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## Quickstart
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`pip install plotly==4.4.1`
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`pip install plotly==4.5.0`
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Inside [Jupyter notebook](https://jupyter.org/install) (installable with `pip install "notebook>=5.3" "ipywidgets>=7.2"`):
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```python
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import plotly.graph_objects as go
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fig = go.Figure()
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Read about what's new in [plotly.py v4](https://medium.com/plotly/plotly-py-4-0-is-here-offline-only-express-first-displayable-anywhere-fc444e5659ee)
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## Overview
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[plotly.py](https://plot.ly/d3-js-for-python-and-pandas-charts/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:
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Built on top of [plotly.js](https://github.com/plotly/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.
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Then run the following commands to install the required JupyterLab extensions (note that this will require [`node`](https://nodejs.org/) to be installed):
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```
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# Avoid "JavaScript heap out of memory" errors during extension installation
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# (OS X/Linux)
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These dependencies can both be installed using conda:
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```
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conda install -c plotly plotly-orca psutil
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```
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Or, `psutil` can be installed using pip...
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```
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pip install psutil
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```
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and orca can be installed according to the instructions in the [orca README](https://github.com/plotly/orca).
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#### Troubleshooting
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##### Wrong Executable found
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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:
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