D-Tale 1.6.0

Highlights include:

• charts integration
  • the ability to look at data in line, bar, stacked bar & pie charts
  • the ability to group & aggregate data within the charts
• direct ipython iframes to correlations & charts pages with pre-selected inputs
• the ability to access instances from code by data id dtale.get_instance(data_id)
• view all active data instances dtale.instances()

D-Tale 1.5.1

Highlights include:

• conversion of new flask instance for each dtale.show call to serving all data associated with one parent process under the same flask instance unless otherwise specified by the user (the force parameter)

D-Tale 1.5.0

Highlights includes:

• ipython integration
  • ipython output cell adjustment
  • column-wise menu support
  • browser window popups for: Correlations, Coverage, Describe, Histogram & Instances

D-Tale 1.4.1

Highlights include:

• #32: unpin jsonschema by moving flasgger to extras_require

D-Tale 1.4.0

Highlights includes:

• Correlations Pearson Matrix filters
• "name" display in title tab
• "Heat Map" toggle
• dropped unused "Flask-Caching" requirement

D-Tale 1.3.7

• Bug fixes for:
  • #28: "Instances" menu option will now be displayed by default
  • #29: add hints to how users can navigate the correlations popup
  • add "unicode" as a string classification for column width calculation

D-Tale 1.3.6

• Bug fixes for:
  • choose between pandas.corr & numpy.corrcoef depending on presence of NaNs
  • hide timeseries correlations when date columns only contain one day

D-Tale 1.3.5

• Bug fixes for:
  • duplicate loading of histogram data
  • string serialization failing when mixing future.str & str in scatter function

D-Tale 1.3.4

Updated correlation calculation to use numpy.corrcoef for performance purposes

D-Tale 1.3.3

Hotfix for failing test under certain versions of future package