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explore.py
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explore.py
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from statistics import mean
import geopandas
from shapely.geometry import LineString
import numpy as np
import pandas as pd
from packaging.version import Version
_MAP_KWARGS = [
"location",
"prefer_canvas",
"no_touch",
"disable_3d",
"png_enabled",
"zoom_control",
"crs",
"zoom_start",
"left",
"top",
"position",
"min_zoom",
"max_zoom",
"min_lat",
"max_lat",
"min_lon",
"max_lon",
"max_bounds",
]
def _explore(
df,
column=None,
cmap=None,
color=None,
m=None,
tiles="OpenStreetMap",
attr=None,
tooltip=True,
popup=False,
highlight=True,
categorical=False,
legend=True,
scheme=None,
k=5,
vmin=None,
vmax=None,
width="100%",
height="100%",
categories=None,
classification_kwds=None,
control_scale=True,
marker_type=None,
marker_kwds={},
style_kwds={},
highlight_kwds={},
missing_kwds={},
tooltip_kwds={},
popup_kwds={},
legend_kwds={},
map_kwds={},
**kwargs,
):
"""Interactive map based on GeoPandas and folium/leaflet.js
Generate an interactive leaflet map based on :class:`~geopandas.GeoDataFrame`
Parameters
----------
column : str, np.array, pd.Series (default None)
The name of the dataframe column, :class:`numpy.array`,
or :class:`pandas.Series` to be plotted. If :class:`numpy.array` or
:class:`pandas.Series` are used then it must have same length as dataframe.
cmap : str, matplotlib.Colormap, branca.colormap or function (default None)
The name of a colormap recognized by ``matplotlib``, a list-like of colors,
:class:`matplotlib.colors.Colormap`, a :class:`branca.colormap.ColorMap` or
function that returns a named color or hex based on the column
value, e.g.::
def my_colormap(value): # scalar value defined in 'column'
if value > 1:
return "green"
return "red"
color : str, array-like (default None)
Named color or a list-like of colors (named or hex).
m : folium.Map (default None)
Existing map instance on which to draw the plot.
tiles : str, xyzservices.TileProvider (default 'OpenStreetMap Mapnik')
Map tileset to use. Can choose from the list supported by folium, query a
:class:`xyzservices.TileProvider` by a name from ``xyzservices.providers``,
pass :class:`xyzservices.TileProvider` object or pass custom XYZ URL.
The current list of built-in providers (when ``xyzservices`` is not available):
``["OpenStreetMap", "CartoDB positron", “CartoDB dark_matter"]``
You can pass a custom tileset to Folium by passing a Leaflet-style URL
to the tiles parameter: ``http://{s}.yourtiles.com/{z}/{x}/{y}.png``.
Be sure to check their terms and conditions and to provide attribution with
the ``attr`` keyword.
attr : str (default None)
Map tile attribution; only required if passing custom tile URL.
tooltip : bool, str, int, list (default True)
Display GeoDataFrame attributes when hovering over the object.
``True`` includes all columns. ``False`` removes tooltip. Pass string or list of
strings to specify a column(s). Integer specifies first n columns to be
included. Defaults to ``True``.
popup : bool, str, int, list (default False)
Input GeoDataFrame attributes for object displayed when clicking.
``True`` includes all columns. ``False`` removes popup. Pass string or list of
strings to specify a column(s). Integer specifies first n columns to be
included. Defaults to ``False``.
highlight : bool (default True)
Enable highlight functionality when hovering over a geometry.
categorical : bool (default False)
If ``False``, ``cmap`` will reflect numerical values of the
column being plotted. For non-numerical columns, this
will be set to True.
legend : bool (default True)
Plot a legend in choropleth plots.
Ignored if no ``column`` is given.
scheme : str (default None)
Name of a choropleth classification scheme (requires ``mapclassify`` >= 2.4.0).
A :func:`mapclassify.classify` will be used
under the hood. Supported are all schemes provided by ``mapclassify`` (e.g.
