plotly v4.9.0 Release Notes
Release Date: 2020-07-16 // over 3 years ago-
➕ Added
- Added image export support using Kaleido. The image export backend can be configured using the new
engine
argument toplotly.io.to_image
andplotly.io.write_image
. Theengine
argument may be set to"kaleido"
,"orca"
, or"auto"
. The default isengine="auto"
, in which case the Kaleido backend is enabled if thekaleido
package from PyPI is installed, otherwise Orca is used. (#2613). plotly.express.timeline()
added as an official alternative toplotly.figure_factories.create_gantt()
(#2626)create_hexbin_mapbox()
added to Figure Factories, with thanks to @RenaudLN for the impressive contribution!facet_row_spacing
andfacet_col_spacing
added to Plotly Express cartesian 2d functions (#2614)base
added to Plotly Expressbar
andbar_polar
functions (#2626)px.NO_COLOR
constant to override wide-form color assignment in Plotly Express (#2614)
🛠 Fixed
- trendline traces are now of type
scattergl
whenrender_mode="webgl"
in Plotly Express (#2614) - regression from 4.8.1 whereby
"parent"
was not accepted as part ofpath
forpx.sunburst()
andpx.treemap()
(#2640) create_dendrogram()
figure factory now works correctly withscipy
1.5.1 (#2627)
⚡️ Updated
- ⚡️ Updated Plotly.js to version 1.54.6. See the plotly.js CHANGELOG for more information.
- ➕ Added all cartesian-2d Plotly Express functions, plus
imshow
, to Pandas backend withkind
option (#2541) - 0️⃣
plotly.express.imshow
now uses data frame index and columns names and values to populate axis parameters by default (#2539) - ⚡️ Javascript extensions are now build using Node 12, and have an updated
package-lock.json
with many fewer security warnings (#2636)
- Added image export support using Kaleido. The image export backend can be configured using the new