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Introduction to 2D functions plots
==============================================================



Plots of continuous distribution functions
------------------------------------------------------------------------------------------

Some text


Probability density function (pdf)
.......................................

The Python code for the example below can be found online in the ``DataXlCalcNet`` repository or in the corresponding local ``DataXlCalcNet`` folder in the file `D07_DistPlotContinuous.py <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/A01_ExamplesPython/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D07_DistPlotContinuous.py>`__, and the XML code in the file `D07_DistPlotContinuous.2D.xml <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/GalleryOfPlotsExamples/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D07_DistPlotContinuous.2D.xml>`__.


To produce the figure as shown below, the try-block at the end of the file should look like this:

.. code-block:: python

    try:
        if __name__ == '__main__':
            ylim = None
            target = 'pdf' # pdf, cdf, 'sf', 'hf', 'chf', 'qtf', 'isf'

            Title = 'Beta distribution'
            a = [5, 10.0, 20.5]
            b = [20.5, 10.0, 5]
            xlim = [0, 0.999]
            if target=='hf': ylim=[0, 100]

            dlist = []
            ltext = []
            for j in range(len(a)):
                dlist.append(dreal.dist_beta(a[j], b[j]))
                ltext.append('a=' + str(a[j]) + ', b=' + str(b[j]))

            DistPlotContinuous(Title = Title, dlist=dlist, xlim = xlim, 
                ylim = ylim, target = target, ltext = ltext, marker='o', 
                markersize=0)




|picBeta_distribution_pdf|

.. |picBeta_distribution_pdf| image:: ../_static/FuncPlots2D/Intro/Beta_distribution_pdf.*






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Cumulative distribution function (cdf)
.......................................

The Python code for the example below can be found online in the ``DataXlCalcNet`` repository or in the corresponding local ``DataXlCalcNet`` folder in the file `D07_DistPlotContinuous.py <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/A01_ExamplesPython/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D07_DistPlotContinuous.py>`__, and the XML code in the file `D07_DistPlotContinuous.2D.xml <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/GalleryOfPlotsExamples/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D07_DistPlotContinuous.2D.xml>`__.


To produce the figure as shown below, the try-block at the end of the file should look like this:

.. code-block:: python

    try:
        if __name__ == '__main__':
            ylim = None
            target = 'cdf' # pdf, cdf, 'sf', 'hf', 'chf', 'qtf', 'isf'

            Title = 'Beta distribution'
            a = [5, 10.0, 20.5]
            b = [20.5, 10.0, 5]
            xlim = [0, 0.999]
            if target=='hf': ylim=[0, 100]

            dlist = []
            ltext = []
            for j in range(len(a)):
                dlist.append(dreal.dist_beta(a[j], b[j]))
                ltext.append('a=' + str(a[j]) + ', b=' + str(b[j]))

            DistPlotContinuous(Title = Title, dlist=dlist, xlim = xlim, 
                ylim = ylim, target = target, ltext = ltext, marker='o', 
                markersize=0)



|picBeta_distribution_cdf|

.. |picBeta_distribution_cdf| image:: ../_static/FuncPlots2D/Intro/Beta_distribution_cdf.*










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Plots of discrete distribution functions
------------------------------------------------------------------------------------------



Probability mass function (pmf)
.......................................

The Python code for the example below can be found online in the ``DataXlCalcNet`` repository or in the corresponding local ``DataXlCalcNet`` folder in the file `D08_DistPlotDiscrete.py <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/A01_ExamplesPython/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D08_DistPlotDiscrete.py>`__, and the XML code in the file `D08_DistPlotDiscrete.2D.xml <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/GalleryOfPlotsExamples/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D08_DistPlotDiscrete.2D.xml>`__.


To produce the figure as shown below, the try-block at the end of the file should look like this:

.. code-block:: python

    try:
        if __name__ == '__main__':
            ylim = None
        
            Title = 'Poisson distribution'
            target = 'pmf' # pmf, cdf, 'sf', 'hf', 'chf', 'qtf', 'isf'
            mu = [1, 4, 10]
            xlim = [0.0, 20.0]
            ylim = None
            if target=='qtf': ylim=[0, 20]

            dlist = []
            ltext = []
            for j in range(len(mu)):
                dlist.append(dreal.dist_poisson(mu[j]))
                ltext.append('mu=' + str(mu[j]))
            DistPlotDiscrete(Title = Title, dlist=dlist, xlim = xlim,  ylim = ylim, 
                target = target, ltext = ltext, lattice=True, marker='o', 
                markersize=3, vertical_lines=True)



|picPoisson_distribution_pmf|

.. |picPoisson_distribution_pmf| image:: ../_static/FuncPlots2D/Intro/Poisson_distribution_pmf.*




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Cumulative distribution function (cdf)
.......................................

The Python code for the example below can be found online in the ``DataXlCalcNet`` repository or in the corresponding local ``DataXlCalcNet`` folder in the file `D08_DistPlotDiscrete.py <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/A01_ExamplesPython/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D08_DistPlotDiscrete.py>`__, and the XML code in the file `D08_DistPlotDiscrete.2D.xml <https://github.com/duhadler/DataXlCalcNet/blob/master/DataXlCalcNet/GalleryOfPlotsExamples/B18_FunctionsAndCurvesPlots/C01_Intro_Parametric2D/D08_DistPlotDiscrete.2D.xml>`__.


To produce the figure as shown below, the try-block at the end of the file should look like this:

.. code-block:: python

    try:
        if __name__ == '__main__':
            ylim = None
        
            Title = 'Poisson distribution'
            target = 'cdf' # pmf, cdf, 'sf', 'hf', 'chf', 'qtf', 'isf'
            mu = [1, 4, 10]
            xlim = [0.0, 20.0]
            ylim = None
            if target=='qtf': ylim=[0, 20]

            dlist = []
            ltext = []
            for j in range(len(mu)):
                dlist.append(dreal.dist_poisson(mu[j]))
                ltext.append('mu=' + str(mu[j]))
            DistPlotDiscrete(Title = Title, dlist=dlist, xlim = xlim,  ylim = ylim, 
                target = target, ltext = ltext, lattice=True, marker='o', 
                markersize=3, vertical_lines=True)



|picPoisson_distribution_cdf|

.. |picPoisson_distribution_cdf| image:: ../_static/FuncPlots2D/Intro/Poisson_distribution_cdf.*