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DOC: add data source to csv
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examples/showcase/stock_prices.py

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.. redirect-from:: /gallery/showcase/bachelors_degrees_by_gender
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A graph of multiple time series that demonstrates custom
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styling of plot frame, tick lines, tick labels, and line graph properties.
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A graph of multiple time series that demonstrates custom styling of plot frame,
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tick lines, tick labels, and line graph properties. It also uses custom
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placement of text labels along the right edge as an alternative to a
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conventional legend.
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Also demonstrates the custom placement of text labels along the right edge
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as an alternative to a conventional legend.
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Note: The third-party mpl style dufte_ produces similar-looking plots with
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less code.
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Note: The third-party mpl style dufte_ produces similar-looking plots with less
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code.
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.. _dufte: https://github.com/nschloe/dufte
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"""
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fname = get_sample_data('Stocks.csv', asfileobj=False)
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stock_data = np.genfromtxt(fname, encoding='utf-8', delimiter=',',
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names=True, dtype=None, converters={0: convertdate})
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names=True, dtype=None, converters={0: convertdate},
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skip_header=1)
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fig, ax = plt.subplots(1, 1, figsize=(6, 8), layout='constrained')

lib/matplotlib/mpl-data/sample_data/Stocks.csv

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# Data source: https://finance.yahoo.com
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Date,IBM,AAPL,MSFT,XRX,AMZN,DELL,GOOGL,ADBE,^GSPC,^IXIC
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1990-01-01,10.970438003540039,0.24251236021518707,0.40375930070877075,11.202081680297852,,,,1.379060983657837,329.0799865722656,415.79998779296875
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1990-02-01,11.554415702819824,0.24251236021518707,0.43104037642478943,10.39472484588623,,,,1.7790844440460205,331.8900146484375,425.79998779296875

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