You should know
How-to guides
Integrations and Supported Tools
API reference
Administration
Plotly
Video Walkthrough
What will you get with this integration?
​Plotly is one of the most common python graphing libraries to make interactive graphs. This integration lets you log interactive 2D and 3D charts generated in plotly to Neptune.
Introduction
This guide will show you how to:
- Initialize Neptune and create a
run, - Log
plotlycharts to Neptune.
Step 0: Before you start
Before you start, make sure that:
- You have
Python 3.7+in your system,
Install neptune-client and plotly
Depending on your operating system open a terminal or CMD and run this command. All required libraries are available via
pip and conda:pip
conda
1
pip install neptune-client plotly
Copied!
1
conda install -c conda-forge neptune-client plotly
Copied!
This integration is tested with
neptune-client==0.9.19and plotly==5.0.0.Step 1: Import and initialize neptune
neptune1
import neptune.new as neptune
2
​
3
run = neptune.init(api_token='<your_api_token>',
4
project='<your_project_name>')
Copied!
You can use the
api_token='ANONYMOUS' and project='common/plotly-support' to explore without having to create a Neptune accountTo create your own private projects, you will need a Neptune account and your personal Neptune API token.
Executing this cell will give you a link looking like:
https://app.neptune.ai/common/plotly-support/e/PLOT-2
with
common/plotly-support replaced by your project, and PLOT-2 replaced by your run.Click on the link to open the run in Neptune. For now, it is empty but keep the tab with the run open to see what happens next.
Step 2: Log Plotly figures to Neptune
Create a sample figure
1
import plotly.express as px
2
​
3
df = px.data.iris()
4
plotly_fig = px.scatter_3d(df,
5
x='sepal_length', y='sepal_width', z='petal_width',
6
color='species')
Copied!
Log interactive figure
1
run['interactive_img'].upload(neptune.types.File.as_html(plotly_fig))
Copied!
Step 3: Stop logging
Once you are done logging, you should stop tracking the run using the
stop() method. This is needed only while logging from a notebook environment. While logging through a script, Neptune automatically stops tracking once the script has completed execution.1
run.stop()
Copied!
Step 4: Explore the results in the Neptune
The images can be found in the All Metadata section:
Conclusion
You have learned how to:
- Initialize Neptune and create a
run, - Log
plotlycharts to Neptune.
What's next
Now that you know how to log charts to Neptune, you can learn:
Last modified 2mo ago
Export as PDF
Copy link