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Some utils for working with python in a simple lab-like environment

Project description


pylabutils is a small, experimental python package that aims to provide some aid in the making of simple data analysis reports in a lighter, more ergonomic and more streamlined manner.

It currently offers 5 main methods (and an additional utility):

  • fit : the process of defining a function and setting up the optimization method all in one line, with added functionalities for immediate graphical representation.
  • read_data : an easy way to read your data from most table-like files and have it stored in a convenient pandas.DataFrame.
  • tex_table : prints your data into a fancy, common LaTeX table, with an added bit of customization included.
  • multisort : allows you to sort all of your data based on any of the variables stored, in case they don't all follow a monotonic progression.
  • wdir : a manager that yields a path, useful for when your data is stored externally.
  • Interval : a small class that lets you create Real number intervals, letting you check belongings using the in operator.

They all do have detailed __doc__ attributes that explain all of their arguments and keyword arguments, which you can view, and I encourage so, by using either help(<method>) or <method>.__doc__.

There are, in addition, some "private" methods that can give some functionalities that are included in some of the "main" methods, but these are not really intended for active use and do not have a detailed description accompanying them.

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