| # Import panel and vega datasets | |
| import panel as pn | |
| import vega_datasets | |
| # Enable Panel extensions | |
| pn.extension() | |
| template = pn.template.BootstrapTemplate( | |
| title='SI649 Lab7', | |
| ) | |
| # Define a function to create and return a plot | |
| def create_plot(subgroup): | |
| # def create_plot(subgroup, date_range, moving_av_window): | |
| # Apply any required transformations to the data in pandas) | |
| filtered_df = df2_approve[df2_approve['subgroup'] == subgroup] | |
| # filtered_df = filtered_df[(filtered_df['timestamp'] >= date_range[0]) & (filtered_df['timestamp'] <= date_range[1])] | |
| # filtered_df['Smoothed_Rate'] = filtered_df['rate'].rolling(window=moving_av_window, min_periods=1).mean().shift() | |
| # Line chart | |
| # line_chart = alt.Chart(filtered_df).mark_line(color='red').encode( | |
| # x='timestamp:T', | |
| # y='Smoothed_Rate:Q' | |
| # ) | |
| # Scatter plot with individual polls | |
| scatter_plot = alt.Chart(filtered_df).mark_point(color='gray', size=2, opacity=0.7).encode( | |
| x='timestamp:T', | |
| y='rate:Q' | |
| ) | |
| # Put them togetehr | |
| plot = scatter_plot | |
| # Return the combined chart | |
| return plot | |
| # date_range = ('2021-04-01', '2023-01-01') | |
| # create_plot('All polls', date_range, 3) | |
| # # Create the selection widget | |
| # subgroup_widget = pn.widgets.Select(options=['All polls', 'Adults', 'Voters'], name='Subgroup') | |
| select = pn.widgets.Select(name='Select', options=['All polls', 'Adults', 'Voters']) | |
| # # Create the slider for the date range | |
| # date_range_slider = pn.widgets.DateRangeSlider(name='Date Range') | |
| # date_range_slider = pn.widgets.DateRangeSlider( | |
| # name='Date Range Slider', | |
| # start=dt.datetime(2017, 1, 1), end=dt.datetime(2019, 1, 1), | |
| # value=(dt.datetime(2017, 1, 1), dt.datetime(2018, 1, 10)), | |
| # step=2 | |
| # ) | |
| # # Create the slider for the moving average window | |
| # moving_av_slider = pn.widgets.IntSlider(name='Moving Average Window', start=1, end=10, value=3) | |
| # create_plot(subgroup_widget, date_range_slider, moving_av_slider) | |
| # Bind the widgets to the create_plot function | |
| final = pn.bind(create_plot,select) | |
| template.main.append(final) | |
| # # Combine everything in a Panel Column to create an app | |
| # app = pn.Column(subgroup_widget, date_range_slider, moving_av_slider, update_plot) | |
| # # set the app to be servable | |
| # app.servable() |