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Customize plots
Matthieu Coudron edited this page Apr 26, 2019
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From simple to hardcore:
- Mptcpanalyzer itself proposes few flags to customize plots: --title to override the default title and --style. You can set several --style at the same time, they are passed to matplotlib and as such allow for a wide Matplotlib customization.
- Some commands can export datasets to a machine readable format such as --csv/--json. Else you can look in mptcpanalyzer cache for the full csv file yourself.
- Mptcpanalyzer can automatically load (plot) plugins. See the doc.
- Your last hope is to fork the project. Have fun !