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Remember to pick up groceries on you way home. Tonight is “breakfast\nfor dinner” and we’re having French Toast! \n
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Hi there,
+ Here's a quick look at 10 sequential days from the S&P 500. The table background color reflects whether the closing price increased (green) or decreased (red) over the period.
Thanks for reading!
Best regards,
Jules
Hi there,
+ Here’s a quick look at the latest data from the S&P 500. Explore the table below to see some of the most recent entries and get a feel for the market’s pulse.
Thanks for reading!
Best regards,
Jules
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Hello, this is a test email with text, a plot, an image, and a table.
" + +# Simple plot with plotnine +df = pd.DataFrame({'x': [1, 2, 3], 'y': [3, 2, 1]}) +p = ggplot(df, aes('x', 'y')) + geom_point() + labs(title="A Simple Plot") + +buf = BytesIO() +p.save(buf, format='png') +buf.seek(0) +plot_bytes = buf.read() + +plot_html = '| Year | -Name | -Country | -Manufacturer | -Panels | -
|---|---|---|---|---|
| 1950 | -Duplo T | -Brazil | -Superball | -12 | -
| 1954 | -Swiss World Champ | -Switzerland | -Kost Sport | -18 | -
| 1958 | -Top Star | -Sweden | -Sydlader AB | -24 | -
| 1962 | -Crack | -Chile | -Curtiembres Salvador Caussade | -18 | -
| 1966 | -Challenge 4-Star | -England | -Slazenger | -25 | -
| 1970 | -Telstar | -Mexico | -Adidas | -32 | -
![](\"cid:img1.png\")