(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.
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)
Status
in (slow) development
Requirements
PyQt4 (to become optional / replaceable with PySide/PyQt5)
odo
pandas
numpy
numexpr
click
tabulate
six (perhaps to be removed)
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)
Python 3.4+
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
Supported GUI views
Table
Histogram
Scatter plot
Text view
Summary (from pandas_profiling)
Project details
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