8000 Merge recent docs changes back to main by LiamConnors · Pull Request #5091 · plotly/plotly.py · GitHub
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Merged
merged 18 commits into from
Mar 17, 2025
Merged

Merge recent docs changes back to main #5091

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a81e418
Adding an example showing how to put source lines or notes on the bot…
rl-utility-man Nov 13, 2024
16ebf5e
added clearer commentary and made the example robust to varying scree…
rl-utility-man Dec 21, 2024
f978ef6
Further clarified the writing
rl-utility-man Dec 23, 2024
335695c
minor writing tweaks
rl-utility-man Dec 23, 2024
a72b693
improved appearance
rl-utility-man Dec 24, 2024
64e16d7
with bgcolor in the right place
rl-utility-man Dec 24, 2024
25d9a5b
Update text-and-annotations.md
rl-utility-man Jan 19, 2025
8caa5d1
changing spelling of data frame name
rl-utility-man Jan 29, 2025
f34d4ed
removed a blank line
rl-utility-man Jan 29, 2025
0e5108b
accepting Liam's good edits
rl-utility-man Jan 29, 2025
cdc68a7
added a comment about using <br> to break up long lines
rl-utility-man Jan 29, 2025
b3a3ead
Merge branch 'doc-prod' into patch-7
LiamConnors Mar 3, 2025
6637682
Merge pull request #4873 from rl-utility-man/patch-7
LiamConnors Mar 3, 2025
9669c41
Remove app that uses Boston housing prices dataset
LiamConnors Mar 11, 2025
c2f15fa
Update doc/python/ml-pca.md
LiamConnors Mar 11, 2025
fe6681c
Update doc/python/ml-pca.md
LiamConnors Mar 11, 2025
dc84132
Merge pull request #5079 from plotly/LiamConnors-patch-3
LiamConnors Mar 12, 2025
bc826a2
Merge branch 'main' into merge-recent-changes-main
LiamConnors Mar 17, 2025
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Remove app that uses Boston housing prices dataset 
ImportError:
`load_boston` has been removed from scikit-learn since version 1.2.
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@LiamConnors
LiamConnors authored Mar 11, 2025
commit 9669c41b23fa78c91b9a28482a28b2fd52dd2473
17 changes: 0 additions & 17 deletions doc/python/ml-pca.md
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Expand Up @@ -136,23 +136,6 @@ fig.update_traces(diagonal_visible=False)
fig.show()
```

## PCA analysis in Dash

[Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.

Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with <a class="plotly-red" href="https://plotly.com/dash/">Dash Enterprise</a>.**


```python hide_code=true
from IPython.display import IFrame
snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-snippets/'
IFrame(snippet_url + 'pca-visualization', width='100%', height=1200)
```

<div style="font-size: 0.9em;"><div style="width: calc(100% - 30px); box-shadow: none; border: thin solid rgb(229, 229, 229);"><div style="padding: 5px;"><div><p><strong>Sign up for Dash Club</strong> → Free cheat sheets plus updates from Chris Parmer and Adam Schroeder delivered to your inbox every two months. Includes tips and tricks, community apps, and deep dives into the Dash architecture.
<u><a href="https://go.plotly.com/dash-club?utm_source=Dash+Club+2022&utm_medium=graphing_libraries&utm_content=inline">Join now</a></u>.</p></div></div></div></div>


## 2D PCA Scatter Plot

In the previous examples, you saw how to visualize high-dimensional PCs. In this example, we show you how to simply visualize the first two principal components of a PCA, by reducing a dataset of 4 dimensions to 2D.
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