plotlymap module¶
Canvas
¶
The widgets.HBox containing the map and a toolbar.
Source code in leafmap/plotlymap.py
class Canvas:
"""The widgets.HBox containing the map and a toolbar."""
def __init__(
self,
map,
map_min_width: Optional[str] = "90%",
map_max_width: Optional[str] = "98%",
map_refresh: Optional[bool] = False,
**kwargs,
) -> None:
"""Initialize the Canvas.
Args:
map (go.FigureWidget): The map to display.
map_min_width (str, optional): The minimum width of the map. Defaults to '90%'.
map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
map_refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
"""
from .toolbar import plotly_toolbar
map_widget = widgets.Output(layout=widgets.Layout(width=map_max_width))
with map_widget:
display(map)
self.map = map
self.map_min_width = map_min_width
self.map_max_width = map_max_width
self.map_refresh = map_refresh
self.map_widget = map_widget
container_widget = widgets.VBox()
self.container_widget = container_widget
toolbar_widget = plotly_toolbar(self)
sidebar_widget = widgets.VBox([toolbar_widget, container_widget])
canvas = widgets.HBox([map_widget, sidebar_widget])
self.canvas = canvas
self.toolbar_widget = toolbar_widget
def toolbar_reset(self):
"""Reset the toolbar so that no tool is selected."""
if hasattr(self, "toolbar"):
toolbar_grid = self.toolbar
for tool in toolbar_grid.children:
tool.value = False
__init__(self, map, map_min_width='90%', map_max_width='98%', map_refresh=False, **kwargs)
special
¶
Initialize the Canvas.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
map |
go.FigureWidget |
The map to display. |
required |
map_min_width |
str |
The minimum width of the map. Defaults to '90%'. |
'90%' |
map_max_width |
str |
The maximum width of the map. Defaults to '98%'. |
'98%' |
map_refresh |
bool |
Whether to refresh the map when the map is resized. Defaults to False. |
False |
Source code in leafmap/plotlymap.py
def __init__(
self,
map,
map_min_width: Optional[str] = "90%",
map_max_width: Optional[str] = "98%",
map_refresh: Optional[bool] = False,
**kwargs,
) -> None:
"""Initialize the Canvas.
Args:
map (go.FigureWidget): The map to display.
map_min_width (str, optional): The minimum width of the map. Defaults to '90%'.
map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
map_refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
"""
from .toolbar import plotly_toolbar
map_widget = widgets.Output(layout=widgets.Layout(width=map_max_width))
with map_widget:
display(map)
self.map = map
self.map_min_width = map_min_width
self.map_max_width = map_max_width
self.map_refresh = map_refresh
self.map_widget = map_widget
container_widget = widgets.VBox()
self.container_widget = container_widget
toolbar_widget = plotly_toolbar(self)
sidebar_widget = widgets.VBox([toolbar_widget, container_widget])
canvas = widgets.HBox([map_widget, sidebar_widget])
self.canvas = canvas
self.toolbar_widget = toolbar_widget
toolbar_reset(self)
¶
Reset the toolbar so that no tool is selected.
Source code in leafmap/plotlymap.py
def toolbar_reset(self):
"""Reset the toolbar so that no tool is selected."""
if hasattr(self, "toolbar"):
toolbar_grid = self.toolbar
for tool in toolbar_grid.children:
tool.value = False
Map (FigureWidget)
¶
The Map class inherits the Plotly FigureWidget class. More info at https://plotly.com/python/figurewidget.
Source code in leafmap/plotlymap.py
class Map(go.FigureWidget):
"""The Map class inherits the Plotly FigureWidget class. More info at https://plotly.com/python/figurewidget."""
def __init__(
self,
center: Optional[Tuple[float, float]] = (20, 0),
zoom: Optional[float] = 1,
basemap: Optional[str] = "open-street-map",
height: Optional[int] = 600,
**kwargs,
) -> None:
"""Initializes a map. More info at https://plotly.com/python/mapbox-layers/
Args:
center (tuple, optional): Center of the map. Defaults to (20, 0).
zoom (float, optional): Zoom level of the map. Defaults to 1.
basemap (str, optional): Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'.
height (int, optional): Height of the map. Defaults to 600.
"""
super().__init__(**kwargs)
self.add_scattermapbox()
self.update_layout(
{
"mapbox": {
"style": basemap,
"center": {"lat": center[0], "lon": center[1]},
"zoom": zoom,
},
"margin": {"r": 0, "t": 0, "l": 0, "b": 0},
"height": height,
}
)
def show(
self,
toolbar: Optional[bool] = True,
map_min_width: Optional[str] = "91%",
map_max_width: Optional[str] = "98%",
refresh: Optional[bool] = False,
**kwargs,
) -> None:
"""Shows the map.
Args:
toolbar (bool, optional): Whether to show the toolbar. Defaults to True.
map_min_width (str, optional): The minimum width of the map. Defaults to '91%'.
map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
Returns:
Canvas: Map canvas.
"""
if not toolbar:
super().show(**kwargs)
else:
canvas = Canvas(
self,
map_min_width=map_min_width,
map_max_width=map_max_width,
map_refresh=refresh,
)
return canvas.canvas
def clear_controls(self):
"""Removes all controls from the map."""
config = {
"scrollZoom": True,
"displayModeBar": False,
"editable": True,
"showLink": False,
"displaylogo": False,
}
self.show(toolbar=False, config=config)
def add_controls(self, controls: List) -> None:
"""Adds controls to the map.
Args:
controls (list): List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr
"""
if isinstance(controls, str):
controls = [controls]
elif not isinstance(controls, list):
raise ValueError(
"Controls must be a string or a list of strings. See https://bit.ly/33Tmqxr"
)
self.update_layout(modebar_add=controls)
def remove_controls(self, controls: List):
"""Removes controls to the map.
