PyCafe - Panel - Panel Text Input Hello World

app.ipynb
app.py
app2.py
requirements.txt
app2.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import numpy as np
import pandas as pd
import panel as pn
import holoviews as hv
import hvplot.pandas

# Save the script as app.py
pn.extension('tabulator')
hv.extension('bokeh')

PRIMARY_COLOR = "#0072B5"
SECONDARY_COLOR = "#B54300"
CSV_FILE = "https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv"

pn.extension(design="material", sizing_mode="stretch_width")

@pn.cache
def get_data():
    return pd.read_csv(CSV_FILE, parse_dates=["date"], index_col="date")

data = get_data()

def transform_data(variable, window, sigma):
    """Calculates the rolling average and identifies outliers"""
    avg = data[variable].rolling(window=window).mean()
    residual = data[variable] - avg
    std = residual.rolling(window=window).std()
    outliers = np.abs(residual) > std * sigma
    return avg, avg[outliers]

def get_plot(variable="Temperature", window=30, sigma=10):
    """Plots the rolling average and the outliers"""
    avg, highlight = transform_data(variable, window, sigma)
    return avg.hvplot(
        height=300, legend=False, color=PRIMARY_COLOR
    ) * highlight.hvplot.scatter(color=SECONDARY_COLOR, padding=0.1, legend=False)

variable_widget = pn.widgets.Select(name="variable", value="Temperature", options=list(data.columns))
window_widget = pn.widgets.IntSlider(name="window", value=30, start=1, end=60)
sigma_widget = pn.widgets.IntSlider(name="sigma", value=10, start=0, end=20)

bound_plot = pn.bind(get_plot, variable=variable_widget, window=window_widget, sigma=sigma_widget)

widgets = pn.Column(variable_widget, window_widget, sigma_widget, sizing_mode="fixed", width=300)

template = pn.template.MaterialTemplate(
    site="Panel",
    title="Getting Started App",
    sidebar=[variable_widget, window_widget, sigma_widget],
    main=[bound_plot],
)

template.servable()

if __name__ == "__main__":
    pn.serve(template)
Py.Cafe

panel-text-input-hello-world

Panel Text Input Hello World
