How to use geoplot - 10 common examples

To help you get started, we’ve selected a few geoplot examples, based on popular ways it is used in public projects.

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github ResidentMario / geoplot / tests / viz_tests.py View on Github external
import numpy as np
import geopandas as gpd
from shapely.geometry import Polygon
from matplotlib.colors import Normalize
import matplotlib.pyplot as plt

from geoplot import utils
from geoplot import (
    pointplot, voronoi, kdeplot, polyplot, webmap, choropleth, cartogram, quadtree,
    sankey
)
from geoplot.crs import AlbersEqualArea, WebMercator


np.random.seed(42)
p_srs = gpd.GeoSeries(utils.gaussian_points(n=100))
p_df = gpd.GeoDataFrame(geometry=p_srs)
p_df = p_df.assign(var=p_df.geometry.map(lambda p: abs(p.y) + abs(p.x)))
p_df = p_df.assign(var_cat=np.floor(p_df['var'] // (p_df['var'].max() / 5)).astype(str))

poly_df = gpd.GeoDataFrame(geometry=utils.gaussian_polygons(p_srs.geometry, n=10))
poly_df = poly_df.assign(
    var=poly_df.geometry.centroid.x.abs() + poly_df.geometry.centroid.y.abs()
)

ls_df = gpd.GeoDataFrame(geometry=utils.gaussian_linestrings(p_srs.geometry))
ls_df = ls_df.assign(var=ls_df.geometry.centroid.x.abs() + ls_df.geometry.centroid.y.abs())

clip_geom = gpd.GeoSeries(Polygon([[-10, -10], [10, -10], [10, 10], [-10, 10]]))
non_clip_geom = gpd.GeoSeries(Polygon([[-30, -30], [30, -30], [30, 30], [-30, 30]]))

def identity_scale(minval, maxval):
github ResidentMario / geoplot / tests / viz_tests.py View on Github external
)
from geoplot.crs import AlbersEqualArea, WebMercator


np.random.seed(42)
p_srs = gpd.GeoSeries(utils.gaussian_points(n=100))
p_df = gpd.GeoDataFrame(geometry=p_srs)
p_df = p_df.assign(var=p_df.geometry.map(lambda p: abs(p.y) + abs(p.x)))
p_df = p_df.assign(var_cat=np.floor(p_df['var'] // (p_df['var'].max() / 5)).astype(str))

poly_df = gpd.GeoDataFrame(geometry=utils.gaussian_polygons(p_srs.geometry, n=10))
poly_df = poly_df.assign(
    var=poly_df.geometry.centroid.x.abs() + poly_df.geometry.centroid.y.abs()
)

ls_df = gpd.GeoDataFrame(geometry=utils.gaussian_linestrings(p_srs.geometry))
ls_df = ls_df.assign(var=ls_df.geometry.centroid.x.abs() + ls_df.geometry.centroid.y.abs())

clip_geom = gpd.GeoSeries(Polygon([[-10, -10], [10, -10], [10, 10], [-10, 10]]))
non_clip_geom = gpd.GeoSeries(Polygon([[-30, -30], [30, -30], [30, 30], [-30, 30]]))

def identity_scale(minval, maxval):
    def scalar(val):
        return 10
    return scalar


def axis_initializer(f):
    def wrapped(_self):
        try:
            f(_self)
        finally:
github ResidentMario / geoplot / tests / viz_tests.py View on Github external
from geoplot import utils
from geoplot import (
    pointplot, voronoi, kdeplot, polyplot, webmap, choropleth, cartogram, quadtree,
    sankey
)
from geoplot.crs import AlbersEqualArea, WebMercator


np.random.seed(42)
p_srs = gpd.GeoSeries(utils.gaussian_points(n=100))
p_df = gpd.GeoDataFrame(geometry=p_srs)
p_df = p_df.assign(var=p_df.geometry.map(lambda p: abs(p.y) + abs(p.x)))
p_df = p_df.assign(var_cat=np.floor(p_df['var'] // (p_df['var'].max() / 5)).astype(str))