Args:
controls (list): List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb
"""
if isinstance(controls, str):
controls = [controls]
elif not isinstance(controls, list):
raise ValueError(
"Controls must be a string or a list of strings. See https://bit.ly/3Jk7wkb"
)
self.update_layout(modebar_remove=controls)
def set_center(self, lat: float, lon: float, zoom: Optional[float] = None) -> None:
"""Sets the center of the map.
Args:
lat (float): Latitude.
lon (float): Longitude.
zoom (int, optional): Zoom level of the map. Defaults to None.
"""
self.update_layout(
mapbox=dict(
center=dict(lat=lat, lon=lon),
zoom=zoom if zoom is not None else self.layout.mapbox.zoom,
)
)
def add_basemap(self, basemap: Optional[str] = "ROADMAP") -> None:
"""Adds a basemap to the map.
Args:
basemap (str, optional): Can be one of string from basemaps. Defaults to 'ROADMAP'.
"""
if basemap not in basemaps:
raise ValueError(
f"Basemap {basemap} not found. Choose from {','.join(basemaps.keys())}"
)
if basemap in self.get_tile_layers():
self.remove_basemap(basemap)
layers = list(self.layout.mapbox.layers) + [basemaps[basemap]]
self.update_layout(mapbox_layers=layers)
def remove_basemap(self, name: str) -> None:
"""Removes a basemap from the map.
Args:
name (str): Name of the basemap to remove.
"""
layers = list(self.layout.mapbox.layers)
layers = [layer for layer in layers if layer["name"] != name]
self.layout.mapbox.layers = layers
def add_mapbox_layer(self, style: Union[str, Dict], access_token=None) -> None:
"""Adds a mapbox layer to the map.
Args:
layer (str | dict): Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/
access_token (str, optional): The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None.
"""
if access_token is None:
access_token = os.environ.get("MAPBOX_TOKEN")
self.update_layout(
mapbox_style=style, mapbox_layers=[], mapbox_accesstoken=access_token
)
def add_layer(self, layer, name: Optional[str] = None, **kwargs):
"""Adds a layer to the map.
Args:
layer (plotly.graph_objects): Layer to add.
name (str, optional): Name of the layer. Defaults to None.
"""
if isinstance(name, str):
layer.name = name
self.add_trace(layer, **kwargs)
def remove_layer(self, name: str) -> None:
"""Removes a layer from the map.
Args:
name (str): Name of the layer to remove.
"""
if name in self.get_data_layers():
self.data = [layer for layer in self.data if layer.name != name]
elif name in self.get_tile_layers():
self.layout.mapbox.layers = [
layer for layer in self.layout.mapbox.layers if layer["name"] != name
]
def clear_layers(self, clear_basemap: Optional[bool] = False):
"""Clears all layers from the map.
Args:
clear_basemap (bool, optional): If True, clears the basemap. Defaults to False.
"""
if clear_basemap:
self.data = []
else:
if len(self.data) > 1:
self.data = self.data[:1]
def get_layers(self) -> Dict:
"""Returns a dictionary of all layers in the map.
Returns:
dict: A dictionary of all layers in the map.
"""
layers = {}
for layer in self.layout.mapbox.layers:
if layer["name"] is not None:
layers[layer["name"]] = layer
for layer in self.data:
if layer.name is not None and layer.name != "trace 0":
layers[layer.name] = layer
return layers
def get_tile_layers(self) -> Dict:
"""Returns a dictionary of tile layers in the map.
Returns:
dict: A dictionary of tile layers in the map.
"""
layers = {}
for layer in self.layout.mapbox.layers:
if layer["name"] is not None:
layers[layer["name"]] = layer
return layers
def get_data_layers(self) -> Dict:
"""Returns a dictionary of data layers in the map.
Returns:
dict: A dictionary of data layers in the map.
"""
layers = {}
for layer in self.data:
if layer.name is not None and layer.name != "trace 0":
layers[layer.name] = layer
return layers
def find_layer_index(self, name: str) -> int:
"""Finds the index of a layer.
Args:
name (str): Name of the layer to find.
Returns:
int: Index of the layer.
"""
for i, layer in enumerate(self.data):
if layer.name == name:
return i
for i, layer in enumerate(self.layout.mapbox.layers):
if layer["name"] == name:
return i
return None
def set_layer_visibility(self, name: str, show: Optional[bool] = True) -> None:
"""Sets the visibility of a layer.
Args:
name (str): Name of the layer to set.
show (bool, optional): If True, shows the layer. Defaults to True.
"""
if name in self.get_tile_layers():
index = self.find_layer_index(name)
self.layout.mapbox.layers[index].visible = show
elif name in self.get_data_layers():
index = self.find_layer_index(name)
self.data[index].visible = show
else:
print(f"Layer {name} not found.")
def set_layer_opacity(self, name: str, opacity: Optional[float] = 1) -> None:
"""Sets the visibility of a layer.
Args:
name (str): Name of the layer to set.
opacity (float, optional): Opacity of the layer. Defaults to 1.
"""
if name in self.get_tile_layers():
index = self.find_layer_index(name)
self.layout.mapbox.layers[index].opacity = opacity
elif name in self.get_data_layers():
index = self.find_layer_index(name)
layer = self.data[index]
if hasattr(layer, "opacity"):
layer.opacity = opacity
elif hasattr(layer, "marker"):
layer.marker.opacity = opacity
else:
print(f"Layer {name} not found.")
def add_tile_layer(
self,
url: str,
name: Optional[str] = "TileLayer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a TileLayer to the map.
Args:
url (str): The URL of the tile layer.
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
layer = {
"below": "traces",
"sourcetype": "raster",
"sourceattribution": attribution,
"source": [url],
"opacity": opacity,
"name": name,
}
layers = list(self.layout.mapbox.layers) + [layer]
self.update_layout(mapbox_layers=layers)
def add_cog_layer(
self,
url: str,
name: Optional[str] = "Untitled",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
bands: Optional[List] = None,
titiler_endpoint: Optional[str] = None,
**kwargs,
) -> None:
"""Adds a COG TileLayer to the map.
