It is now possible to embed Plotly Interactive visualizations on this forum:
How Voters Feel About United States of America Presidential Candidates Truthfulness
See the source for this graph.
GDP Per Capita vs Life Expectancy Across Continents
Some Math
Check this post for embedding procedure. See also labelling options.
-
- Active Topics
-
-
- by Eli 1 day ago Re: What is in Your Mind? View the latest post Replies 689 Views 275616
- by Eli 3 days ago Iran Launches Retaliatory Attack Against Israel, and Israel Retaliates by Attacking Iranian Isfahan Millitary Base View the latest post Replies 28 Views 921
- by Eli 4 days ago All in One: YouTube, TED, X, Facebook and Instagram Reels, Videos, Images and Text Posts View the latest post Replies 319 Views 10482
- by Eli 1 week ago Python Packages for Scientific Computing View the latest post Replies 8 Views 4378
- by Eli 1 week ago Dunia Yetu: Building Tanzania's Digital Future Together View the latest post Replies 5 Views 1870
- by Eli 1 week ago Russia Invades Ukraine View the latest post Replies 646 Views 211966
- by Eli 1 week ago Programmatically Move Files from One Folder to Another View the latest post Replies 6 Views 1438
- by Eli 2 weeks ago Collection of Greatest Christian Hymns of all Times View the latest post Replies 33 Views 45184
- by Eli 2 weeks ago What is Retrieval-Augmented Generation (RAG)? View the latest post Replies 2 Views 368
- by Eli 2 weeks ago Chat With ChatGPT - An Interactive Conversational AI View the latest post Replies 22 Views 25847
-
Embedding Plotly Interactive and Editable Visualizations
- Eli
- Senior Expert Member
- Reactions: 183
- Posts: 5334
- Joined: 9 years ago
- Location: Tanzania
- Has thanked: 75 times
- Been thanked: 88 times
- Contact:
3D Scatter plot with Plotly
Output:
- import plotly.express as px
- import chart_studio.plotly as py
- df = px.data.iris()
- fig = px.scatter_3d(df, x='sepal_length', y='sepal_width', z='petal_width',
- color='petal_length', size='petal_length', size_max=18,
- symbol='species', opacity=0.7)
- #tight layout
- fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
- plot_url = py.plot(fig)
Output:
0
TSSFL -- A Creative Journey Towards Infinite Possibilities!
-
- Similar Topics
- Replies
- Views
- Last post
-
- 1 Replies
- 2095 Views
-
Last post by Eli
-
- Information
-
Who is online
Users browsing this forum: No registered users and 5 guests