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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_examples_gallery_plot_well_plotting.py>`
        to download the full example code.

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

.. _sphx_glr_examples_gallery_plot_well_plotting.py:


=====================
Well plotting methods
=====================

Showcases plotting capabilities.

.. GENERATED FROM PYTHON SOURCE LINES 9-67



.. image-sg:: /examples_gallery/images/sphx_glr_plot_well_plotting_001.png
   :alt: Production rate on logscale, Production rate, Cumulative production on logscale, Cumulative production, Cumulative production on logscale [zoomed], Cumulative production [zoomed]
   :srcset: /examples_gallery/images/sphx_glr_plot_well_plotting_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    import matplotlib.pyplot as plt

    from dca.adca.well import Well

    # Parameters to change
    SPLIT = 0.66
    curve_parameters = (10, 3.5, -1)
    q = [0.1, 0.5, 0.9]
    STD = 0.66

    # Generate a random well and fit it
    well = Well.generate_random(
        n=100,
        curve_model="arps",
        seed=2,
        preprocessing="producing_time",
        curve_parameters=curve_parameters,
        std=STD,
    )
    well.fit(half_life=None, prior_strength=1e-4, split=SPLIT)


    # Set up plot
    fig, axes = plt.subplots(3, 2, figsize=(8, 6), sharex=False)
    ax1, ax2, ax3, ax4, ax5, ax6 = axes.ravel()

    # Rates
    well.plot(split=SPLIT, ax=ax1, logscale=True, q=q)
    ax1.set_title("Production rate on logscale")

    well.plot(split=SPLIT, ax=ax2, logscale=False, q=q)
    ax2.set_title("Production rate")

    # Cumulative production
    well.plot_cumulative(split=SPLIT, ax=ax3, logscale=True, q=q)
    ax3.set_title("Cumulative production on logscale")

    well.plot_cumulative(split=SPLIT, ax=ax4, logscale=False, q=q)
    ax4.set_title("Cumulative production")

    # Zoomed in
    well.plot_cumulative(split=SPLIT, ax=ax5, logscale=True, q=q)
    ax5.set_title("Cumulative production on logscale [zoomed]")
    ax5.set_ylim([9.8, 10.15])
    ax5.set_xlim([40, 110])

    well.plot_cumulative(split=SPLIT, ax=ax6, logscale=False, q=q)
    ax6.set_title("Cumulative production [zoomed]")
    ax6.set_ylim([1.8e4, 2.5e4])
    ax6.set_xlim([40, 110])

    # Relabel x-axes
    for ax in axes.ravel():
        ax.set_xlabel("Time periods")

    fig.tight_layout()
    plt.show()


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

   **Total running time of the script:** (0 minutes 1.787 seconds)


.. _sphx_glr_download_examples_gallery_plot_well_plotting.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_well_plotting.zip <plot_well_plotting.zip>`


.. only:: html

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

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