Automatic creation of rectangular highlights

📊 Plotly Python
1

So I have this data series that has a binary recession variable and I would like to create rectangular highlights, just like these: https://plot.ly/python/shapes/#highlighting-time-series-regions-with-rectangle-shapes. I am new to plotly and cannot figure out how to do this. Any tipps would be much appreciated. Thank you.

2

Hi @fkpisk welcome to the forum! What exactly can’t you adapt from the linked example to your use case?

More generally, if you are new to plotly I recommend reading through the following doc pages



and to take a quick look at https://plot.ly/python/plotly-fundamentals/ and https://plot.ly/python/#basic-charts

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3

Hi @fkpisk

For an automatic creation of rectangular shapes to highlight some time-intervals on the graph, you can define a function that returns the filled rectangle, instead of defining explicitly each shape, as in the example at the link you pasted here:

import plotly.graph_objects as go
import pandas as pd

def get_highliting_rectangle(start_date, end_date, fillcolor='blue', opacity=0.25):
    return dict(
            type="rect",
            xref="x",
            yref="paper",
            x0=start_date,
            y0=0,
            x1=end_date,
            y1=1,
            fillcolor=fillcolor,
            opacity=opacity,
            layer="below",
            line_width=0,
        )


df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')

fig = go.Figure([go.Scatter(x=df['Date'], y=df['AAPL.High'])])

shapes = []
shapes.append(get_highliting_rectangle("2015-06-25", "2015-08-03"))
shapes.append(get_highliting_rectangle("2016-01-08", "2016-02-24"))

fig.update_layout(shapes=shapes, width=700, height=450)
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