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| import panel as pn | |
| import hvplot.pandas | |
| # Load Data | |
| from bokeh.sampledata.autompg import autompg_clean as df | |
| # Make DataFrame Pipeline Interactive | |
| idf = df.interactive() | |
| # Define Panel widgets | |
| cylinders = pn.widgets.IntSlider(name='Cylinders', start=4, end=8, step=2) | |
| mfr = pn.widgets.ToggleGroup( | |
| name='MFR', | |
| options=['ford', 'chevrolet', 'honda', 'toyota', 'audi'], | |
| value=['ford', 'chevrolet', 'honda', 'toyota', 'audi'], | |
| button_type='success') | |
| yaxis = pn.widgets.RadioButtonGroup( | |
| name='Y axis', | |
| options=['hp', 'weight'], | |
| button_type='success' | |
| ) | |
| # Combine pipeline and widgets | |
| ipipeline = ( | |
| idf[ | |
| (idf.cyl == cylinders) & | |
| (idf.mfr.isin(mfr)) | |
| ] | |
| .groupby(['origin', 'mpg'])[yaxis].mean() | |
| .to_frame() | |
| .reset_index() | |
| .sort_values(by='mpg') | |
| .reset_index(drop=True) | |
| ) | |
| # Pipe to hvplot | |
| ihvplot = ipipeline.hvplot(x='mpg', y=yaxis, by='origin', color=["#ff6f69", "#ffcc5c", "#88d8b0"], line_width=6, height=400) | |
| # Layout using Template | |
| template = pn.template.FastListTemplate( | |
| title='Interactive DataFrame Dashboards with hvplot .interactive', | |
| sidebar=[cylinders, 'Manufacturers', mfr, 'Y axis' , yaxis], | |
| main=[ihvplot.panel()], | |
| accent_base_color="#88d8b0", | |
| header_background="#88d8b0", | |
| ) | |
| template.servable() |