|
| 1 | +""" |
| 2 | +GeoPandas: Plotting points with Point or MultiPoint geometry |
| 3 | +============================================================ |
| 4 | +
|
| 5 | +The :meth:`pygmt.Figure.plot` method allows us to plot geographical data such as points |
| 6 | +with Point or MultiPoint geometry types stored in a :class:`geopandas.GeoDataFrame` |
| 7 | +object. Use :func:`geopandas.read_file` to load data from any supported OGR format such |
| 8 | +as a shapefile (.shp), GeoJSON (.geojson), geopackage (.gpkg), etc. Then, pass the |
| 9 | +:class:`geopandas.GeoDataFrame` object as an argument to the ``data`` parameter of |
| 10 | +:meth:`pygmt.Figure.plot`, and style the points using the ``fill`` and ``pen`` |
| 11 | +parameters. Additionally, pass suitable columns of the :class:`geopandas.GeoDataFrame` |
| 12 | +to the ``x``, ``y``, and ``text`` parameters of the :meth:`pygmt.Figure.text` method |
| 13 | +to label specific features. |
| 14 | +""" |
| 15 | + |
| 16 | +# %% |
| 17 | +import geopandas as gpd |
| 18 | +import pygmt |
| 19 | + |
| 20 | +# Read a sample dataset provided by Natural Earth. The dataset contains cities stored |
| 21 | +# as Point geometry type. In this example we focus on Europe. |
| 22 | +provider = "https://naciscdn.org/naturalearth" |
| 23 | +cities = gpd.read_file(f"{provider}/50m/cultural/ne_50m_populated_places_simple.zip") |
| 24 | +cities = cities[cities["name"] != "Vatican City"].copy() # No overlap with label Rome |
| 25 | +# Create two subsets for small and large cities |
| 26 | +cities_small = cities[cities["worldcity"] != 1].copy() |
| 27 | +cities_large = cities[cities["worldcity"] == 1].copy() |
| 28 | + |
| 29 | +fig = pygmt.Figure() |
| 30 | +fig.basemap(region=[-10, 32.7, 37, 57], projection="M12c", frame=True) |
| 31 | +fig.coast(land="gray95", shorelines="1/0.3p,gray50") |
| 32 | + |
| 33 | +# Plot the two subsets using squares with different sizes and fills. |
| 34 | +fig.plot(data=cities_small, style="s0.1c", fill="lightgray", pen="0.5p") |
| 35 | +fig.plot(data=cities_large, style="s0.15c", fill="darkorange", pen="0.5p") |
| 36 | + |
| 37 | +# Label the larger cities with their names. |
| 38 | +fig.text( |
| 39 | + x=cities_large.geometry.x, |
| 40 | + y=cities_large.geometry.y, |
| 41 | + text=cities_large["name"], |
| 42 | + offset="0.12c", |
| 43 | + justify="BL", |
| 44 | + font="6p,Helvetica-Bold", |
| 45 | + fill="white@30", |
| 46 | + pen="0.5p,darkorange", |
| 47 | + clearance="0.05c+tO", |
| 48 | +) |
| 49 | + |
| 50 | +fig.show() |
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