January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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plotly and cufflinks
By using cufflinks, we can use the iplot method directly on a pandas DataFrame. To create the previous plot, we used subplots (subplots=True), specified the shape of the figure (shape=(3,1)), indicated that the plots share the x-axis (shared_xaxes=True), and added the title (title='MSFT time series'). By default, the selected type of plot is a line chart (kind='line').
One note about using plotly in Jupyter—in order to share a notebook with the option to view the plot (without running the script again), you should use nbviewer or render the notebook as an HTML file and share it then.
The extra line of code cf.set_config_file(world_readable=True, theme='pearl', offline=True) sets up the configuration (such as the current ...
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