Args:
url (str): The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif'
name (str, optional): The layer name to use for the layer. Defaults to 'Untitled'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
bands (list, optional): The bands to use. Defaults to None.
titiler_endpoint (str, optional): Titiler endpoint. Defaults to "https://titiler.xyz".
**kwargs: Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale,
color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/
and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3].
apply a rescaling to multiple bands, use something like `rescale=["164,223","130,211","99,212"]`.
"""
tile_url = common.cog_tile(url, bands, titiler_endpoint, **kwargs)
center = common.cog_center(url, titiler_endpoint) # (lon, lat)
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
def add_stac_layer(
self,
url: str = None,
collection: str = None,
items: str = None,
assets: str = None,
bands: List = None,
titiler_endpoint: Optional[str] = None,
name: Optional[str] = "STAC Layer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a STAC TileLayer to the map.
Args:
url (str): HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json
collection (str): The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2.
items (str): The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1.
assets (str | list): The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"].
bands (list): A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"]
titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None.
name (str, optional): The layer name to use for the layer. Defaults to 'STAC Layer'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
tile_url = common.stac_tile(
url, collection, items, assets, bands, titiler_endpoint, **kwargs
)
center = common.stac_center(url, collection, items, titiler_endpoint)
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
def add_mosaic_layer(
self,
url: str,
titiler_endpoint: Optional[str] = None,
name: Optional[str] = "Mosaic Layer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a STAC TileLayer to the map.
Args:
url (str): HTTP URL to a MosaicJSON.
titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None.
name (str, optional): The layer name to use for the layer. Defaults to 'Mosaic Layer'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
tile_url = common.mosaic_tile(url, titiler_endpoint, **kwargs)
center = common.mosaic_info(url, titiler_endpoint)["center"]
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
def add_planet_by_month(
self,
year: Optional[int] = 2016,
month: Optional[int] = 1,
api_key: Optional[str] = None,
token_name: Optional[str] = "PLANET_API_KEY",
name: Optional[str] = None,
attribution: str = "",
opacity: Optional[float] = 1.0,
) -> None:
"""Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Args:
year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
month (int, optional): The month of Planet global mosaic, must be 1-12. Defaults to 1.
api_key (str, optional): The Planet API key. Defaults to None.
token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
if name is None:
name = str(year) + "-" + str(month).zfill(2)
tile_url = common.planet_by_month(year, month, api_key, token_name)
self.add_tile_layer(
tile_url, name=name, attribution=attribution, opacity=opacity
)
def add_planet_by_quarter(
self,
year: Optional[int] = 2016,
quarter: Optional[int] = 1,
api_key: Optional[str] = None,
token_name: Optional[str] = "PLANET_API_KEY",
name: Optional[str] = None,
attribution: str = "",
opacity: Optional[float] = 1.0,
) -> None:
"""Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Args:
year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
quarter (int, optional): The quarter of Planet global mosaic, must be 1-4. Defaults to 1.
api_key (str, optional): The Planet API key. Defaults to None.
token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
if name is None:
name = str(year) + "-" + "q" + str(quarter)
tile_url = common.planet_by_quarter(year, quarter, api_key, token_name)
self.add_tile_layer(
tile_url, name=name, attribution=attribution, opacity=opacity
)
def save(
self,
file: str,
format: Optional[str] = None,
width: Optional[int] = None,
height: Optional[int] = None,
scale: Optional[int] = None,
**kwargs,
) -> None:
"""Convert a map to a static image and write it to a file or writeable object
Args:
file (str): A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor)
format (str, optional): The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None.
width (int, optional): The width of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the width of the exported image in physical pixels.. Defaults to None.
height (int, optional): The height of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the height of the exported image in physical pixels.. Defaults to None.
scale (int, optional): The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None.
"""
self.write_image(
file, format=format, width=width, height=height, scale=scale, **kwargs
)
def add_choropleth_map(
self,
data: str,
name: Optional[str] = None,
z: Optional[str] = None,
colorscale: Optional[str] = "Viridis",
**kwargs,
) -> None:
"""Adds a choropleth map to the map.
Args:
data (str): File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson
name (str, optional): Name of the layer. Defaults to None.
z (str, optional): Z value of the data. Defaults to None.
colorscale (str, optional): Color scale of the data. Defaults to "Viridis".
"""
common.check_package("geopandas")
import json
import geopandas as gpd
gdf = gpd.read_file(data).to_crs(epsg=4326)
geojson = json.loads(gdf.to_json())
self.add_choroplethmapbox(
geojson=geojson,
locations=gdf.index,
z=gdf[z],
name=name,
colorscale=colorscale,
**kwargs,
)
def add_scatter_plot_demo(self, **kwargs) -> None:
"""Adds a scatter plot to the map."""
lons = np.random.random(1000) * 360.0
lats = np.random.random(1000) * 180.0 - 90.0
z = np.random.random(1000) * 50.0
self.add_scattermapbox(
lon=lons, lat=lats, marker={"color": z}, name="Random points", **kwargs
)
def add_heatmap(
self,
data: Union[str, DataFrame],
latitude: Optional[str] = "latitude",
longitude: Optional[str] = "longitude",
z: Optional[str] = "value",
radius: Optional[int] = 10,
colorscale: Optional[str] = None,
name: Optional[str] = "Heat map",
**kwargs,
) -> None:
"""Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps
Args:
data (str | pd.DataFrame): File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv
latitude (str, optional): The column name of latitude. Defaults to "latitude".
longitude (str, optional): The column name of longitude. Defaults to "longitude".
z (str, optional): The column name of z values. Defaults to "value".
radius (int, optional): Radius of each “point” of the heatmap. Defaults to 25.
colorscale (str, optional): Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None.
name (str, optional): Layer name to use. Defaults to "Heat map".