``'BoxPlot'``, ``'EqualInterval'``, ``'FisherJenks'``, ``'FisherJenksSampled'``,
``'HeadTailBreaks'``, ``'JenksCaspall'``, ``'JenksCaspallForced'``,
``'JenksCaspallSampled'``, ``'MaxP'``, ``'MaximumBreaks'``,
``'NaturalBreaks'``, ``'Quantiles'``, ``'Percentiles'``, ``'StdMean'``,
``'UserDefined'``). Arguments can be passed in ``classification_kwds``.
k : int (default 5)
Number of classes
vmin : None or float (default None)
Minimum value of ``cmap``. If ``None``, the minimum data value
in the column to be plotted is used.
vmax : None or float (default None)
Maximum value of ``cmap``. If ``None``, the maximum data value
in the column to be plotted is used.
width : pixel int or percentage string (default: '100%')
Width of the folium :class:`~folium.folium.Map`. If the argument
m is given explicitly, width is ignored.
height : pixel int or percentage string (default: '100%')
Height of the folium :class:`~folium.folium.Map`. If the argument
m is given explicitly, height is ignored.
categories : list-like
Ordered list-like object of categories to be used for categorical plot.
classification_kwds : dict (default None)
Keyword arguments to pass to mapclassify
control_scale : bool, (default True)
Whether to add a control scale on the map.
marker_type : str, folium.Circle, folium.CircleMarker, folium.Marker (default None)
Allowed string options are ('marker', 'circle', 'circle_marker'). Defaults to
folium.CircleMarker.
marker_kwds: dict (default {})
Additional keywords to be passed to the selected ``marker_type``, e.g.:
radius : float (default 2 for ``circle_marker`` and 50 for ``circle``))
Radius of the circle, in meters (for ``circle``) or pixels
(for ``circle_marker``).
fill : bool (default True)
Whether to fill the ``circle`` or ``circle_marker`` with color.
icon : folium.map.Icon
the :class:`folium.map.Icon` object to use to render the marker.
draggable : bool (default False)
Set to True to be able to drag the marker around the map.
style_kwds : dict (default {})
Additional style to be passed to folium ``style_function``:
stroke : bool (default True)
Whether to draw stroke along the path. Set it to ``False`` to
disable borders on polygons or circles.
color : str
Stroke color
weight : int
Stroke width in pixels
opacity : float (default 1.0)
Stroke opacity
fill : boolean (default True)
Whether to fill the path with color. Set it to ``False`` to
disable filling on polygons or circles.
fillColor : str
Fill color. Defaults to the value of the color option
fillOpacity : float (default 0.5)
Fill opacity.
style_function : callable
Function mapping a GeoJson Feature to a style ``dict``.
* Style properties :func:`folium.vector_layers.path_options`
* GeoJson features :class:`GeoDataFrame.__geo_interface__`
e.g.::
lambda x: {"color":"red" if x["properties"]["gdp_md_est"]<10**6
else "blue"}
Plus all supported by :func:`folium.vector_layers.path_options`. See the
documentation of :class:`folium.features.GeoJson` for details.
highlight_kwds : dict (default {})
Style to be passed to folium highlight_function. Uses the same keywords
as ``style_kwds``. When empty, defaults to ``{"fillOpacity": 0.75}``.
tooltip_kwds : dict (default {})
Additional keywords to be passed to :class:`folium.features.GeoJsonTooltip`,
e.g. ``aliases``, ``labels``, or ``sticky``.
popup_kwds : dict (default {})
Additional keywords to be passed to :class:`folium.features.GeoJsonPopup`,
e.g. ``aliases`` or ``labels``.
legend_kwds : dict (default {})
Additional keywords to be passed to the legend.
Currently supported customisation:
caption : string
Custom caption of the legend. Defaults to the column name.
Additional accepted keywords when ``scheme`` is specified:
colorbar : bool (default True)
An option to control the style of the legend. If True, continuous
colorbar will be used. If False, categorical legend will be used for bins.
scale : bool (default True)
Scale bins along the colorbar axis according to the bin edges (True)
or use the equal length for each bin (False)
fmt : string (default "{:.2f}")
A formatting specification for the bin edges of the classes in the
legend. For example, to have no decimals: ``{"fmt": "{:.0f}"}``. Applies
if ``colorbar=False``.
labels : list-like
A list of legend labels to override the auto-generated labels.
Needs to have the same number of elements as the number of
classes (`k`). Applies if ``colorbar=False``.
interval : boolean (default False)
An option to control brackets from mapclassify legend.
If True, open/closed interval brackets are shown in the legend.
