.. only:: html

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

        Click :ref:`here <sphx_glr_download_examples_imaging_plotting.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_examples_imaging_plotting.py:


Make a plot, save, and show it (with and without blocking)
==========================================================

1) Regular plot show and save
2) Same but interactive and iterative (plt.ion() -> child threads, multi figs)
3) Use Bokeh to do some magic in a browser and draw connection to REST endpoint
        for dashboard. Basically mention how we'll likely use bokeh for graphs.

First let's import our basic libraries


.. code-block:: default

    import numpy as np
    import matplotlib.pyplot as plt
    import imagepypelines as ip








We'll also need to set up a few blocks


.. code-block:: default


    # A quick function which plots a line and styles it using plt.plot()'s kwargs
    @ip.blockify(batch_type="all", void=True)  # plot=True -> sets batch type to "all" for similar UX? Not sure if worth aliasing
    def line_plot(x, y, color="r"):
        fig = plt.figure()
        plt.plot(x, y, color=color)
        plt.show()

    line_plot_red = line_plot.tweak(color='r')
    line_plot_green = line_plot.tweak(color='g')
    line_plot_blue = line_plot.tweak(color='b')

    tasks_verbose = {"x": ip.Input(),
             "y": ip.Input(),
             "red": (line_plot_red, "x", "y"),
             "green": (line_plot_green, "x", "y"),
             "blue": (line_plot_blue, "x", "y")
            }

    tasks_tweaked = {"x": ip.Input(),
             "y": ip.Input(),
             "red": (line_plot.tweak(color='r'), "x", "y"),
             "green": (line_plot.tweak(color='g'), "x", "y"),
             "blue": (line_plot.tweak(color='b'), "x", "y")
            }

    # Normal functionality
    line_plot([1,2,3], [4,5,6])

    # Pipeline functionality - pre-defining separate instances
    plotting = ip.Pipeline(tasks_verbose)
    plotting([1,2,3],[2,4,6])

    # Pipeline functionality - defining in place
    plotting = ip.Pipeline(tasks_tweaked)
    plotting([1,2,3],[2,4,6])



.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_001.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_002.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_003.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_004.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_005.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_006.png
          :alt: plotting
          :class: sphx-glr-multi-img

    *

      .. image:: /examples/imaging/images/sphx_glr_plotting_007.png
          :alt: plotting
          :class: sphx-glr-multi-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none


    {'x': [1, 2, 3], 'y': [2, 4, 6], 'red': None, 'green': None, 'blue': None}




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

   **Total running time of the script:** ( 0 minutes  0.635 seconds)


.. _sphx_glr_download_examples_imaging_plotting.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: plotting.py <plotting.py>`



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

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


.. only:: html

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

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