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MarcSkovMadsen
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Parent(s):
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Update app.py
Browse files
app.py
CHANGED
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import time
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from concurrent.futures import ThreadPoolExecutor
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from contextlib import contextmanager
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import numpy as np
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import panel as pn
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import
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future = executor.submit(self._run_blocking_task)
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result = await wrap_future(future)
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self._update(result)
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@progress.increment()
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def _update(self, number):
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self.result += number
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@staticmethod
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def _run_blocking_task():
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time.sleep(np.random.randint(1, 2))
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return 5
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if pn.state.served:
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pn.extension()
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component = AsyncComponent()
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pn.template.FastListTemplate(
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site="Awesome Panel", site_url="https://awesome-panel.org", title="Async Tasks", main=[component], main_layout=None, main_max_width="400px"
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).servable()
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import panel as pn
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import pandas as pd
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import altair as alt
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import hvplot.pandas
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pn.extension("tabulator", "vega")
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ACCENT="teal"
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styles = {
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"box-shadow": "rgba(50, 50, 93, 0.25) 0px 6px 12px -2px, rgba(0, 0, 0, 0.3) 0px 3px 7px -3px",
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"border-radius": "4px",
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"padding": "10px",
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}
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image = pn.pane.JPG("https://assets.holoviz.org/panel/tutorials/wind_turbines_sunset.png")
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# Extract Data
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@pn.cache() # only download data once
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def get_data():
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return pd.read_csv("https://assets.holoviz.org/panel/tutorials/turbines.csv.gz")
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# Transform Data
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source_data = get_data()
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min_year = int(source_data["p_year"].min())
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max_year = int(source_data["p_year"].max())
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top_manufacturers = (
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source_data.groupby("t_manu").p_cap.sum().sort_values().iloc[-10:].index.to_list()
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)
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def filter_data(t_manu, year):
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data = source_data[(source_data.t_manu == t_manu) & (source_data.p_year <= year)]
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return data
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# Filters
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t_manu = pn.widgets.Select(
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name="Manufacturer",
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value="Vestas",
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options=sorted(top_manufacturers),
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description="The name of the manufacturer",
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)
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p_year = pn.widgets.IntSlider(name="Year", value=max_year, start=min_year, end=max_year)
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# Transform Data 2
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df = pn.rx(filter_data)(t_manu=t_manu, year=p_year)
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count = df.rx.len()
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total_capacity = df.t_cap.sum()
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avg_capacity = df.t_cap.mean()
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avg_rotor_diameter = df.t_rd.mean()
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# Plot Data
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fig = (
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df[["p_year", "t_cap"]].groupby("p_year").sum() / 10**6
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).hvplot.bar(
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title="Capacity Change",
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rot=90,
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ylabel="Capacity (MW)",
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xlabel="Year",
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xlim=(min_year, max_year),
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color=ACCENT,
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)
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# Display Data
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indicators = pn.FlexBox(
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pn.indicators.Number(
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value=count, name="Count", format="{value:,.0f}", styles=styles
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),
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pn.indicators.Number(
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value=total_capacity / 1e6,
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name="Total Capacity (TW)",
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format="{value:,.1f}",
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styles=styles,
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),
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pn.indicators.Number(
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value=avg_capacity/1e3,
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name="Avg. Capacity (MW)",
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format="{value:,.1f}",
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styles=styles,
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),
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pn.indicators.Number(
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value=avg_rotor_diameter,
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name="Avg. Rotor Diameter (m)",
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format="{value:,.1f}",
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styles=styles,
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),
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)
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plot = pn.pane.HoloViews(fig, sizing_mode="stretch_both", name="Plot")
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table = pn.widgets.Tabulator(df, sizing_mode="stretch_both", name="Table")
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# Layout Data
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tabs = pn.Tabs(
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plot, table, styles=styles, sizing_mode="stretch_width", height=500, margin=10
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)
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pn.template.FastListTemplate(
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title="Wind Turbine Dashboard",
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sidebar=[image, t_manu, p_year],
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main=[pn.Column(indicators, tabs, sizing_mode="stretch_both")],
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main_layout=None,
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accent=ACCENT,
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).servable()
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