2017 Release

WIZ now has better support for input all types of text files. It also features a new sine fit function. Most importantly, the windows installer is now a complete, all-in-one installer.

Initial Beta Release

WIZ

This is the initial beta release of Wiz Is Zippy - A data analysis program designed with the purpose of making operations on mid-to-large sized data sets such as slicing, fitting, fourier-transforming, and plotting with Matplotlib simple and quick, with no programming experience required. With data of a manageable size for your system, analysis is very quick and zippy, both in terms of workflow and processing speed. It has been tested with up to 1GB of raw, binary data (65 million x, y coordinates), and ran quite well, albeit slowly on the laptop it was tested on at this capacity. The possible size of data to be analyzed is limited mostly by hardware, and particularly by memory. The laptop used to develop the program contains 8GB of memory, and tended to begin to strain in the tens of millions of coordinates. Hopefully, in the future, the program will be overhauled to start using HDF5 format and out-of-core operations, which should significantly improve memory management.

The program is in a usable, albeit improvable state. Please note that the application is largely untested and in beta stages. No functionality whatsoever is guaranteed.

This release

Features

• Load data from nearly any text format, or .npy binary format
• Choose which data columns to use as x and y coordinates
• Select a slice of data to work with before plotting
• Plot in the stylish ggplot theme
• Rename and relabel graphs and axes
• Point and click ability to fit, slice, add, subtract, multiply, and divide data
• Vast array of features available through custom, user written expressions (including access to all NumPy functions!)
• Individual graphs as well as entire projects downloadable as images in .PDF, .SVG, and .PNG format
• Raw graph data downloadable in .CSV text format and .NPY binary format (readable again by WIZ, or other python programs through numpy.load)
• Savable and loadable projects
• Project templates for sets of operations usable on any data set!
• Interactive graphs
• Chain-like workflow

Known Bugs

• ESC to remove magnifier not working
• Cannot delete lines of templates

Binaries

• Currently windows (64-bit) only, with Mac and Linux (Ubuntu/Debian) support coming soon.
• Simply extract the zip, scroll to near the bottom of the folder, and double-click "WIZ.exe".
• Other platforms can clone the git repo for now.