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Utilities for working with experimental fluid mechanics datasets

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swimpy

A set of Python utilities for working with experimental fluid mechanics data

Requirements

  • numpy
  • matplotlib
  • scikit-image

Parts of the package may not work if the following are not installed

  • scikit-learn
  • multiprocessing
  • openpiv-python

Installation

Install directly from GitHub using

pip install git+git://github.com/williamgilpin/swimpy

Structure

  • boundary_contour_tools contains functions for interpolating a velocity field onto a segmented boundary
  • process_images contains various utilities for working with experimental images
  • process_vfields contains various utilities for working with velocity data sets generated by PIV
  • piv_series_tools contains various utilities for working with directories of velocity data associated with discrete images in an experimental time series
  • time_series_tools contains various utilities for working with directories of experimental data
  • swimpy.plt_fmt contains various helper functions for plotting and manipulating graphs and images

Development

The structure of this code will be refined until the 1.0 release is complete

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Utilities for working with experimental fluid mechanics datasets

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