Embedding folium Maps In Jupyter Notebooks Using IPython Magic

Whilst trying to show how interactive maps can be embedded in a Jupyter notebook, one of the comments I keep backing back is that “It’s too hard” because you have to write two or three lines of code.

So I’ve tried to simplify things by wrapping the two or three lines of code up as IPython magic, which means you can use a one liner.

The code can be found in this Githib repo: psychemedia/ipython_magic_folium.

To install:

pip install git+https://github.com/psychemedia/ipython_magic_folium.git

To load the magic in a Jupyter notebook:

%load_ext folium_magic

Then call as: %folium_map

The magic currently only works as line magic.

See the folium_magic_demo.ipynb notebook for examples, or run using Binder.

Display Map

• -l, --latlong: latitude and longitude values, comma separated. If no value is provided a default location will be used;
• -z, --zoom (default=10): set initial zoom level;

Add markers

• -m, --marker: add a single marker, passed as a comma separated string with no spaces after commas; eg 52.0250,-0.7084,"My marker"

– -M,--markers: add multiple markers from a Python variable; pass in the name of a variable that refers to:
– a single dict, such as markers={'lat':52.0250, 'lng':-0.7084,'popup':'Open University, Walton Hall'}
– a single ordered list, such as markers=[52.0250, -0.7084,'Open University, Walton Hall']
– a list of dicts, such as markers=[{'lat':52.0250, 'lng':-0.7084,'popup':'Open University, Walton Hall'},{'lat':52.0, 'lng':-0.70,'popup':'Open University, Walton Hall'}]
– a list of ordered lists, such as markers=[[52.0250, -0.7084,'Open University, Walton Hall'], [52., -0.7,'Open University, Walton Hall']]

If no -l co-ordinate is set to centre the map, the co-ordinates of the single marker, or the mid-point of the multiple markers, are used instead.

Display `geojson` file

• -g, --geojson: path to a geoJSON file

If no -l co-ordinate is set to centre the map, the mid-point of the geojson boundary is used instead.

Display a Choropleth Map

A choropoleth map is displayed if enough information is provided to disaplay one.

• -g/ --geojson: path to a geoJSON file
• -d, --data: the data source, either in the form of a pandas dataframe, or the path to a csv data file
• -c, --columns: comma separated (no space after comma) column names from the data source that specify: column to match geojson key,column containing values to display
• -k, --key: key in geojson file to match areas with data values in data file;
• optional:
• -p, --palette: default='PuBuGn'
• -o, --opacity: default=0.7

For example, load data from a pandas dataframe:

Or load from a data file:

 

This is still a bit fiddly because it requires you to add lat/longs for the base map and/or markers. But this could probably be addressed (ha!) by building in a geocoder, if I can find one that’s reliable and doesn’t require a key.