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Merge pull request #4397 from plotly/doc-prod-v5.18.0
Doc prod v5.18.0
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Diff for: README.md

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Code released under the [MIT license](https://github.com/plotly/plotly.py/blob/master/LICENSE.txt).
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Docs released under the [Creative Commons license](https://github.com/plotly/documentation/blob/source/LICENSE).
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Diff for: doc/python/3d-surface-plots.md

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#### Surface Plot With Contours
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Display and customize contour data for each axis using the `contours` attribute ([reference](plotly.com/python/reference/surface/#surface-contours)).
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Display and customize contour data for each axis using the `contours` attribute ([reference](https://plotly.com/python/reference/surface/#surface-contours)).
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```python
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import plotly.graph_objects as go

Diff for: doc/python/tree-plots.md

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#### Set Up Tree with [igraph](http://igraph.org/python/)
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Install igraph with `pip install python-igraph`.
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Install igraph with `pip install igraph`.
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```python
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!pip install python-igraph
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!pip install igraph
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```
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```python

Diff for: doc/requirements.txt

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patsy==0.5.1
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numpy==1.19.5
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plotly-geo
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python-igraph
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igraph
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geopandas==0.8.1
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pyshp==2.1.2
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shapely==1.7.1

Diff for: doc/unconverted/python/3d-network-graph.md

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We define our graph as an `igraph.Graph` object. [Python `igraph`](http://igraph.org/python/)
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is a library for high-performance graph generation and analysis. Install the Python library with `sudo pip install python-igraph`.
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is a library for high-performance graph generation and analysis. Install the Python library with `sudo pip install igraph`.
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```python
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import igraph as ig

Diff for: doc/unconverted/python/chord-diagram.md

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We processed data provided by [Eurovision Song Contest](http://www.eurovision.tv/page/history/by-year/contest?event=2083#Scoreboard), and saved the corresponding graph in a `gml` file. Now we can read the `gml` file and define an [`igraph.Graph`](http://igraph.org/python/) object.
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Install the Python libraries with `sudo pip install python-igraph` and `sudo pip install networkx`.
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Install the Python libraries with `sudo pip install igraph` and `sudo pip install networkx`.
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```python
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import igraph as ig

Diff for: doc/unconverted/python/igraph-networkx-comparison.md

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#### Comparison
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In this tutorial we plot the same network - the coauthorship network of scientists working on network theory and experiment - first as an `igraph.Graph` object, with the Kamada-Kawai layout, and then as a `networkx.Graph`, with the Fruchterman-Reingold layout. Install the Python libraries with `sudo pip install python-igraph` and `sudo pip install networkx`.
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In this tutorial we plot the same network - the coauthorship network of scientists working on network theory and experiment - first as an `igraph.Graph` object, with the Kamada-Kawai layout, and then as a `networkx.Graph`, with the Fruchterman-Reingold layout. Install the Python libraries with `sudo pip install igraph` and `sudo pip install networkx`.
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The graph data are read from a gml file, posted at UC Irvine [Network Data Repository](http://networkdata.ics.uci.edu/data/netscience/netscience.gml):
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