plotly/plotly.py v4.10.0

v4.10.0 - date-axis improvements, a Faster px.imshow() and Full Figures for Development

on GitHub

See the full announcement at https://community.plotly.com/t/announcing-plotly-py-4-10-date-axis-improvements-a-faster-px-imshow-and-full-figures-for-development/44685

Added

• Added plotly.io.full_figure_for_development() and plotly.graph_objects.Figure.full_figure_for_development() (#2737)

Updated

• Updated Plotly.js to version 1.55.2. See the plotly.js CHANGELOG for more information. These changes are reflected in the auto-generated plotly.graph_objects module.
• px.imshow has a new binary_string boolean argument, which passes the
  image data as a b64 binary string when True. Using binary strings allow for
  faster image rendering and smaller figure size. Additional optional arguments
  binary_backend, binary_format and binary_compression_level control
  how to generate the b64 string (#2691
• px.imshow has a new constrast_rescaling argument in order to choose how
  to set data values corresponding to the bounds of the color range
  (#2691

Fixed

• Plotly Express no longer converts datetime columns of input dataframes to UTC (#2749)
• Plotly Express has more complete support for datetimes as additional hover_data (#2749)
• Histogram selection behaviour with FigureWidget (#2711) with thanks to @meffmadd
• Behaviour of full_html() with html=False (#2469) with thanks to @tallamjr
• ff.distplot() now only computes traces that will be shown (#2730) with thanks to @akbo
• Pandas backend .hist() works with latest version of Pandas (#2713) with thanks to @Kerybas