poly_df = gpd.GeoDataFrame(geometry=utils.gaussian_polygons(p_srs.geometry, n=10))
poly_df = poly_df.assign(
    var=poly_df.geometry.centroid.x.abs() + poly_df.geometry.centroid.y.abs()
)

ls_df = gpd.GeoDataFrame(geometry=utils.gaussian_linestrings(p_srs.geometry))
ls_df = ls_df.assign(var=ls_df.geometry.centroid.x.abs() + ls_df.geometry.centroid.y.abs())

clip_geom = gpd.GeoSeries(Polygon([[-10, -10], [10, -10], [10, 10], [-10, 10]]))
non_clip_geom = gpd.GeoSeries(Polygon([[-30, -30], [30, -30], [30, 30], [-30, 30]]))

def identity_scale(minval, maxval):
    def scalar(val):
        return 10
    return scalar
github ResidentMario / geoplot / tests / mixin_tests.py View on Github external
def test_base_init(self):
        """Test the base init all plotters pass to Plot."""
        plot = Plot(self.gdf, **self.kwargs)
        assert plot.figsize == (8, 6)
        assert isinstance(plot.ax, SubplotBase)  # SO 11690597
        assert plot.extent == None
        assert plot.projection == None

        plot = Plot(self.gdf, **{**self.kwargs, **{'projection': gcrs.PlateCarree()}})
        assert plot.figsize == (8, 6)
        assert isinstance(plot.ax, GeoAxesSubplot)
        assert plot.extent == None
        assert isinstance(plot.projection, ccrs.PlateCarree)
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
    pytest.param(gcrs.TransverseMercator(central_longitude=45), marks=pytest.mark.xfail),
    pytest.param(gcrs.TransverseMercator(central_latitude=45), marks=pytest.mark.xfail),
    pytest.param(gcrs.LambertAzimuthalEqualArea(central_longitude=45), marks=pytest.mark.xfail),
    gcrs.LambertAzimuthalEqualArea(central_latitude=45),
])
def test_partially_parameterized_global_projections(proj, countries):
    gplt.polyplot(countries, proj)
    ax = plt.gca()
    ax.set_global()
    return plt.gcf()
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
    gcrs.LambertConformal(central_longitude=45, central_latitude=45),
    gcrs.Orthographic(central_longitude=45, central_latitude=45),
    gcrs.Stereographic(central_longitude=45, central_latitude=45),
    pytest.param(
        gcrs.TransverseMercator(central_longitude=45, central_latitude=45),
        marks=pytest.mark.xfail
    ),
    gcrs.LambertAzimuthalEqualArea(central_longitude=45, central_latitude=45),
])
def test_fully_parameterized_global_projections(proj, countries):
    gplt.polyplot(countries, proj)
    ax = plt.gca()
    ax.set_global()
    return plt.gcf()
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
    gcrs.Orthographic(),
    gcrs.Stereographic(),
    pytest.param(gcrs.TransverseMercator(), marks=pytest.mark.xfail),
    gcrs.LambertAzimuthalEqualArea(),
    gcrs.WebMercator()
])
def test_basic_global_projections(proj, countries):
    gplt.polyplot(countries, proj)
    ax = plt.gca()
    ax.set_global()
    return plt.gcf()
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
    gcrs.OSGB(),
])
def test_basic_non_global_projections(proj, countries):
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        gplt.polyplot(countries, proj)
    return plt.gcf()
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
    pytest.param(gcrs.Orthographic(), marks=pytest.mark.xfail),
    gcrs.Stereographic(),
    pytest.param(gcrs.TransverseMercator(), marks=pytest.mark.xfail),
    gcrs.LambertAzimuthalEqualArea(),
    gcrs.WebMercator()
])
def test_subplots_global_projections(proj, countries):
    gplt.polyplot(countries, proj, ax=plt.subplot(2, 1, 1, projection=proj)).set_global()
    gplt.polyplot(countries, proj, ax=plt.subplot(2, 1, 2, projection=proj)).set_global()
    return plt.gcf()
github ResidentMario / geoplot / tests / proj_tests.py View on Github external
def test_fully_parameterized_global_projections(proj, countries):
    gplt.polyplot(countries, proj)
    ax = plt.gca()
    ax.set_global()
    return plt.gcf()