"""
if isinstance(data, str):
df = pd.read_csv(data)
elif isinstance(data, pd.DataFrame):
df = data
else:
raise ValueError("data must be a DataFrame or a file path.")
heatmap = go.Densitymapbox(
lat=df[latitude],
lon=df[longitude],
z=df[z],
radius=radius,
colorscale=colorscale,
name=name,
**kwargs,
)
self.add_trace(heatmap)
def add_heatmap_demo(self, **kwargs) -> None:
"""Adds a heatmap to the map."""
quakes = pd.read_csv(
"https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv"
)
heatmap = go.Densitymapbox(
lat=quakes.Latitude,
lon=quakes.Longitude,
z=quakes.Magnitude,
radius=10,
name="Earthquake",
**kwargs,
)
self.add_basemap("Esri.WorldTopoMap")
self.add_trace(heatmap)
def add_gdf_demo(
self,
gdf,
label_col: Optional[str],
color_col: Optional[str],
color_continuous_scale: Optional[str] = "Viridis",
**kwargs,
) -> None:
common.check_package("geopandas", "https://geopandas.org")
import geopandas as gpd
geojson_url = str(gdf)
if isinstance(gdf, str):
gdf = gpd.read_file(gdf).to_crs(epsg=4326)
fig = go.Choroplethmapbox(
geojson=geojson_url,
featureidkey="properties.{}".format(label_col),
locations=gdf[label_col],
z=gdf[color_col],
autocolorscale=False,
colorscale=color_continuous_scale,
marker_line_color="peachpuff",
colorbar=dict(
title={"text": "Legend"},
thickness=15,
len=0.35,
bgcolor="rgba(255,255,255,0.6)",
xanchor="left",
x=0.02,
yanchor="bottom",
y=0.05,
),
)
self.add_trace(fig)
def add_gdf(
self,
gdf,
label_col: Optional[str] = None,
color_col: Optional[str] = None,
labels=None,
opacity: Optional[float] = 1.0,
zoom: Optional[int] = None,
color_continuous_scale: Optional[str] = "Viridis",
**kwargs,
) -> None:
"""Adds a GeoDataFrame to the map.
Args:
gdf (GeoDataFrame): A GeoDataFrame.
label_col (str, optional): The column name of locations. Defaults to None.
color_col (str, optional): The column name of color. Defaults to None.
"""
common.check_package("geopandas", "https://geopandas.org")
import geopandas as gpd
if isinstance(gdf, str):
gdf = gpd.read_file(gdf)
if not isinstance(gdf, gpd.GeoDataFrame):
raise ValueError("gdf must be a GeoDataFrame.")
gdf = gdf.to_crs(epsg=4326)
# geom_type = gdf_geom_type(gdf)
center_lon, center_lat = common.gdf_centroid(gdf)
if isinstance(label_col, str):
gdf = gdf.set_index(label_col)
if label_col == color_col:
gdf[label_col] = gdf.index
label_col = gdf.index
elif label_col is None:
label_col = gdf.index
if isinstance(color_col, str):
if color_col not in gdf.columns:
raise ValueError(
f"color must be a column name in the GeoDataFrame. Can be one of {','.join(gdf.columns)} "
)
fig = px.choropleth_mapbox(
gdf,
geojson=gdf.geometry,
locations=label_col,
color=color_col,
color_continuous_scale=color_continuous_scale,
opacity=opacity,
labels=labels,
# mapbox_style="carto-positron",
**kwargs,
)
self.add_traces(fig.data)
self.set_center(center_lat, center_lon, zoom)
def add_geojson_layer(
self,
geojson_in: Union[str, Dict],
name: str,
color: Optional[str] = "blue",
opacity: Optional[float] = 1,
) -> None:
"""Prepare proper and give style for different type of Geometry
Args:
in_geojson (str | dict): The file path or http URL to the input GeoJSON or a dictionary containing the geojson.
name (str): Name for the Layer
color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
opacity(float, optional): opacity of the layer in Map
"""
import json
import requests
if isinstance(geojson_in, dict):
data = geojson_in
elif geojson_in.startswith("http"):
data = requests.get(geojson_in).json()
elif geojson_in.lower().endswith((".json", ".geojson")):
with open(geojson_in) as fp:
data = json.load(fp)
else:
data = geojson_in
""" Only Checking Geometry of first feature( todo : handle multiple type of Geometry in same geojson ) """
first_feature = data["features"][0]
geometry_type = first_feature["geometry"]["type"]
if geometry_type.lower() in ["polygon", "multipolygon"]:
type = "fill"
elif geometry_type.lower() in ["linstring", "multilinestring"]:
type = "line"
elif geometry_type.lower() in ["point", "multipoint"]:
type = "circle"
else:
type = "fill"
self.add_geojson(data, name, type, color, opacity)
def add_geojson(
self,
data: Dict,
name: str,
type: Optional[str],
color: Optional[str],
opacity: Optional[float],
) -> None:
"""Add layers to the Map
Args:
data (dict): Geojson in Dict form
name (str): Name for the Layer
color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
opacity(float, optional): opacity of the layer in Map
"""
new_layer = {
"source": data,
"name": name,
"type": type,
"opacity": opacity,
"color": color,
}
if type == "circle":
new_layer["circle"] = {"radius": 5}
existing_layers = list(self.layout.mapbox.layers)
existing_layers.append(new_layer)
self.update_layout(mapbox={"layers": tuple(existing_layers)})
__init__(self, center=(20, 0), zoom=1, basemap='open-street-map', height=600, **kwargs)
special
¶
Initializes a map. More info at https://plotly.com/python/mapbox-layers/
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
center |
tuple |
Center of the map. Defaults to (20, 0). |
(20, 0) |
zoom |
float |
Zoom level of the map. Defaults to 1. |
1 |
basemap |
str |
Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'. |
'open-street-map' |
height |
int |
Height of the map. Defaults to 600. |
600 |
Source code in leafmap/plotlymap.py
def __init__(
self,
center: Optional[Tuple[float, float]] = (20, 0),
zoom: Optional[float] = 1,
basemap: Optional[str] = "open-street-map",
height: Optional[int] = 600,
**kwargs,
) -> None:
"""Initializes a map. More info at https://plotly.com/python/mapbox-layers/
Args:
center (tuple, optional): Center of the map. Defaults to (20, 0).
zoom (float, optional): Zoom level of the map. Defaults to 1.
basemap (str, optional): Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'.
height (int, optional): Height of the map. Defaults to 600.
