.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/plot_density.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_gallery_plot_density.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_plot_density.py:


Density histogramm examples
===========================

.. GENERATED FROM PYTHON SOURCE LINES 6-32



.. image:: /gallery/images/sphx_glr_plot_density_001.png
    :alt: plot density
    :class: sphx-glr-single-img





.. code-block:: default

    import pandas as pd
    import toto
    import matplotlib.pyplot as plt
    from toto.inputs.txt import TXTfile
    import os
    # read the file
    hindcast='https://raw.githubusercontent.com/calypso-science/Toto/master/_tests/txt_file/tahuna_hindcast.txt'
    measured='https://raw.githubusercontent.com/calypso-science/Toto/master/_tests/txt_file/tahuna_measured.txt'
    os.system('wget %s ' % hindcast)
    os.system('wget %s ' % measured)

    hd=TXTfile(['tahuna_hindcast.txt'],colNamesLine=1,skiprows=1,unitNamesLine=0,time_col_name={'Year':'year','Month':'month','Day':'day','Hour':'hour','Min':'Minute'})
    hd.reads()
    hd.read_time()
    hd=hd._toDataFrame()

    # # Processing
    hd[0].StatPlots.density_diagramm(X='tp',Y='hs',args={
            'X name':'Wave period',
            'Y name':'Significant wave height',
            'Y unit':'m',
            'X unit':'s',
            'Y limits':[0,5],
            'X limits':[0,20],
            'display':'On',
            })


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.999 seconds)


.. _sphx_glr_download_gallery_plot_density.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_density.py <plot_density.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_density.ipynb <plot_density.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_