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| import pandas as pd, panel as pn | |
| import hvplot.pandas # noqa | |
| def get_data(): | |
| df = pd.read_csv('omoku_data.csv', usecols=['Date', 'Power_time', 'Outages'], index_col='Date', parse_dates=True) | |
| day_of_week = { | |
| 0: 'Monday', | |
| 1: 'Tuesday', | |
| 2: 'Wednesday', | |
| 3: 'Thursday', | |
| 4: 'Friday', | |
| 5: 'Saturday', | |
| 6: 'Sunday' | |
| } | |
| df['Day'] = df.index.dayofweek.map(day_of_week) | |
| return df | |
| data = get_data() | |
| daily_average = data['Power_time'].mean() | |
| max_power = data['Power_time'].max() | |
| min_power = data['Power_time'].min() | |
| daily_average = data['Power_time'].mean() | |
| max_power = data['Power_time'].max() | |
| min_power = data['Power_time'].min() | |
| line_plot = data.hvplot.line(y='Power_time', ylabel='Number of hours') | |
| density_plot = data.hvplot.density('Power_time', yaxis=None, xlabel='Number of hours', xlim=(0,24)) | |
| day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] | |
| weekly_plot = data.groupby('Day', sort=False).mean().reindex(day_order).hvplot.bar(stacked=True, rot=45, ylabel='Number of hours') | |
| pn.extension(sizing_mode="stretch_width") | |
| ACCENT = "#4099da" | |
| styles = { | |
| "box-shadow": "rgba(50, 50, 93, 0.25) 0px 6px 12px -2px, rgba(0, 0, 0, 0.3) 0px 3px 7px -3px", | |
| "border-radius": "4px", | |
| "padding": "10px", | |
| } | |
| BRAND_COLOR = ACCENT | |
| BRAND_TEXT_ON_COLOR = "white" | |
| CARD_STYLE = { | |
| "box-shadow": "rgba(50, 50, 93, 0.25) 0px 6px 12px -2px, rgba(0, 0, 0, 0.3) 0px 3px 7px -3px", | |
| "padding": "10px", | |
| "border-radius": "5px" | |
| } | |
| header = pn.Row( | |
| pn.pane.Markdown( | |
| "# Omoku power supply report", styles={"color": BRAND_TEXT_ON_COLOR}, margin=(5, 20) | |
| ), | |
| styles={"background": BRAND_COLOR}, | |
| ) | |
| indicators = pn.FlexBox( | |
| pn.indicators.Number( | |
| value=daily_average, | |
| name="Average daily supply (Hrs)", | |
| format="{value:,.0f}", | |
| styles=styles | |
| ), | |
| pn.indicators.Number( | |
| value=max_power, | |
| name="Highest daily supply (Hrs)", | |
| format="{value:,.1f}", | |
| styles=styles, | |
| ), | |
| pn.indicators.Number( | |
| value=min_power, | |
| name="Lowest daily supply (Hrs)", | |
| format="{value:,.1f}", | |
| styles=styles, | |
| ), | |
| ) | |
| table = pn.widgets.Tabulator(data.head(10), sizing_mode="stretch_width", name="Table") | |
| tabs = pn.Tabs( | |
| ('Daily total', line_plot), ('Density plot', density_plot), ('Weekly average', weekly_plot), styles=styles, sizing_mode="stretch_width", height=500, margin=10 | |
| ) | |
| logo = '<img src="https://panel.pyviz.org/_static/logo_stacked.png" width=180 height=151>' | |
| text = """ This is a [Panel](https://panel.holoviz.org) dashboard that shows the number of hours of power supply in Omoku, Rivers State, Nigeria.""" | |
| template = pn.template.FastListTemplate( | |
| title="Power supply dashboard", | |
| sidebar=[logo, text], | |
| main=[pn.Column('# Data Summary', indicators, '# Sample Data', table, '# Plots', tabs, sizing_mode="stretch_both")], | |
| main_layout=None, | |
| accent=ACCENT, | |
| ) | |
| template.servable() |