Metadata-Version: 2.1
Name: gigaanalysis
Version: 0.4.1
Summary: A toolbox for processing data that can be expressed as a
Home-page: https://github.com/alexeatscake/gigaanalysis
Author: Alex Hickey
Author-email: alexander.john.hickey@gmail.com
License: BSD 3-Clause License
Project-URL: Source Code, https://github.com/alexeatscake/gigaanalysis
Project-URL: Documentation, https://gigaanalysis.readthedocs.io/en/latest/
Keywords: magnets, SdH, dHvA, magnetic, quantum, oscillations,,superconductor, quantum oscillations, EMFL, digital lock in, bsd-3-clause
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE.txt

# gigaanalysis

version 0.4.1

This library provides a collection of classes and functions for analysing 
datasets which are of the from of one independent and one dependent 
variable. This is very common in condensed mater physics experiment and 
gigaanalysis was produced for use in high magnetic field facilities.

Documentation: https://gigaanalysis.readthedocs.io/en/latest/

##  Layout

It broken into a collection of modules for different uses

* `data` - This contains the Data class which gigaanalysis is built around. It 
also contains a few functions for common manipulations.
* `mfunc` - This contains mathematical functions that are useful to manipulate 
data objects. This is broken into four sections applying numpy ufuncs, 
making Data objects, performing FFTs, and transforming Data objects.
* `dset` - For saving, loading, and manipulating collections of Data objects which are referred to datasets.
* `fit` - For fitting forms to the data contained in Data objects.
* `parse` - Contains functions for collecting all the data contained in 
datasets together, or distribution of data into Data objects.
* `qo` - Functions and classes for analysing quantum osculations 
experiments. 
* `contour` - Class for producing contour maps from a data set, using 
Gaussian processes. 
* `htsc` - Functions which are useful for studying superconductivity. 
* `magnetism` - Functions for studying magnetism.
* `heatc` - Functions for studying heat capacity of materials.
* `diglock` - An implementation of a digital lock in.
* `highfield` - A class for processing the data from pulsed magnetic field 
facilities. 
* `const` - A few useful scientific constants in different systems of units.


## Requirements

This was developed mostly using
* python 3.7.7
* numpy 1.21.2
* pandas 1.3.4
* matplotlib 3.4.3
* h5py 2.10.0

I haven't found any problems with using newer versions of these same 
dependencies.

