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A comment on Python Data Visualization 2018: Why So Many Libraries?. Parent comment

Re:Python Data Visualization 2018: Why So Many Libraries? by minimaxir on Friday November 16, 2018 @03:37PM (#18471762)
Exporting as a CSV (e.g. pandas's to_csv) works fine, since R/ggplot2 expects tabular data.

You probably shouldn't be keeping data as pickles, for both compatibility and security reasons.

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Re:Python Data Visualization 2018: Why So Many Libraries? by dnhz on Sunday November 18, 2018 @08:36PM (#18483602)
>You probably shouldn't be keeping data as pickles, for both compatibility and security reasons

It's science research. My own simulation code and data. Some of it is hdf5, but pickle files are pretty convenient. Workflow is mainly turning data into plots. Heh, I thought I was doing alright since I'm not using textfiles.

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