diaGrabber -> read, process, plot, automate

diaGrabber is a module fully written in Python. Its main benefits are:

• no restriction to 2- or 3-dimensional problems
• handle unstructured data
• no limitation of the size of source-files
• interactive visualization of the readout of sources
• compair and connect multiple source-files (also of different file-types like plainText or libreOfficeCalc)
• fully automatable
• powerfull options to manipulate and filter values
• inter-/extrapolate between given points

some impressions:

Requirements

• Python v2.7 (the programming lanuage itself)

• pyqtgraph v.0.9.6 (for Plotting)

  • this module needs either pyQt4 or pySide to work
  • if you are using windows, install pySide (pyQt4 wont support all features)

• ooolib (to read from open-/libreOffice-calc)

• numpy/scipy (Python modules for numeric and scientific problems)

• bottleneck (superfast NaN-array-handling)

Installation

1. download and install all required modules.
2. download diaGrabber, go to its main-directory and type in a termial:

... in Linux:

sudo python setup.py install

... in Windows

• Start -> Run -> ‘cmd’

• go to you download-directory and type:

  python setup.py install

If windows doesn’t know the commend ‘python’, try this.

Use the functions of diaGrabber via:

import diaGrabber

in a Python script or shell. See the Examples to get an idea of it.

Support

• fork the code and collaborate
• post issues
• propose improvements and send quentions

Contents:

• Introduction
• Examples
  • a simple 2d-plot
  • a software-oscilloscope
  • compare different sources
  • reading source-files from multiple folders
  • reading from large files
  • working with n-dimensional problems
• The Graphical user interface
• The diaGrabber-API
  • diaGrabber.source
  • diaGrabber.source._dimension
  • Container-Classes
  • diaGrabber.source.methods
  • diaGrabber.target
  • diaGrabber.plot

Indices and tables

• Index
• Module Index
• Search Page