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jupyterlab-plotly
Advanced tools
Jupyter Extension for Plotly.py
See https://plot.ly/python/getting-started/ for details.
Install with jupyter labextension install plotlywidget
in JupyterLab, otherwise
just install Plotly.py and it will automatically work in Classic Notebooks.
[5.23.0] - 2024-07-23
plotly.graph_objects
module. Notable changes include:
subtitle
attribute to layout.title
to enable adding subtitles to plots [#7012]category_order
on cartesian axes [#6223],
with thanks to @acxz and @prabhathc for the contribution!ticklabelindex
for drawing the label for each minor tick n positions away from a major tick,
with thanks to @my-tien for the contribution! [#7036]ticklabelstandoff
and ticklabelshift
to cartesian axes to adjust positioning of tick labels,
with thanks to @my-tien for the contribution! [#7006]x0shift
, x1shift
, y0shift
, y1shift
to shapes to add control over positioning of shape vertices on (multi-)category axes,
with thanks to @my-tien for the contribution! [#7005]pytest
at version 8.1.1 to match.IntegerValidator
to handle extras
option to allow supporting additional keyword values. For example, 'bold' and 'normal' as well as integers as used in font weights [#4612].FAQs
The plotly Jupyter extension
The npm package jupyterlab-plotly receives a total of 11,167 weekly downloads. As such, jupyterlab-plotly popularity was classified as popular.
We found that jupyterlab-plotly demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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