"""
super().__init__(**kwargs)
self.add_scattermapbox()
self.update_layout(
{
"mapbox": {
"style": basemap,
"center": {"lat": center[0], "lon": center[1]},
"zoom": zoom,
},
"margin": {"r": 0, "t": 0, "l": 0, "b": 0},
"height": height,
}
)
add_basemap(self, basemap='ROADMAP')
¶
Adds a basemap to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
basemap |
str |
Can be one of string from basemaps. Defaults to 'ROADMAP'. |
'ROADMAP' |
Source code in leafmap/plotlymap.py
def add_basemap(self, basemap: Optional[str] = "ROADMAP") -> None:
"""Adds a basemap to the map.
Args:
basemap (str, optional): Can be one of string from basemaps. Defaults to 'ROADMAP'.
"""
if basemap not in basemaps:
raise ValueError(
f"Basemap {basemap} not found. Choose from {','.join(basemaps.keys())}"
)
if basemap in self.get_tile_layers():
self.remove_basemap(basemap)
layers = list(self.layout.mapbox.layers) + [basemaps[basemap]]
self.update_layout(mapbox_layers=layers)
add_choropleth_map(self, data, name=None, z=None, colorscale='Viridis', **kwargs)
¶
Adds a choropleth map to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
data |
str |
File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson |
required |
name |
str |
Name of the layer. Defaults to None. |
None |
z |
str |
Z value of the data. Defaults to None. |
None |
colorscale |
str |
Color scale of the data. Defaults to "Viridis". |
'Viridis' |
Source code in leafmap/plotlymap.py
def add_choropleth_map(
self,
data: str,
name: Optional[str] = None,
z: Optional[str] = None,
colorscale: Optional[str] = "Viridis",
**kwargs,
) -> None:
"""Adds a choropleth map to the map.
Args:
data (str): File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson
name (str, optional): Name of the layer. Defaults to None.
z (str, optional): Z value of the data. Defaults to None.
colorscale (str, optional): Color scale of the data. Defaults to "Viridis".
"""
common.check_package("geopandas")
import json
import geopandas as gpd
gdf = gpd.read_file(data).to_crs(epsg=4326)
geojson = json.loads(gdf.to_json())
self.add_choroplethmapbox(
geojson=geojson,
locations=gdf.index,
z=gdf[z],
name=name,
colorscale=colorscale,
**kwargs,
)
add_cog_layer(self, url, name='Untitled', attribution='', opacity=1.0, bands=None, titiler_endpoint=None, **kwargs)
¶
Adds a COG TileLayer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
url |
str |
The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif' |
required |
name |
str |
The layer name to use for the layer. Defaults to 'Untitled'. |
'Untitled' |
attribution |
str |
The attribution to use. Defaults to ''. |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
bands |
list |
The bands to use. Defaults to None. |
None |
titiler_endpoint |
str |
Titiler endpoint. Defaults to "https://titiler.xyz". |
None |
**kwargs |
Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale,
color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/
and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3].
apply a rescaling to multiple bands, use something like |
{} |
Source code in leafmap/plotlymap.py
def add_cog_layer(
self,
url: str,
name: Optional[str] = "Untitled",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
bands: Optional[List] = None,
titiler_endpoint: Optional[str] = None,
**kwargs,
) -> None:
"""Adds a COG TileLayer to the map.
Args:
url (str): The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif'
name (str, optional): The layer name to use for the layer. Defaults to 'Untitled'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
bands (list, optional): The bands to use. Defaults to None.
titiler_endpoint (str, optional): Titiler endpoint. Defaults to "https://titiler.xyz".
**kwargs: Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale,
color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/
and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3].
apply a rescaling to multiple bands, use something like `rescale=["164,223","130,211","99,212"]`.
"""
tile_url = common.cog_tile(url, bands, titiler_endpoint, **kwargs)
center = common.cog_center(url, titiler_endpoint) # (lon, lat)
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
add_controls(self, controls)
¶
Adds controls to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
controls |
list |
List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr |
required |
Source code in leafmap/plotlymap.py
def add_controls(self, controls: List) -> None:
"""Adds controls to the map.
Args:
controls (list): List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr
"""
if isinstance(controls, str):
controls = [controls]
elif not isinstance(controls, list):
raise ValueError(
"Controls must be a string or a list of strings. See https://bit.ly/33Tmqxr"
)
self.update_layout(modebar_add=controls)
add_gdf(self, gdf, label_col=None, color_col=None, labels=None, opacity=1.0, zoom=None, color_continuous_scale='Viridis', **kwargs)
¶
Adds a GeoDataFrame to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
gdf |
GeoDataFrame |
A GeoDataFrame. |
required |
label_col |
str |
The column name of locations. Defaults to None. |
None |
color_col |
str |
The column name of color. Defaults to None. |
None |
Source code in leafmap/plotlymap.py
def add_gdf(
self,
gdf,
label_col: Optional[str] = None,
color_col: Optional[str] = None,
labels=None,
opacity: Optional[float] = 1.0,
zoom: Optional[int] = None,
color_continuous_scale: Optional[str] = "Viridis",
**kwargs,
) -> None:
"""Adds a GeoDataFrame to the map.
