = fig.add_subplot(121) variable 22 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | FisherSnedecor.py | 20 pdf_axis = fig.add_subplot(121) variable 22 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | Gamma.py | 20 pdf_axis = fig.add_subplot(121) variable 22 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | NegativeBinomial.py | 20 pdf_axis = fig.add_subplot(121) variable 22 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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H A D | Burr.py | 20 pdf_axis = fig.add_subplot(121) variable 22 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=True)
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/dports/math/openturns/openturns-1.18/python/doc/_templates/ |
H A D | DistributionFactory.rst_t | 26 pdf_axis = fig.add_subplot(111) 27 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False) 39 pdf_axis = fig.add_subplot(111) 40 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False, square_axes=True)
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H A D | Copula.rst_t | 33 pdf_axis = fig.add_subplot(121) 35 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False, square_axes=True)
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H A D | DistributionHighDimension.rst_t | 46 pdf_axis = fig.add_subplot(n_rows, n_cols, j*dimension+i+1) 61 …View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False, square_axes=distribution.isCopula())
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H A D | Distribution.rst_t | 58 pdf_axis = fig.add_subplot(121) 60 View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False)
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