.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples\plotly\plot_main07_parallel_v1.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_plotly_plot_main07_parallel_v1.py>`
        to download the full example code

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

.. _sphx_glr__examples_plotly_plot_main07_parallel_v1.py:


07a. Manufacturing features (parallel)
=======================================

This Python script uses the pandas and Plotly libraries to create
an interactive parallel coordinates plot. This type of plot is excellent
for visualizing and exploring relationships in datasets with many variables
(high-dimensional data). Each vertical line represents a different variable
(a column from the dataset), and each colored line that snakes across the
plot represents a single data point (a row from the dataset).

.. GENERATED FROM PYTHON SOURCE LINES 13-66



.. raw:: html
    :file: images\sphx_glr_plot_main07_parallel_v1_001.html





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


    import plotly.graph_objects as go
    import pandas as pd

    from plotly.io import show

    try:
        __file__
        TERMINAL = True
    except:
        TERMINAL = False


    # Load
    df = pd.read_csv("https://raw.githubusercontent.com/bcdunbar/datasets/master/parcoords_data.csv")

    # Visualize
    if TERMINAL:
        print("\nData:")
        print(df)
    df

    # Show
    fig = go.Figure(data=
        go.Parcoords(
            line = dict(color = df['colorVal'],
                       colorscale = 'Electric',
                       showscale = True,
                       cmin = -4000,
                       cmax = -100),
            dimensions = list([
                dict(range = [32000,227900],
                     constraintrange = [100000,150000],
                     label = "Block Height", values = df['blockHeight']),
                dict(range = [0,700000],
                     label = 'Block Width', values = df['blockWidth']),
                dict(tickvals = [0,0.5,1,2,3],
                     ticktext = ['A','AB','B','Y','Z'],
                     label = 'Cyclinder Material', values = df['cycMaterial']),
                dict(range = [-1,4],
                     tickvals = [0,1,2,3],
                     label = 'Block Material', values = df['blockMaterial']),
                dict(range = [134,3154],
                     visible = True,
                     label = 'Total Weight', values = df['totalWeight']),
                dict(range = [9,19984],
                     label = 'Assembly Penalty Wt', values = df['assemblyPW']),
                dict(range = [49000,568000],
                     label = 'Height st Width', values = df['HstW'])])
        )
    )

    # Show
    show(fig)

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

   **Total running time of the script:** ( 0 minutes  3.521 seconds)


.. _sphx_glr_download__examples_plotly_plot_main07_parallel_v1.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_main07_parallel_v1.py <plot_main07_parallel_v1.py>`



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

     :download:`Download Jupyter notebook: plot_main07_parallel_v1.ipynb <plot_main07_parallel_v1.ipynb>`


.. only:: html

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

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