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4 changes: 2 additions & 2 deletions doc/python/tree-plots.md
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Expand Up @@ -35,10 +35,10 @@ jupyter:

#### Set Up Tree with [igraph](http://igraph.org/python/)

Install igraph with `pip install python-igraph`.
Install igraph with `pip install igraph`.

```python
!pip install python-igraph
!pip install igraph
```

```python
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2 changes: 1 addition & 1 deletion doc/requirements.txt
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Expand Up @@ -10,7 +10,7 @@ scipy==1.3.1
patsy==0.5.1
numpy==1.19.5
plotly-geo
python-igraph
igraph
geopandas==0.8.1
pyshp==2.1.2
shapely==1.7.1
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2 changes: 1 addition & 1 deletion doc/unconverted/python/3d-network-graph.md
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Expand Up @@ -33,7 +33,7 @@ Plotly's Python library is free and open source! [Get started](https://plot.ly/p


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

```python
import igraph as ig
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2 changes: 1 addition & 1 deletion doc/unconverted/python/chord-diagram.md
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Expand Up @@ -55,7 +55,7 @@ Namely, if the distance(`V[i], V[j]`), belongs to the $K^{th}$ interval associat

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.

Install the Python libraries with `sudo pip install python-igraph` and `sudo pip install networkx`.
Install the Python libraries with `sudo pip install igraph` and `sudo pip install networkx`.

```python
import igraph as ig
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2 changes: 1 addition & 1 deletion doc/unconverted/python/igraph-networkx-comparison.md
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Expand Up @@ -31,7 +31,7 @@ Plotly's Python library is free and open source! [Get started](https://plot.ly/p


#### Comparison
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`.
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`.

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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