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(B)rowser (O)f (A)rbitrary Data - a Python GUI browser of data.

Project description

(B)rowser (O)f (A)rbitrary Data - a Python browser of data. The goal is to create a simple tool for scientists / data miners to browse and plot various data sources in one simple environment.

It’s a library, as well as a set of tools.

Most focus is placed on table-like pandas-based objects.

Concepts

  • uri - boadata tries to support odo URIs
  • data object - wrapper around basic data types (a.k.a odo.resource but with wrapper)
  • data tree - browseable that can contain nodes (some of the nodes can be data objects)
  • data conversion - between different object types
  • view - visual representation of a data objects

Executables

Run command –help to see full list of options

  • boadescribe <uri> - show basic info about a data object (in command-line)
  • boatree <uri> - list nodes in a data tree
  • boaplot <uri> <colx> <coly> - scatter plot of two columns (colx,y can be expressions like x**2, sqrt(y+2*exp(-x)) etc.)
  • boahist <uri> <col> - histogram of a column
  • boadata [<uri>] - full gui with a tree
  • boatable <uri> - show tabular representation of a dataobject (GUI)
  • boacat <uri> - print tabular representation of a dataobject (command-line)
  • boaconvert <from+> <to> - convert one data source into another
  • boaview <uri> - show a tabbed window with all available views for the dataobject

Status

  • in (slow) development

Requirements

  • PyQt4 (to become optional / replaceable with PySide/PyQt5)
  • pandas
  • numpy
  • numexpr
  • click
  • tabulate
  • blinker (perhaps to be removed)
  • h5py (optional)
  • sqlalchemy (optional)
  • pyqtgraph (to be removed)
  • matplotlib (to become optional)
  • bokeh (to become optional instead of matplotlib)
  • seaborn
  • pandas_profiling (optional - dataframe summaries)
  • datadotworld (optional - for their datasets)
  • Python 3.6+

Supported formats and sources

  • File system tree
  • HDF5
  • CSV (including web links)
  • SQL based on SqlAlchemy (sqlite supported)
  • pydataset datasets
  • seaborn datasets
  • MATLAB .fig files
  • data.world datasets/tables (that can be imported pandas dataframes)

Supported GUI views

  • Table
  • Histogram
  • Scatter / line plot
  • Text view
  • Summary (from pandas_profiling)

Project details


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