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

.. only:: html

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

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

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

.. _sphx_glr_source_auto_examples_plotting_plot_data_rose.py:


Data rose plot
--------------

This is an example of how to display a data rose.
As can be seen in the final plot, there are two major
bullseyes of data, one around 0ºC to the Northeast and
another around 15ºC to the South. This tells us that we
get lower temperatures when winds are out of the N/NE as
would be expected at this location.  This can be extended
to easily review other types of data as well like aerosols
and fluxes.

.. GENERATED FROM PYTHON SOURCE LINES 15-106



.. image-sg:: /source/auto_examples/plotting/images/sphx_glr_plot_data_rose_001.png
   :alt: Mean of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107, Median of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107, Standard Deviation of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107, Heatmap of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107, Mean of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107, Boxplot of temp_mean (degC) by  wdir_vec_mean from 20190101 to 20190107
   :srcset: /source/auto_examples/plotting/images/sphx_glr_plot_data_rose_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/runner/work/ACT/ACT/act/plotting/windrosedisplay.py:358: RuntimeWarning: Mean of empty slice
      arr.append(np.nanmean(data[idx]))
    /home/runner/micromamba/envs/act-docs/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:1241: RuntimeWarning: Mean of empty slice
      return np.nanmean(a, axis, out=out, keepdims=keepdims)
    /home/runner/micromamba/envs/act-docs/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2053: RuntimeWarning: Degrees of freedom <= 0 for slice.
      var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
    /home/runner/work/ACT/ACT/act/plotting/windrosedisplay.py:429: RuntimeWarning: Mean of empty slice
      mean_data[i, j] = np.nanmean(data[idx])






|

.. code-block:: Python


    from arm_test_data import DATASETS
    from matplotlib import pyplot as plt

    import act

    # Read in some data with wind speed/direction in the file
    met_wildcard_list = [
        'sgpmetE13.b1.20190101.000000.cdf',
        'sgpmetE13.b1.20190102.000000.cdf',
        'sgpmetE13.b1.20190103.000000.cdf',
        'sgpmetE13.b1.20190104.000000.cdf',
        'sgpmetE13.b1.20190105.000000.cdf',
        'sgpmetE13.b1.20190106.000000.cdf',
        'sgpmetE13.b1.20190107.000000.cdf',
    ]
    met_filenames = [DATASETS.fetch(file) for file in met_wildcard_list]
    ds = act.io.arm.read_arm_netcdf(met_filenames)

    # Set up wind rose display object
    display = act.plotting.WindRoseDisplay(ds, subplot_shape=(2, 3), figsize=(16, 10))

    # Plot mean temperature based on wind direction
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='line',
        subplot_index=(0, 0),
    )

    # Plot median temperature based on wind direction
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='line',
        subplot_index=(0, 1),
        line_plot_calc='median',
    )

    # Plot standard deviation of temperature based on wind direction
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='line',
        subplot_index=(0, 2),
        line_plot_calc='stdev',
    )

    # Plot a contour of counts of temperature based on wind direction
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='contour',
        subplot_index=(1, 0),
    )

    # Plot a contour of mean temperature based on wind direction and wind speed
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='contour',
        contour_type='mean',
        num_data_bins=10,
        clevels=21,
        cmap='rainbow',
        vmin=-5,
        vmax=20,
        subplot_index=(1, 1),
    )

    # Plot a boxplot of temperature based on wind direction
    display.plot_data(
        'wdir_vec_mean',
        'wspd_vec_mean',
        'temp_mean',
        num_dirs=12,
        plot_type='boxplot',
        subplot_index=(1, 2),
    )

    plt.show()


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

   **Total running time of the script:** (0 minutes 2.586 seconds)


.. _sphx_glr_download_source_auto_examples_plotting_plot_data_rose.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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