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Tool for post analysis and visualisation of ASCII files from NorESM CAM diagnostics runs
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Python tool for post analysis and visualisation of NorESM CAM diagnostics files

Written and tested in Python 3


In the following, all requirement packages are listed including version specifications, for which the tools were developed.

  • pandas >= 0.23.0
  • matplotlib >= 2.2.2
  • seaborn >= 0.8.1
  • numpy >= 1.14.0


  • ipywidgets >= 7.2.1 (for interactive features -> see
  • urllib (for direct downloads of ascii tables -> see notebook download_tables.ipynb)
  • csv (for direct downloads of ascii tables -> see notebook download_tables.ipynb)

Getting started

Please clone or download the repository. Please make sure that you have all requirements installed and open the jupyter notebook app.

$ jupyter notebook

This should open the notebook app in your default browser. From there, open one of the analysis notebook tools (currently it contains only one: analysis_tool.ipynb) and follow the instructions in the introduction section.

Preparation of tables

You can download them manually or use notebook download_tables.ipynb for creating local copies of result tables (based on a list of provided URL's)

Additional source files

The tool(s) make use of additional functions and classes that can be found in the additional source files:

  • functions for I/O, processing, analysis and visualisation of tables.
  • interactive features (currently not used)

Repository structure

Python source files (.py) and notebooks (.ipynb) can be found in the top level directory. The repository contains two further directories:

config (directory)

Contains additional configuration files. Currently

  • var_groups.ini: use this file to specify groups of variables, that you want to use in the analysis notebook

  • var_info.csv: use this file to assign more intuitive short names to variable IDs.

example_data (directory)

Contains 6 example tables that are used in the post analysis notebooks for illustration purposes.

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