From 686b4a78a69a83351daaac94d0152c05476015f1 Mon Sep 17 00:00:00 2001
From: yvonnefroelich <yvonne.froehlich@kit.edu>
Date: Sat, 13 Jan 2024 11:33:12 +0100
Subject: [PATCH] TESTING: Remove choropleth example

---
 examples/gallery/maps/choropleth_map.py | 57 -------------------------
 1 file changed, 57 deletions(-)
 delete mode 100644 examples/gallery/maps/choropleth_map.py

diff --git a/examples/gallery/maps/choropleth_map.py b/examples/gallery/maps/choropleth_map.py
deleted file mode 100644
index 6c43d24d3dd..00000000000
--- a/examples/gallery/maps/choropleth_map.py
+++ /dev/null
@@ -1,57 +0,0 @@
-"""
-Choropleth map
-==============
-
-The :meth:`pygmt.Figure.plot` method allows us to plot geographical data such
-as polygons which are stored in a :class:`geopandas.GeoDataFrame` object. Use
-:func:`geopandas.read_file` to load data from any supported OGR format such as
-a shapefile (.shp), GeoJSON (.geojson), geopackage (.gpkg), etc. You can also
-use a full URL pointing to your desired data source. Then, pass the
-:class:`geopandas.GeoDataFrame` as an argument to the ``data`` parameter of
-:meth:`pygmt.Figure.plot`, and style the geometry using the ``pen`` parameter.
-To fill the polygons based on a corresponding column you need to set
-``fill="+z"`` as well as select the appropriate column using the ``aspatial``
-parameter as shown in the example below.
-"""
-
-# %%
-import geopandas as gpd
-import pygmt
-
-# Read polygon data using geopandas
-gdf = gpd.read_file("https://geodacenter.github.io/data-and-lab/data/airbnb.zip")
-
-fig = pygmt.Figure()
-
-fig.basemap(
-    region=gdf.total_bounds[[0, 2, 1, 3]],
-    projection="M6c",
-    frame="+tPopulation of Chicago",
-)
-
-# The dataset contains different attributes, here we select
-# the "population" column to plot.
-
-# First, we define the colormap to fill the polygons based on
-# the "population" column.
-pygmt.makecpt(
-    cmap="acton",
-    series=[gdf["population"].min(), gdf["population"].max(), 10],
-    continuous=True,
-    reverse=True,
-)
-
-# Next, we plot the polygons and fill them using the defined colormap.
-# The target column is defined by the aspatial parameter.
-fig.plot(
-    data=gdf,
-    pen="0.3p,gray10",
-    fill="+z",
-    cmap=True,
-    aspatial="Z=population",
-)
-
-# Add colorbar legend
-fig.colorbar(frame="x+lPopulation", position="jML+o-0.5c+w3.5c/0.2c")
-
-fig.show()