Sympathy for Data v1.2.4 available!


Sympathy for Data version 1.2 is a significant minor release for Sympathy for Data. It features several prominent new features, improved stability and more. It has however not been redesigned and with only a few small modifications, all existing nodes and flows should work as in 1.1.

Version 1.2.4 is a maintenance release in the 1.2 series. It improves on 1.2.3 with focus on interactive features, user interface and library improvements.


Download Sympathy for Data built for Windows:


Changes Compared to version 1.2.3

New features:

  • Added interactive, a new module which allows users to work interactively with nodes and libraries in e.g. IPython
  • Added a ‘Help’ button in all configuration GUIs

New nodes:

  • Select columns in ADAF(s) with Table(s)

Node changes:

  • Added put results in common outputs option to F(x) list nodes. Changed default of clean output to True
  • GZIP support in Export Datasources node
  • Improved support for MDF 3.3: Better handling of odd length fields. Improved support for unaligned multibytes
  • Autodetect BOM when importing utf8 encoded csv files. Other encodings already handle this
  • VJoin no longer changes the type of columns when joining float32 with a missing column. This mitigates potential space issues resulting from the unnecessary increase in size
  • VJoin of ADAF(s) now produces one single reference time
  • More nodes can be configured without data

User interface:

  • Spyder opens the node file again when editing nodes
  • Node state can no longer change after pressing cancel in a configuration gui
  • Made printing of exceptions more compact, showing only the part of the stacktrace which is relevant to users
  • Removed stacktrace from warning messages improving their readability


  • Logarithmic axes are now available
  • Axis range and scaling is now set as properties on the axis itself instead of via Scales
  • Added options for adding a colorbar and drawing bin edges in 2D histograms. (Bin edges can not be used with smoothing)
  • Logarithmic color scales can be used for the color scale of 2D histograms
  • Some default color maps are available as simple linear color scales in 2D histograms

API changes:

  • Made other_name optional in update_column for table


  • Made it possible to use scipy.weave.inline for installations with space in path
  • Added test to track the number of widgets that require data