Скачать или смотреть "Interactive Mapmaking with Python" - Sangarshanan (PyConline AU 2020)

Sangarshanan

https://2020.pycon.org.au/program/DVV7W8

1. Introduction (2 mins)
Who am I?
Setting the expectations
1. Working with Geodataframes (5 mins)
Reading Spatial data as a GeoDataframe
The awesomeness of GeoDataframes (An overview of some of the amazing things you can do with a single line of code eg: Spatial joins, Manipulations and transformations)
Now that we has established our love for geopandas lets map geodataframes
1. Let the Mapmaking begin (10 mins)
Basic Non-Interactive maps with Geopandas and Matplotlib
Creating basic interactive maps with Folium, Plotly & Kepler (GeoJSONPlots, Clustermaps, Heatmaps, H3gridmaps)
Conforming geodataframes to a format accepted by these libraries (usually JSON or a list of lists)
Setting the right parameters for different plots
Jazzing up the maps with additional layers, custom styles, tooltips, popups, colors etc
Spatiotemporal Maps with Kepler.gl + Jupyter for handling huge datasets with ease
Can we make it any easier ?
Why can't making interactive maps be as easy as gdf.folium.plot()?
1. Enter Geopatra (8 mins)
The need for Geopatra (Could it be any Easier and Faster)
Wrapping up popular mapmaking libraries for GeoDataframes
Create interactive maps with just a single line
Future work and Discussion :)

More Info:

Normally mapping a geodataframe with folium

```
import folium
import geopandas
world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
m = folium.Map(location = [4,10], zoom_start = 3)
folium.GeoJson(world.__geo_interface__).add_to(m)
```

With Geopatra all the parameters you set with folium become optional so you don't have to care about folium

```
import geopatra
m = world.folium.plot()
```

Github: https://github.com/Sangarshanan/geopatra

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Python, PyCon, PyConAU, PyConline

Fri Sep 4 17:10:00 2020 at Curlyboi