.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples/plotly/plot_main10_weather.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download__examples_plotly_plot_main10_weather.py>`
        to download the full example code

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

.. _sphx_glr__examples_plotly_plot_main10_weather.py:


10. Plot sparklines with weather
======================================

.. GENERATED FROM PYTHON SOURCE LINES 6-101



.. raw:: html
    :file: images/sphx_glr_plot_main10_weather_001.html





.. code-block:: default
   :lineno-start: 6

    # -------------------
    # Main
    # -------------------
    # https://chart-studio.plotly.com/~empet/13748/sparklines/#/code
    # https://omnipotent.net/jquery.sparkline/#s-about
    # https://chart-studio.plotly.com/create/?fid=Dreamshot:8025#/

    # Libraries
    import glob
    import numpy as np
    import pandas as pd
    import plotly.express as px
    import plotly.graph_objects as go

    from pandas.tseries.offsets import DateOffset
    from plotly.subplots import make_subplots
    from plotly.io import show

    try:
        __file__
        TERMINAL = True
    except:
        TERMINAL = False

    # Constants
    colors = px.colors.sequential.Viridis_r
    colors += px.colors.sequential.Viridis_r

    # -------------------
    # Load data
    # -------------------
    # Define folder
    folder = '../../datasets/weather-hmc-dataset/'

    # Load data
    data = pd.concat([pd.read_csv(f) \
        for f in glob.glob('%s/*.csv' % folder)])

    # Drop duplicates
    data = data.drop_duplicates()
    data['dates'] = pd.to_datetime(data['Date time'])
    data = data.set_index('dates')
    data = data.drop(columns=['Name',
                              'Date time',
                              'Conditions'])

    if TERMINAL:
        print("\nData:")
        print(data)
    data


    # ----------------
    # Visualize
    # ----------------
    # Create layout
    layout = {
      "font": {"family": "Georgia, serif"},
      "title": "Weather Ho Chi Minh",
      #"width": 500,
      "height": 1000,
      #"margin": {"t": 80},
      "paper_bgcolor": 'rgba(0,0,0,0)',  # transparent
      "plot_bgcolor": 'rgba(0,0,0,0)',  # transparent
      #"autosize": False,
      "hovermode": "closest",
      "showlegend": False,
    }

    # Create figure
    fig = make_subplots(rows=data.shape[1], cols=1,
                        shared_xaxes=True,
                        subplot_titles=[t for t in data.columns])

    # Add traces
    for i, column in enumerate(data.columns):
        # Colors
        c = colors[i]
        x = data.index
        y = data[column]

        # Add trace
        fig.add_trace(go.Scatter(x=x, y=y,
            name=column,
            mode='lines', fill='tozeroy',
            line=dict(color=c, width=0.5)),
            row=i+1, col=1)

        # Update axes
        fig.update_yaxes(title_text='', row=i+1, col=1)

    # Update layout
    fig.update_layout(layout)

    # Show
    show(fig)

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

   **Total running time of the script:** ( 0 minutes  5.910 seconds)


.. _sphx_glr_download__examples_plotly_plot_main10_weather.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_main10_weather.py <plot_main10_weather.py>`



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

     :download:`Download Jupyter notebook: plot_main10_weather.ipynb <plot_main10_weather.ipynb>`


.. only:: html

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

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