Args:
gdf (GeoDataFrame): A GeoDataFrame.
label_col (str, optional): The column name of locations. Defaults to None.
color_col (str, optional): The column name of color. Defaults to None.
"""
common.check_package("geopandas", "https://geopandas.org")
import geopandas as gpd
if isinstance(gdf, str):
gdf = gpd.read_file(gdf)
if not isinstance(gdf, gpd.GeoDataFrame):
raise ValueError("gdf must be a GeoDataFrame.")
gdf = gdf.to_crs(epsg=4326)
# geom_type = gdf_geom_type(gdf)
center_lon, center_lat = common.gdf_centroid(gdf)
if isinstance(label_col, str):
gdf = gdf.set_index(label_col)
if label_col == color_col:
gdf[label_col] = gdf.index
label_col = gdf.index
elif label_col is None:
label_col = gdf.index
if isinstance(color_col, str):
if color_col not in gdf.columns:
raise ValueError(
f"color must be a column name in the GeoDataFrame. Can be one of {','.join(gdf.columns)} "
)
fig = px.choropleth_mapbox(
gdf,
geojson=gdf.geometry,
locations=label_col,
color=color_col,
color_continuous_scale=color_continuous_scale,
opacity=opacity,
labels=labels,
# mapbox_style="carto-positron",
**kwargs,
)
self.add_traces(fig.data)
self.set_center(center_lat, center_lon, zoom)
add_geojson(self, data, name, type, color, opacity)
¶
Add layers to the Map
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
data |
dict |
Geojson in Dict form |
required |
name |
str |
Name for the Layer |
required |
color |
str |
Plain name for color (e.g: blue) or color code (e.g: #FF0000) |
required |
opacity(float, |
optional |
opacity of the layer in Map |
required |
Source code in leafmap/plotlymap.py
def add_geojson(
self,
data: Dict,
name: str,
type: Optional[str],
color: Optional[str],
opacity: Optional[float],
) -> None:
"""Add layers to the Map
Args:
data (dict): Geojson in Dict form
name (str): Name for the Layer
color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
opacity(float, optional): opacity of the layer in Map
"""
new_layer = {
"source": data,
"name": name,
"type": type,
"opacity": opacity,
"color": color,
}
if type == "circle":
new_layer["circle"] = {"radius": 5}
existing_layers = list(self.layout.mapbox.layers)
existing_layers.append(new_layer)
self.update_layout(mapbox={"layers": tuple(existing_layers)})
add_geojson_layer(self, geojson_in, name, color='blue', opacity=1)
¶
Prepare proper and give style for different type of Geometry
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
in_geojson |
str | dict |
The file path or http URL to the input GeoJSON or a dictionary containing the geojson. |
required |
name |
str |
Name for the Layer |
required |
color |
str |
Plain name for color (e.g: blue) or color code (e.g: #FF0000) |
'blue' |
opacity(float, |
optional |
opacity of the layer in Map |
required |
Source code in leafmap/plotlymap.py
def add_geojson_layer(
self,
geojson_in: Union[str, Dict],
name: str,
color: Optional[str] = "blue",
opacity: Optional[float] = 1,
) -> None:
"""Prepare proper and give style for different type of Geometry
Args:
in_geojson (str | dict): The file path or http URL to the input GeoJSON or a dictionary containing the geojson.
name (str): Name for the Layer
color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
opacity(float, optional): opacity of the layer in Map
"""
import json
import requests
if isinstance(geojson_in, dict):
data = geojson_in
elif geojson_in.startswith("http"):
data = requests.get(geojson_in).json()
elif geojson_in.lower().endswith((".json", ".geojson")):
with open(geojson_in) as fp:
data = json.load(fp)
else:
data = geojson_in
""" Only Checking Geometry of first feature( todo : handle multiple type of Geometry in same geojson ) """
first_feature = data["features"][0]
geometry_type = first_feature["geometry"]["type"]
if geometry_type.lower() in ["polygon", "multipolygon"]:
type = "fill"
elif geometry_type.lower() in ["linstring", "multilinestring"]:
type = "line"
elif geometry_type.lower() in ["point", "multipoint"]:
type = "circle"
else:
type = "fill"
self.add_geojson(data, name, type, color, opacity)
add_heatmap(self, data, latitude='latitude', longitude='longitude', z='value', radius=10, colorscale=None, name='Heat map', **kwargs)
¶
Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
data |
str | pd.DataFrame |
File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv |
required |
latitude |
str |
The column name of latitude. Defaults to "latitude". |
'latitude' |
longitude |
str |
The column name of longitude. Defaults to "longitude". |
'longitude' |
z |
str |
The column name of z values. Defaults to "value". |
'value' |
radius |
int |
Radius of each “point” of the heatmap. Defaults to 25. |
10 |
colorscale |
str |
Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None. |
None |
name |
str |
Layer name to use. Defaults to "Heat map". |
'Heat map' |
Source code in leafmap/plotlymap.py
def add_heatmap(
self,
data: Union[str, DataFrame],
latitude: Optional[str] = "latitude",
longitude: Optional[str] = "longitude",
z: Optional[str] = "value",
radius: Optional[int] = 10,
colorscale: Optional[str] = None,
name: Optional[str] = "Heat map",
**kwargs,
) -> None:
"""Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps
Args:
data (str | pd.DataFrame): File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv
latitude (str, optional): The column name of latitude. Defaults to "latitude".
longitude (str, optional): The column name of longitude. Defaults to "longitude".
z (str, optional): The column name of z values. Defaults to "value".
radius (int, optional): Radius of each “point” of the heatmap. Defaults to 25.
colorscale (str, optional): Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None.
name (str, optional): Layer name to use. Defaults to "Heat map".
"""
if isinstance(data, str):
df = pd.read_csv(data)
elif isinstance(data, pd.DataFrame):
df = data
else:
raise ValueError("data must be a DataFrame or a file path.")
heatmap = go.Densitymapbox(
lat=df[latitude],
lon=df[longitude],
z=df[z],
radius=radius,
colorscale=colorscale,
name=name,
**kwargs,
)
self.add_trace(heatmap)
add_heatmap_demo(self, **kwargs)
¶
Adds a heatmap to the map.