Applies if ``colorbar=False``.
max_labels : int, default 10
Maximum number of colorbar tick labels (requires branca>=0.5.0)
map_kwds : dict (default {})
Additional keywords to be passed to folium :class:`~folium.folium.Map`,
e.g. ``dragging``, or ``scrollWheelZoom``.
**kwargs : dict
Additional options to be passed on to the folium object.
Returns
-------
m : folium.folium.Map
folium :class:`~folium.folium.Map` instance
Examples
--------
>>> import geodatasets
>>> df = geopandas.read_file(
... geodatasets.get_path("geoda.chicago_health")
... )
>>> df.head(2) # doctest: +SKIP
ComAreaID ... geometry
0 35 ... POLYGON ((-87.60914 41.84469, -87.60915 41.844...
1 36 ... POLYGON ((-87.59215 41.81693, -87.59231 41.816...
[2 rows x 87 columns]
>>> df.explore("Pop2012", cmap="Blues") # doctest: +SKIP
"""
def _colormap_helper(_cmap, n_resample=None, idx=None):
"""Helper for MPL deprecation - GH#2596"""
if not n_resample:
return cm.get_cmap(_cmap)
else:
if MPL_361:
return cm.get_cmap(_cmap).resampled(n_resample)(idx)
else:
return cm.get_cmap(_cmap, n_resample)(idx)
try:
import branca as bc
import folium
import re
import matplotlib
from matplotlib import colors
import matplotlib.pyplot as plt
from mapclassify import classify
# isolate MPL version - GH#2596
MPL_361 = Version(matplotlib.__version__) >= Version("3.6.1")
if MPL_361:
from matplotlib import colormaps as cm
else:
from matplotlib import cm
except (ImportError, ModuleNotFoundError):
raise ImportError(
"The 'folium', 'matplotlib' and 'mapclassify' packages are required for "
"'explore()'. You can install them using "
"'conda install -c conda-forge folium matplotlib mapclassify' "
"or 'pip install folium matplotlib mapclassify'."
)
# xyservices is an optional dependency
try:
import xyzservices
HAS_XYZSERVICES = True
except (ImportError, ModuleNotFoundError):
HAS_XYZSERVICES = False
gdf = df.copy()
# convert LinearRing to LineString
rings_mask = df.geom_type == "LinearRing"
if rings_mask.any():
gdf.geometry[rings_mask] = gdf.geometry[rings_mask].apply(
lambda g: LineString(g)
)
if gdf.crs is None:
kwargs["crs"] = "Simple"
tiles = None
elif not gdf.crs.equals(4326):
gdf = gdf.to_crs(4326)
# create folium.Map object
if m is None:
# Get bounds to specify location and map extent
bounds = gdf.total_bounds
location = kwargs.pop("location", None)
if location is None:
x = mean([bounds[0], bounds[2]])
y = mean([bounds[1], bounds[3]])
location = (y, x)
if "zoom_start" in kwargs.keys():
fit = False
else:
fit = True
else:
fit = False
# get a subset of kwargs to be passed to folium.Map
for i in _MAP_KWARGS:
if i in map_kwds:
raise ValueError(
f"'{i}' cannot be specified in 'map_kwds'. "
f"Use the '{i}={map_kwds[i]}' argument instead."
)
map_kwds = {
**map_kwds,
**{i: kwargs[i] for i in kwargs.keys() if i in _MAP_KWARGS},
}
if HAS_XYZSERVICES:
# match provider name string to xyzservices.TileProvider
if isinstance(tiles, str):
try:
tiles = xyzservices.providers.query_name(tiles)
except ValueError:
pass
if isinstance(tiles, xyzservices.TileProvider):
attr = attr if attr else tiles.html_attribution
if "min_zoom" not in map_kwds:
map_kwds["min_zoom"] = tiles.get("min_zoom", 0)
if "max_zoom" not in map_kwds:
map_kwds["max_zoom"] = tiles.get("max_zoom", 18)
tiles = tiles.build_url(scale_factor="{r}")
m = folium.Map(
location=location,
control_scale=control_scale,
tiles=tiles,
attr=attr,
width=width,
height=height,
**map_kwds,
)
# fit bounds to get a proper zoom level
if fit:
m.fit_bounds([[bounds[1], bounds[0]], [bounds[3], bounds[2]]])
for map_kwd in _MAP_KWARGS:
kwargs.pop(map_kwd, None)
nan_idx = None
if column is not None:
if pd.api.types.is_list_like(column):
if len(column) != gdf.shape[0]:
raise ValueError(
"The GeoDataFrame and given column have different number of rows."
