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plotly.py

Latest Release
User forum
PyPI Downloads
License

Quickstart

pip install plotly==4.6.0

Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):

importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()

See the Python documentation for more examples.

Read about what's new in plotly.py v4

Overview

plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.

plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.

Contact us for consulting, dashboard development, application integration, and feature additions.

Installation

plotly.py may be installed using pip...

pip install plotly==4.6.0

or conda.

conda install -c plotly plotly=4.6.0

Jupyter Notebook Support

For use in the Jupyter Notebook, install the notebook and ipywidgets packages using pip...

pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.

conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)

For use in JupyterLab, install the jupyterlab and ipywidgets packages using pip...

pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.

conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):

# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export

plotly.py supports static image export using the to_image and write_image functions in the plotly.io package. This functionality requires the installation of the plotly orca command line utility and the psutil Python package.

These dependencies can both be installed using conda:

conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...

pip install psutil

and orca can be installed according to the instructions in the orca README.

Troubleshooting

Wrong Executable found

If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:

plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'

Extended Geo Support

Some plotly.py features rely on fairly large geographic shape files. The county choropleth figure factory is one such example. These shape files are distributed as a separate plotly-geo package. This package can be installed using pip...

pip install plotly-geo==1.0.0

or conda

conda install -c plotly plotly-geo=1.0.0

Chart Studio support

The chart-studio package can be used to upload plotly figures to Plotly's Chart Studio Cloud or On-Prem service. This package can be installed using pip...

pip install chart-studio==1.0.0

or conda

conda install -c plotly chart-studio=1.0.0

Migration

If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide

If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide

Copyright and Licenses

Code and documentation copyright 2019 Plotly, Inc.

Code released under the MIT license.

Docs released under the Creative Commons license.

About

An open-source, interactive graphing library for Python (includes Plotly Express) ✨

plot.ly/python/

Resources

Readme
MIT license

Code of conduct

Code of conduct

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
plotly.py
Latest Release
User forum
PyPI Downloads
License
Quickstart
pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
importplotly.graph_objectsasgofig=go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title='Hello Figure')
fig.show()
See the Python documentation for more examples.
Read about what's new in plotly.py v4
Overview
plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨
Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.
plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip...
pip install plotly==4.6.0

or conda.
conda install -c plotly plotly=4.6.0

Jupyter Notebook Support
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"

or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"

JupyterLab Support (Python 3.5+)
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab==1.2 "ipywidgets==7.5"

or conda.
conda install jupyterlab=1.2
conda install "ipywidgets=7.5"

Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Avoid "JavaScript heap out of memory" errors during extension installation
# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096
# (Windows)
set NODE_OPTIONS=--max-old-space-size=4096
# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.1 --no-build
# FigureWidget support
jupyter labextension install plotlywidget@4.6.0 --no-build
# and jupyterlab renderer support
jupyter labextension install jupyterlab-plotly@4.6.0 --no-build
# Build extensions (must be done to activate extensions since --no-build is used above)
jupyter lab build
# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS
# (Windows)
set NODE_OPTIONS=

Static Image Export
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil

Or, psutil can be installed using pip...
pip install psutil

and orca can be installed according to the instructions in the orca README.
Troubleshooting
Wrong Executable found
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
Extended Geo Support
Some plotly.py features rely on fairly large geographic shape files. The county
choropleth figure factory is one such example. These shape files are distributed as a
separate plotly-geo package. This package can be installed using pip...
pip install plotly-geo==1.0.0

or conda
conda install -c plotly plotly-geo=1.0.0

Chart Studio support
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0

or conda
conda install -c plotly chart-studio=1.0.0

Migration
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.
About
An open-source, interactive graphing library for Python (includes Plotly Express) ✨
plot.ly/python/
Resources
Readme
MIT license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages