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import panel as pn
import vega_datasets
# Enable Panel extensions
pn.extension(design='bootstrap')
pn.extension('vega')
template = pn.template.BootstrapTemplate(
title='Nan-Hsin Lin',
)
# Define a function to create and return a plot
def create_plot(subgroup, date_range, moving_av_window):
# Apply any required transformations to the data in pandas
df3 = df2[df2['choice'] == 'approve'].copy()
df3 = df3[df3['subgroup'] == subgroup]
df3['smoothed_rate'] = df3['rate'].rolling(moving_av_window).mean().shift(-int(moving_av_window/2))
start_date, end_date = date_range
df3 = df3[(df3['timestamp'] >= np.datetime64(start_date)) & (df3['timestamp'] <= np.datetime64(end_date))]
# Line chart
rate_line = alt.Chart(df3).mark_line(strokeWidth=2, color='red').encode(
x=alt.X('timestamp:T', axis=alt.Axis(title=None)),
y=alt.Y('average(smoothed_rate):Q', axis=alt.Axis(title='move_avg'), scale=alt.Scale(domain=[30, 60]))
)
# Scatter plot with individual polls
rate_scatter = alt.Chart(df3).mark_point(color='grey', size=2, opacity=0.7).encode(
x=alt.X('timestamp:T', axis=alt.Axis(title=None)),
y=alt.Y('average(rate):Q', axis=alt.Axis(title='approve'), scale=alt.Scale(domain=[30, 60])),
)
# Put them together
plot = alt.layer(rate_line, rate_scatter).configure_view(strokeWidth=0)
# Return the combined chart
return plot
# Create the selection widget
select = pn.widgets.Select(name='Select', options=df2['subgroup'].unique().tolist())
# Create the slider for the date range
dateSlider = pn.widgets.DateRangeSlider(name='Date Range Slider',
start=df2['timestamp'].min(),
end=df2['timestamp'].max(),
value=(df2['timestamp'].min(), df2['timestamp'].max()))
# Create the slider for the moving average window
avgSlider = pn.widgets.IntSlider(name='Moving average window', start=1, end=100, value=1)
# Bind the widgets to the create_plot function
plot_widgets = pn.Row(pn.bind(create_plot, select, dateSlider, avgSlider))
# Combine everything in a Panel Column to create an app
maincol = pn.Column()
maincol.append("# SI649 Lab07")
maincol.append("Hello! This is **Nan**. I love information visualization! Email me: [[email protected]](mailto:[email protected])")
maincol.append(plot_widgets)
maincol.append(select)
maincol.append(dateSlider)
maincol.append(avgSlider)
template.main.append(maincol)
# set the app to be servable
template.servable(title="Nan-Hsin Lin") |