(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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