Source code in leafmap/plotlymap.py
def add_heatmap_demo(self, **kwargs) -> None:
"""Adds a heatmap to the map."""
quakes = pd.read_csv(
"https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv"
)
heatmap = go.Densitymapbox(
lat=quakes.Latitude,
lon=quakes.Longitude,
z=quakes.Magnitude,
radius=10,
name="Earthquake",
**kwargs,
)
self.add_basemap("Esri.WorldTopoMap")
self.add_trace(heatmap)
add_layer(self, layer, name=None, **kwargs)
¶
Adds a layer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
layer |
plotly.graph_objects |
Layer to add. |
required |
name |
str |
Name of the layer. Defaults to None. |
None |
Source code in leafmap/plotlymap.py
def add_layer(self, layer, name: Optional[str] = None, **kwargs):
"""Adds a layer to the map.
Args:
layer (plotly.graph_objects): Layer to add.
name (str, optional): Name of the layer. Defaults to None.
"""
if isinstance(name, str):
layer.name = name
self.add_trace(layer, **kwargs)
add_mapbox_layer(self, style, access_token=None)
¶
Adds a mapbox layer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
layer |
str | dict |
Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/ |
required |
access_token |
str |
The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None. |
None |
Source code in leafmap/plotlymap.py
def add_mapbox_layer(self, style: Union[str, Dict], access_token=None) -> None:
"""Adds a mapbox layer to the map.
Args:
layer (str | dict): Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/
access_token (str, optional): The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None.
"""
if access_token is None:
access_token = os.environ.get("MAPBOX_TOKEN")
self.update_layout(
mapbox_style=style, mapbox_layers=[], mapbox_accesstoken=access_token
)
add_mosaic_layer(self, url, titiler_endpoint=None, name='Mosaic Layer', attribution='', opacity=1.0, **kwargs)
¶
Adds a STAC TileLayer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
url |
str |
HTTP URL to a MosaicJSON. |
required |
titiler_endpoint |
str |
Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None. |
None |
name |
str |
The layer name to use for the layer. Defaults to 'Mosaic Layer'. |
'Mosaic Layer' |
attribution |
str |
The attribution to use. Defaults to ''. |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
Source code in leafmap/plotlymap.py
def add_mosaic_layer(
self,
url: str,
titiler_endpoint: Optional[str] = None,
name: Optional[str] = "Mosaic Layer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a STAC TileLayer to the map.
Args:
url (str): HTTP URL to a MosaicJSON.
titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None.
name (str, optional): The layer name to use for the layer. Defaults to 'Mosaic Layer'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
tile_url = common.mosaic_tile(url, titiler_endpoint, **kwargs)
center = common.mosaic_info(url, titiler_endpoint)["center"]
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
add_planet_by_month(self, year=2016, month=1, api_key=None, token_name='PLANET_API_KEY', name=None, attribution='', opacity=1.0)
¶
Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
year |
int |
The year of Planet global mosaic, must be >=2016. Defaults to 2016. |
2016 |
month |
int |
The month of Planet global mosaic, must be 1-12. Defaults to 1. |
1 |
api_key |
str |
The Planet API key. Defaults to None. |
None |
token_name |
str |
The environment variable name of the API key. Defaults to "PLANET_API_KEY". |
'PLANET_API_KEY' |
name |
str |
Name of the layer. Defaults to 'TileLayer'. |
None |
attribution |
str |
The attribution to use. Defaults to "". |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
Source code in leafmap/plotlymap.py
def add_planet_by_month(
self,
year: Optional[int] = 2016,
month: Optional[int] = 1,
api_key: Optional[str] = None,
token_name: Optional[str] = "PLANET_API_KEY",
name: Optional[str] = None,
attribution: str = "",
opacity: Optional[float] = 1.0,
) -> None:
"""Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Args:
year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
month (int, optional): The month of Planet global mosaic, must be 1-12. Defaults to 1.
api_key (str, optional): The Planet API key. Defaults to None.
token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
if name is None:
name = str(year) + "-" + str(month).zfill(2)
tile_url = common.planet_by_month(year, month, api_key, token_name)
self.add_tile_layer(
tile_url, name=name, attribution=attribution, opacity=opacity
)
add_planet_by_quarter(self, year=2016, quarter=1, api_key=None, token_name='PLANET_API_KEY', name=None, attribution='', opacity=1.0)
¶
Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
year |
int |
The year of Planet global mosaic, must be >=2016. Defaults to 2016. |
2016 |
quarter |
int |
The quarter of Planet global mosaic, must be 1-4. Defaults to 1. |
1 |
api_key |
str |
The Planet API key. Defaults to None. |
None |
token_name |
str |
The environment variable name of the API key. Defaults to "PLANET_API_KEY". |
'PLANET_API_KEY' |
name |
str |
Name of the layer. Defaults to 'TileLayer'. |
None |
attribution |
str |
The attribution to use. Defaults to "". |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
Source code in leafmap/plotlymap.py
def add_planet_by_quarter(
self,
year: Optional[int] = 2016,
quarter: Optional[int] = 1,
api_key: Optional[str] = None,
token_name: Optional[str] = "PLANET_API_KEY",
name: Optional[str] = None,
attribution: str = "",
opacity: Optional[float] = 1.0,
) -> None:
"""Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/
Args:
year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
quarter (int, optional): The quarter of Planet global mosaic, must be 1-4. Defaults to 1.
api_key (str, optional): The Planet API key. Defaults to None.
token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
if name is None:
name = str(year) + "-" + "q" + str(quarter)
tile_url = common.planet_by_quarter(year, quarter, api_key, token_name)
self.add_tile_layer(
tile_url, name=name, attribution=attribution, opacity=opacity
)
add_scatter_plot_demo(self, **kwargs)
¶
Adds a scatter plot to the map.
