dtale

Highlights include:

• Added support for ArcticDB as the storage mechanism for pandas dataframes

Highlights include:

• #759: freeze header menu option
• Updated data_id storage to use strings rather than numbers
• Fixed bug where calling 'cleanup' didn't cleanup instance name reference

Highlights include:

• tweaked requirements for older versions of python

Highlights include:

• updates to how app's _override_routes rebuilds url_map
• requirement tweaks to werkzeug

Highlights include:

• https://github.com/man-group/dtale/issues/490: stratified random sample in charts
• Updated sklearn column_builders to handle import failures

Highlights include:

• Added dataclasses requirement for python environments == 3.6

Highlights include:

• backwards compatability for pandas string dtype and tests

Highlights include:

• removed extraneous dependency soupsieve

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

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

Highlights include:

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

Highlights include:

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

Highlights include:

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

Highlights include:

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

Highlights Include:

• #726: added option to turn off header editor
• #700: export all charts in one HTML file
• #592: highlight rows of a dataframe filter
• #647: added option to auto-hide columns consisting entirely of NaN values

Highlights include:

• #659: editing cells with predefined values
• #692: updated dash to throw regular exceptions instead of 204s when in Google Colab

Highlights include:

• #719: allow NaN values in groupby
• Updated cell editor and header editor to use select dropdown on category columns
• #708: render boolean column values as checkboxes)

Highlights include:

• #709: added additional VSCode check for VSCODE_INJECTION
• #714: pushed plotly legend below x-axis labels
• #711: fix for predefined filters to return numbers to the backend when necessary
• frontend package upgrades:
  • upgraded to latest version of react
  • dropped enzyme in favor of @testing-library/react
  • upgraded chart.js

Highlights include:

• #703: fix for matplotlib imports
• #704: fix for replacing nan with zero
• #677: include row dropping in history

Highlights include:

• Added DESCRIPTION.md to MANIFEST.in