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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_snsx_plot_prplot_script.py>`
        to download the full example code. or to run this example in your browser via JupyterLite or Binder

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

.. _sphx_glr_auto_examples_snsx_plot_prplot_script.py:


plot_prplot_script with examples
==========================================

An example showing the :py:func:`~scikitplot.snsx.prplot` function
used by a scikit-learn regressor.

.. GENERATED FROM PYTHON SOURCE LINES 8-12

.. code-block:: Python
   :lineno-start: 9


    # Authors: The scikit-plots developers
    # SPDX-License-Identifier: BSD-3-Clause








.. GENERATED FROM PYTHON SOURCE LINES 13-14

Import scikit-plot

.. GENERATED FROM PYTHON SOURCE LINES 14-17

.. code-block:: Python
   :lineno-start: 14

    import scikitplot.snsx as sp









.. GENERATED FROM PYTHON SOURCE LINES 18-23

.. code-block:: Python
   :lineno-start: 18

    ax = sp.prplot(
        x=[0, 1, 1, 0, 1, 0, 1, 1, 0, 1],
        y=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8  , 0.9, 1.0],
    )




.. image-sg:: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_001.png
   :alt: PR (Precision-Recall) Curve
   :srcset: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 24-33

.. code-block:: Python
   :lineno-start: 24

    import numpy as np; np.random.seed(0)  # reproducibility
    import pandas as pd
    df = pd.DataFrame({
        "true": np.random.normal(0.5, 0.1, 100).round(),
        "prob": np.random.normal(0.5, 0.1, 100),
        "group": ["A", "A", "A", "A", "A", "B", "B", "B", "B", "B"]*10
    })









.. GENERATED FROM PYTHON SOURCE LINES 34-35

PR Curve

.. GENERATED FROM PYTHON SOURCE LINES 35-39

.. code-block:: Python
   :lineno-start: 35

    ax = sp.prplot(x=df.true, y=df.prob, hue=df.group)
    # ax = sp.rocplot(df, x="true", y="prob", label=f"classA")





.. image-sg:: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_002.png
   :alt: PR (Precision-Recall) Curve
   :srcset: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 40-61

.. code-block:: Python
   :lineno-start: 40

    for i in range(10):
        np.random.seed(i)  # reproducibility
        df = pd.DataFrame({
            "true": np.random.normal(0.5, 0.1, 100).round(),
            "prob": np.random.normal(0.5, 0.1, 100),
            "group": ["A", "A", "A", "A", "A", "B", "B", "B", "B", "B"]*10
        })
        ax = sp.prplot(df, x="true", y="prob", label=f"{i}")

        # ax = sp.rocplot(
        #     x=np.random.normal(0.5, 0.1, 100).round(),
        #     y=np.random.normal(0.5, 0.1, 100),
        #     label=f"{i}",
        # )

        # --- Collect unique handles and labels ---
        handles, labels = ax.get_legend_handles_labels()
        by_label = dict(zip(labels, handles))  # deduplicate

        # Override legend
        ax.legend(by_label.values(), by_label.keys(), title="Legend")



.. image-sg:: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_003.png
   :alt: PR (Precision-Recall) Curve
   :srcset: /auto_examples/snsx/images/sphx_glr_plot_prplot_script_003.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 0.455 seconds)


.. _sphx_glr_download_auto_examples_snsx_plot_prplot_script.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/scikit-plots/scikit-plots/main?urlpath=lab/tree/notebooks/auto_examples/snsx/plot_prplot_script.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: lite-badge

      .. image:: images/jupyterlite_badge_logo.svg
        :target: ../../lite/lab/index.html?path=auto_examples/snsx/plot_prplot_script.ipynb
        :alt: Launch JupyterLite
        :width: 150 px

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

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

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

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

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

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


.. include:: plot_prplot_script.recommendations


.. only:: html

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

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