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pip install plotly==4.6.0
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
import plotly.graph_objects as go
fig = 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
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.
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- Online Documentation
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- New! Announcing Dash 1.0
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plotly.py may be installed using pip...
pip install plotly==4.6.0
or conda.
conda install -c plotly plotly=4.6.0
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"