D-Tale 2.15.0

Highlights include:

• #490: stratified random sample in charts
• Updated sklearn column_builders to handle import failures

D-Tale 2.14.4

Highlights include:

• Added dataclasses requirement for python environments == 3.6

D-Tale 2.14.3

Highlights include:

• backwards compatability for pandas string dtype and tests

D-Tale 2.14.2

Highlights include:

• removed extraneous dependency soupsieve

D-Tale 2.14.1

Highlights include:

• update requirements to no longer pin and allow for older versions of packages
• update unit tests to allow for backwards compatibility with older versions of mock library
• update how Flask.url_for is detected rather than pinning to specific version of python

D-Tale 2.14.0

Highlights include:

• #748: update auto-generated column deletion code
• #746: editing cells while filtering
• #743: passing a list of columns to 'allow_cell_edits'
• #742: custom edit options bug
• updates for pandas 2.0.0
• bump redis & replace node-sass with sass

D-Tale 2.13.0

Highlights include:

• #685: Histogram chart builder
• #730: fix for exporting charts with multiple y-axis

D-Tale 2.12.3

Highlights include:

• Updated D-Tale streamlit startup command to have a wider exception handler for importing streamlit.server

D-Tale 2.12.2

Highlights include:

• #726: updated global_state.set_app_settings to persist updates to instance settings

D-Tale 2.12.1

Highlights include:

• #726: fix for turning off header editor using dtale.show