)
else:
column_name = "__plottable_column"
gdf[column_name] = column
column = column_name
elif isinstance(gdf[column].dtype, pd.CategoricalDtype):
if categories is not None:
raise ValueError(
"Cannot specify 'categories' when column has categorical dtype"
)
categorical = True
elif (
pd.api.types.is_object_dtype(gdf[column])
or pd.api.types.is_bool_dtype(gdf[column])
or pd.api.types.is_string_dtype(gdf[column])
or categories
):
categorical = True
nan_idx = pd.isna(gdf[column])
if categorical:
cat = pd.Categorical(gdf[column][~nan_idx], categories=categories)
N = len(cat.categories)
cmap = cmap if cmap else "tab20"
# colormap exists in matplotlib
if cmap in plt.colormaps():
color = np.apply_along_axis(
colors.to_hex,
1,
_colormap_helper(cmap, n_resample=N, idx=cat.codes),
)
legend_colors = np.apply_along_axis(
colors.to_hex, 1, _colormap_helper(cmap, n_resample=N, idx=range(N))
)
# colormap is matplotlib.Colormap
elif isinstance(cmap, colors.Colormap):
color = np.apply_along_axis(colors.to_hex, 1, cmap(cat.codes))
legend_colors = np.apply_along_axis(colors.to_hex, 1, cmap(range(N)))
# custom list of colors
elif pd.api.types.is_list_like(cmap):
if N > len(cmap):
cmap = cmap * (N // len(cmap) + 1)
color = np.take(cmap, cat.codes)
legend_colors = np.take(cmap, range(N))
else:
raise ValueError(
"'cmap' is invalid. For categorical plots, pass either valid "
"named matplotlib colormap or a list-like of colors."
)
elif callable(cmap):
# List of colors based on Branca colormaps or self-defined functions
color = [cmap(x) for x in df[column]]
else:
vmin = gdf[column].min() if vmin is None else vmin
vmax = gdf[column].max() if vmax is None else vmax
# get bins
if scheme is not None:
if classification_kwds is None:
classification_kwds = {}
if "k" not in classification_kwds:
classification_kwds["k"] = k
binning = classify(
np.asarray(gdf[column][~nan_idx]), scheme, **classification_kwds
)
color = np.apply_along_axis(
colors.to_hex,
1,
_colormap_helper(cmap, n_resample=binning.k, idx=binning.yb),
)
else:
bins = np.linspace(vmin, vmax, 257)[1:]
binning = classify(
np.asarray(gdf[column][~nan_idx]), "UserDefined", bins=bins
)
color = np.apply_along_axis(
colors.to_hex,
1,
_colormap_helper(cmap, n_resample=256, idx=binning.yb),
)
# set default style
if "fillOpacity" not in style_kwds:
style_kwds["fillOpacity"] = 0.5
if "weight" not in style_kwds:
style_kwds["weight"] = 2
if "style_function" in style_kwds:
style_kwds_function = style_kwds["style_function"]
if not callable(style_kwds_function):
raise ValueError("'style_function' has to be a callable")
style_kwds.pop("style_function")
else:
def _no_style(x):
return {}
style_kwds_function = _no_style
# specify color
if color is not None:
if (
isinstance(color, str)
and isinstance(gdf, geopandas.GeoDataFrame)
and color in gdf.columns
): # use existing column
def _style_color(x):
base_style = {
"fillColor": x["properties"][color],
**style_kwds,
}
return {
**base_style,
**style_kwds_function(x),
}
style_function = _style_color
else: # assign new column
if isinstance(gdf, geopandas.GeoSeries):
gdf = geopandas.GeoDataFrame(geometry=gdf)
if nan_idx is not None and nan_idx.any():
nan_color = missing_kwds.pop("color", None)
gdf["__folium_color"] = nan_color
gdf.loc[~nan_idx, "__folium_color"] = color
else:
gdf["__folium_color"] = color
stroke_color = style_kwds.pop("color", None)
if not stroke_color:
def _style_column(x):
base_style = {
"fillColor": x["properties"]["__folium_color"],
"color": x["properties"]["__folium_color"],
**style_kwds,
}
return {
**base_style,
**style_kwds_function(x),
}
style_function = _style_column
else:
def _style_stroke(x):
base_style = {
"fillColor": x["properties"]["__folium_color"],
"color": stroke_color,
**style_kwds,
}
return {
**base_style,
**style_kwds_function(x),
}
style_function = _style_stroke
else: # use folium default
def _style_default(x):
return {**style_kwds, **style_kwds_function(x)}
style_function = _style_default
if highlight:
if "fillOpacity" not in highlight_kwds:
highlight_kwds["fillOpacity"] = 0.75
def _style_highlight(x):
return {**highlight_kwds}
highlight_function = _style_highlight
else:
highlight_function = None
# define default for points
if marker_type is None:
marker_type = "circle_marker"
marker = marker_type
if isinstance(marker_type, str):
if marker_type == "marker":
marker = folium.Marker(**marker_kwds)
elif marker_type == "circle":
marker = folium.Circle(**marker_kwds)
elif marker_type == "circle_marker":
marker_kwds["radius"] = marker_kwds.get("radius", 2)
marker_kwds["fill"] = marker_kwds.get("fill", True)
marker = folium.CircleMarker(**marker_kwds)
else:
raise ValueError(
"Only 'marker', 'circle', and 'circle_marker' are "
"supported as marker values"
)
# remove additional geometries
if isinstance(gdf, geopandas.GeoDataFrame):
non_active_geoms = [
name
for name, val in (gdf.dtypes == "geometry").items()
if val and name != gdf.geometry.name
]
gdf = gdf.drop(columns=non_active_geoms)
# prepare tooltip and popup
if isinstance(gdf, geopandas.GeoDataFrame):
# add named index to the tooltip
if gdf.index.name is not None:
gdf = gdf.reset_index()
# specify fields to show in the tooltip
tooltip = _tooltip_popup("tooltip", tooltip, gdf, **tooltip_kwds)
popup = _tooltip_popup("popup", popup, gdf, **popup_kwds)
else:
tooltip = None
popup = None
# escape the curly braces {{}} for jinja2 templates
feature_collection = gdf[
~(gdf.geometry.isna() | gdf.geometry.is_empty) # drop missing or empty geoms
].__geo_interface__
for feature in feature_collection["features"]:
for k in feature["properties"]:
# escape the curly braces in values
if isinstance(feature["properties"][k], str):
feature["properties"][k] = re.sub(
r"\{{2,}",
lambda x: "{% raw %}" + x.group(0) + "{% endraw %}",
feature["properties"][k],
)
# add dataframe to map
folium.GeoJson(
feature_collection,
tooltip=tooltip,
popup=popup,
marker=marker,
style_function=style_function,
highlight_function=highlight_function,
**kwargs,
).add_to(m)
if legend:
# NOTE: overlaps will be resolved in branca #88
caption = column if not column == "__plottable_column" else ""
caption = legend_kwds.pop("caption", caption)
if categorical:
categories = cat.categories.to_list()
legend_colors = legend_colors.tolist()
if nan_idx.any() and nan_color:
categories.append(missing_kwds.pop("label", "NaN"))
legend_colors.append(nan_color)
_categorical_legend(m, caption, categories, legend_colors)
elif column is not None:
cbar = legend_kwds.pop("colorbar", True)
colormap_kwds = {}
if "max_labels" in legend_kwds:
colormap_kwds["max_labels"] = legend_kwds.pop("max_labels")
if scheme:
cb_colors = np.apply_along_axis(
colors.to_hex,
1,
_colormap_helper(cmap, n_resample=binning.k, idx=range(binning.k)),
)
if cbar:
if legend_kwds.pop("scale", True):
index = [vmin] + binning.bins.tolist()
else:
index = None
colorbar = bc.colormap.StepColormap(
cb_colors,
vmin=vmin,
vmax=vmax,
caption=caption,
index=index,
**colormap_kwds,
)
else:
fmt = legend_kwds.pop("fmt", "{:.2f}")
if "labels" in legend_kwds:
categories = legend_kwds["labels"]
else:
categories = binning.get_legend_classes(fmt)
show_interval = legend_kwds.pop("interval", False)
if not show_interval:
categories = [c[1:-1] for c in categories]
if nan_idx.any() and nan_color:
categories.append(missing_kwds.pop("label", "NaN"))
cb_colors = np.append(cb_colors, nan_color)
_categorical_legend(m, caption, categories, cb_colors)
else:
if isinstance(cmap, bc.colormap.ColorMap):
colorbar = cmap
else:
mp_cmap = _colormap_helper(cmap)
cb_colors = np.apply_along_axis(
colors.to_hex, 1, mp_cmap(range(mp_cmap.N))
)
# linear legend
if mp_cmap.N > 20:
colorbar = bc.colormap.LinearColormap(
cb_colors,
vmin=vmin,
vmax=vmax,
caption=caption,
**colormap_kwds,
)
# steps
else:
colorbar = bc.colormap.StepColormap(
cb_colors,
vmin=vmin,
vmax=vmax,
caption=caption,
**colormap_kwds,
)
if cbar:
if nan_idx.any() and nan_color:
_categorical_legend(
m, "", [missing_kwds.pop("label", "NaN")], [nan_color]
)
m.add_child(colorbar)
return m
def _tooltip_popup(type, fields, gdf, **kwds):
"""get tooltip or popup"""
import folium
# specify fields to show in the tooltip
if fields is False or fields is None or fields == 0:
return None
else:
if fields is True:
fields = gdf.columns.drop(gdf.geometry.name).to_list()
elif isinstance(fields, int):
fields = gdf.columns.drop(gdf.geometry.name).to_list()[:fields]
elif isinstance(fields, str):
fields = [fields]
for field in ["__plottable_column", "__folium_color"]:
if field in fields:
fields.remove(field)
# Cast fields to str
fields = list(map(str, fields))
if type == "tooltip":
return folium.GeoJsonTooltip(fields, **kwds)
elif type == "popup":
return folium.GeoJsonPopup(fields, **kwds)
def _categorical_legend(m, title, categories, colors):
"""
Add categorical legend to a map
The implementation is using the code originally written by Michel Metran
(@michelmetran) and released on GitHub
(https://github.com/michelmetran/package_folium) under MIT license.
Copyright (c) 2020 Michel Metran
Parameters
----------
m : folium.Map
Existing map instance on which to draw the plot
title : str
title of the legend (e.g. column name)
categories : list-like
list of categories
colors : list-like
list of colors (in the same order as categories)
"""
# Header to Add
head = """
{% macro header(this, kwargs) %}
<script src="https://code.jquery.com/ui/1.12.1/jquery-ui.js"></script>
<script>$( function() {
$( ".maplegend" ).draggable({
start: function (event, ui) {
$(this).css({
right: "auto",
top: "auto",
bottom: "auto"
});
}
});
});
</script>
<style type='text/css'>
.maplegend {
position: absolute;
z-index:9999;
background-color: rgba(255, 255, 255, .8);
border-radius: 5px;
box-shadow: 0 0 15px rgba(0,0,0,0.2);
padding: 10px;
font: 12px/14px Arial, Helvetica, sans-serif;
right: 10px;
bottom: 20px;
}
.maplegend .legend-title {
text-align: left;
margin-bottom: 5px;
font-weight: bold;
}
.maplegend .legend-scale ul {
margin: 0;
margin-bottom: 0px;
padding: 0;
float: left;
list-style: none;
}
.maplegend .legend-scale ul li {
list-style: none;
margin-left: 0;
line-height: 16px;
margin-bottom: 2px;
}
.maplegend ul.legend-labels li span {
display: block;
float: left;
height: 14px;
width: 14px;
margin-right: 5px;
margin-left: 0;
border: 0px solid #ccc;
}
.maplegend .legend-source {
color: #777;
clear: both;
}
.maplegend a {
color: #777;
}
</style>
{% endmacro %}
"""
import branca as bc
# Add CSS (on Header)
macro = bc.element.MacroElement()
macro._template = bc.element.Template(head)
m.get_root().add_child(macro)
body = f"""
<div id='maplegend {title}' class='maplegend'>
<div class='legend-title'>{title}</div>
<div class='legend-scale'>
<ul class='legend-labels'>"""
# Loop Categories
for label, color in zip(categories, colors):
body += f"""
<li><span style='background:{color}'></span>{label}</li>"""
body += """
</ul>
</div>
</div>
"""
# Add Body
body = bc.element.Element(body, "legend")
m.get_root().html.add_child(body)
def _explore_geoseries(
s,
color=None,
m=None,
tiles="OpenStreetMap",
attr=None,
highlight=True,
width="100%",
height="100%",
control_scale=True,
marker_type=None,
marker_kwds={},
style_kwds={},
highlight_kwds={},
map_kwds={},
**kwargs,
):
"""Interactive map based on GeoPandas and folium/leaflet.js
Generate an interactive leaflet map based on :class:`~geopandas.GeoSeries`
Parameters
----------
color : str, array-like (default None)
Named color or a list-like of colors (named or hex).
m : folium.Map (default None)
Existing map instance on which to draw the plot.
tiles : str, xyzservices.TileProvider (default 'OpenStreetMap Mapnik')
Map tileset to use. Can choose from the list supported by folium, query a
:class:`xyzservices.TileProvider` by a name from ``xyzservices.providers``,
pass :class:`xyzservices.TileProvider` object or pass custom XYZ URL.
The current list of built-in providers (when ``xyzservices`` is not available):
``["OpenStreetMap", "CartoDB positron", “CartoDB dark_matter"]``
You can pass a custom tileset to Folium by passing a Leaflet-style URL
to the tiles parameter: ``http://{s}.yourtiles.com/{z}/{x}/{y}.png``.
Be sure to check their terms and conditions and to provide attribution with
the ``attr`` keyword.
attr : str (default None)
Map tile attribution; only required if passing custom tile URL.
highlight : bool (default True)
Enable highlight functionality when hovering over a geometry.
width : pixel int or percentage string (default: '100%')
Width of the folium :class:`~folium.folium.Map`. If the argument
m is given explicitly, width is ignored.
height : pixel int or percentage string (default: '100%')
Height of the folium :class:`~folium.folium.Map`. If the argument
m is given explicitly, height is ignored.
control_scale : bool, (default True)
Whether to add a control scale on the map.
marker_type : str, folium.Circle, folium.CircleMarker, folium.Marker (default None)
Allowed string options are ('marker', 'circle', 'circle_marker'). Defaults to
folium.Marker.
marker_kwds: dict (default {})
Additional keywords to be passed to the selected ``marker_type``, e.g.:
radius : float
Radius of the circle, in meters (for ``'circle'``) or pixels
(for ``circle_marker``).
icon : folium.map.Icon
the :class:`folium.map.Icon` object to use to render the marker.
draggable : bool (default False)
Set to True to be able to drag the marker around the map.
style_kwds : dict (default {})
Additional style to be passed to folium ``style_function``:
stroke : bool (default True)
Whether to draw stroke along the path. Set it to ``False`` to
disable borders on polygons or circles.
color : str
Stroke color
weight : int
Stroke width in pixels
opacity : float (default 1.0)
Stroke opacity
fill : boolean (default True)
Whether to fill the path with color. Set it to ``False`` to
disable filling on polygons or circles.
fillColor : str
Fill color. Defaults to the value of the color option
fillOpacity : float (default 0.5)
Fill opacity.
style_function : callable
Function mapping a GeoJson Feature to a style ``dict``.
* Style properties :func:`folium.vector_layers.path_options`
* GeoJson features :class:`GeoSeries.__geo_interface__`
e.g.::
lambda x: {"color":"red" if x["properties"]["gdp_md_est"]<10**6
else "blue"}
Plus all supported by :func:`folium.vector_layers.path_options`. See the
documentation of :class:`folium.features.GeoJson` for details.
highlight_kwds : dict (default {})
Style to be passed to folium highlight_function. Uses the same keywords
as ``style_kwds``. When empty, defaults to ``{"fillOpacity": 0.75}``.
map_kwds : dict (default {})
Additional keywords to be passed to folium :class:`~folium.folium.Map`,
e.g. ``dragging``, or ``scrollWheelZoom``.
**kwargs : dict
Additional options to be passed on to the folium.
Returns
-------
m : folium.folium.Map
folium :class:`~folium.folium.Map` instance
"""
return _explore(
s,
color=color,
m=m,
tiles=tiles,
attr=attr,
highlight=highlight,