import dask.dataframe as dd

df = dd.read_parquet('../data/earthquakes.parq', columns=['time', 'place', 'mag']).reset_index(drop=True).persist()

import panel as pn

pn.extension()

def select_row(row=0):
    return df.loc[row].compute()

pn.interact(select_row, row=(0, len(df)-1))

app = pn.interact(select_row, row=(0, len(df)-1))

print(app)

pn.Column("## Choose a row", pn.Row(app[0], app[1]))

title = pn.panel('## Earthquake Dashboard')

title

print(title)

usgs_logo = pn.panel('../assets/usgs_logo.png', height=130)

print(usgs_logo)

usgs_logo

pn.pane.HTML('<marquee width=500><b>Breaking news</b>: A major earthquake has hit.</marquee>')





column = pn.Column(title, usgs_logo)

column

import pandas as pd

df_top5 = pd.DataFrame([
    ('2004-12-26T00:58:53.45', '2004 Sumatra - Andaman Islands Earthquake', 9.1),
    ('2011-03-11T05:46:24.12', '2011 Great Tohoku Earthquake, Japan', 9.1),
    ('2010-02-27T06:34:11.53', 'Offshore Bio-Bio, Chile', 8.8),
    ('2005-03-28T16:09:36.53', 'Northern Sumatra, Indonesia', 8.6),
    ('2012-04-11T08:38:36.72', 'Off the west coast of northern Sumatra', 8.6)
], columns=['Time', 'Place', 'Magnitude'])

row = pn.Row(column, pn.panel(df_top5, width=500))

row





title

#title.object = '## The Most Powerful Earthquakes'

column

text = """
This dashboard displays the most powerful earthquakes recorded
by the US Geological Survey between 2000 and 2018.
"""

# column.append(text)

# row.show()

row.servable()