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Add gallery example showing usage of line objects from a geopandas.GeoDataFrame #1474

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43 changes: 43 additions & 0 deletions examples/gallery/lines/roads.py
Original file line number Diff line number Diff line change
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"""
Roads
-----
The :meth:`pygmt.Figure.plot` method allows us to plot geographical data such
as lines 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. Then, pass the
:class:`geopandas.GeoDataFrame` as an argument to the ``data`` parameter in
:meth:`pygmt.Figure.plot`, and style the geometry using the ``pen`` parameter.
"""

import geopandas as gpd
import pygmt

# Read shapefile data using geopandas
gdf = gpd.read_file(
"http://www2.census.gov/geo/tiger/TIGER2015/PRISECROADS/tl_2015_15_prisecroads.zip"
)
# The dataset contains different road types listed in the RTTYP column,
# here we select the following ones to plot:
roads_common = gdf[gdf.RTTYP == "M"] # Common name roads
roads_state = gdf[gdf.RTTYP == "S"] # State recognized roads
roads_interstate = gdf[gdf.RTTYP == "I"] # Interstate roads

fig = pygmt.Figure()

# Define target region around O'ahu (Hawai'i)
region = [-158.3, -157.6, 21.2, 21.75] # xmin, xmax, ymin, ymax

title = r"Main roads of O\047ahu (Hawai\047i)" # \047 is octal code for '
fig.basemap(region=region, projection="M12c", frame=["af", f'WSne+t"{title}"'])
fig.coast(land="gray", water="dodgerblue4", shorelines="1p,black")

# Plot the individual road types with different pen settings and assign labels
# which are displayed in the legend
fig.plot(data=roads_common, pen="5p,dodgerblue", label="CommonName")
fig.plot(data=roads_state, pen="2p,gold", label="StateRecognized")
fig.plot(data=roads_interstate, pen="2p,red", label="Interstate")

# Add legend
fig.legend()

fig.show()