Source code in leafmap/plotlymap.py
def add_scatter_plot_demo(self, **kwargs) -> None:
"""Adds a scatter plot to the map."""
lons = np.random.random(1000) * 360.0
lats = np.random.random(1000) * 180.0 - 90.0
z = np.random.random(1000) * 50.0
self.add_scattermapbox(
lon=lons, lat=lats, marker={"color": z}, name="Random points", **kwargs
)
add_stac_layer(self, url=None, collection=None, items=None, assets=None, bands=None, titiler_endpoint=None, name='STAC Layer', attribution='', opacity=1.0, **kwargs)
¶
Adds a STAC TileLayer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
url |
str |
HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json |
None |
collection |
str |
The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2. |
None |
items |
str |
The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1. |
None |
assets |
str | list |
The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"]. |
None |
bands |
list |
A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"] |
None |
titiler_endpoint |
str |
Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None. |
None |
name |
str |
The layer name to use for the layer. Defaults to 'STAC Layer'. |
'STAC Layer' |
attribution |
str |
The attribution to use. Defaults to ''. |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
Source code in leafmap/plotlymap.py
def add_stac_layer(
self,
url: str = None,
collection: str = None,
items: str = None,
assets: str = None,
bands: List = None,
titiler_endpoint: Optional[str] = None,
name: Optional[str] = "STAC Layer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a STAC TileLayer to the map.
Args:
url (str): HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json
collection (str): The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2.
items (str): The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1.
assets (str | list): The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"].
bands (list): A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"]
titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None.
name (str, optional): The layer name to use for the layer. Defaults to 'STAC Layer'.
attribution (str, optional): The attribution to use. Defaults to ''.
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
tile_url = common.stac_tile(
url, collection, items, assets, bands, titiler_endpoint, **kwargs
)
center = common.stac_center(url, collection, items, titiler_endpoint)
self.add_tile_layer(tile_url, name, attribution, opacity)
self.set_center(lon=center[0], lat=center[1], zoom=10)
add_tile_layer(self, url, name='TileLayer', attribution='', opacity=1.0, **kwargs)
¶
Adds a TileLayer to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
url |
str |
The URL of the tile layer. |
required |
name |
str |
Name of the layer. Defaults to 'TileLayer'. |
'TileLayer' |
attribution |
str |
The attribution to use. Defaults to "". |
'' |
opacity |
float |
The opacity of the layer. Defaults to 1. |
1.0 |
Source code in leafmap/plotlymap.py
def add_tile_layer(
self,
url: str,
name: Optional[str] = "TileLayer",
attribution: Optional[str] = "",
opacity: Optional[float] = 1.0,
**kwargs,
) -> None:
"""Adds a TileLayer to the map.
Args:
url (str): The URL of the tile layer.
name (str, optional): Name of the layer. Defaults to 'TileLayer'.
attribution (str): The attribution to use. Defaults to "".
opacity (float, optional): The opacity of the layer. Defaults to 1.
"""
layer = {
"below": "traces",
"sourcetype": "raster",
"sourceattribution": attribution,
"source": [url],
"opacity": opacity,
"name": name,
}
layers = list(self.layout.mapbox.layers) + [layer]
self.update_layout(mapbox_layers=layers)
clear_controls(self)
¶
Removes all controls from the map.
Source code in leafmap/plotlymap.py
def clear_controls(self):
"""Removes all controls from the map."""
config = {
"scrollZoom": True,
"displayModeBar": False,
"editable": True,
"showLink": False,
"displaylogo": False,
}
self.show(toolbar=False, config=config)
clear_layers(self, clear_basemap=False)
¶
Clears all layers from the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
clear_basemap |
bool |
If True, clears the basemap. Defaults to False. |
False |
Source code in leafmap/plotlymap.py
def clear_layers(self, clear_basemap: Optional[bool] = False):
"""Clears all layers from the map.
Args:
clear_basemap (bool, optional): If True, clears the basemap. Defaults to False.
"""
if clear_basemap:
self.data = []
else:
if len(self.data) > 1:
self.data = self.data[:1]
find_layer_index(self, name)
¶
Finds the index of a layer.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str |
Name of the layer to find. |
required |
Returns:
| Type | Description |
|---|---|
int |
Index of the layer. |
Source code in leafmap/plotlymap.py
def find_layer_index(self, name: str) -> int:
"""Finds the index of a layer.
Args:
name (str): Name of the layer to find.
Returns:
int: Index of the layer.
"""
for i, layer in enumerate(self.data):
if layer.name == name:
return i
for i, layer in enumerate(self.layout.mapbox.layers):
if layer["name"] == name:
return i
return None
get_data_layers(self)
¶
Returns a dictionary of data layers in the map.
Returns:
| Type | Description |
|---|---|
dict |
A dictionary of data layers in the map. |
Source code in leafmap/plotlymap.py
def get_data_layers(self) -> Dict:
"""Returns a dictionary of data layers in the map.
Returns:
dict: A dictionary of data layers in the map.
"""
layers = {}
for layer in self.data:
if layer.name is not None and layer.name != "trace 0":
layers[layer.name] = layer
return layers
get_layers(self)
¶
Returns a dictionary of all layers in the map.
Returns:
| Type | Description |
|---|---|
dict |
A dictionary of all layers in the map. |
Source code in leafmap/plotlymap.py
def get_layers(self) -> Dict:
"""Returns a dictionary of all layers in the map.
Returns:
dict: A dictionary of all layers in the map.
"""
layers = {}
for layer in self.layout.mapbox.layers:
if layer["name"] is not None:
layers[layer["name"]] = layer
for layer in self.data:
if layer.name is not None and layer.name != "trace 0":
layers[layer.name] = layer
return layers
get_tile_layers(self)
¶
Returns a dictionary of tile layers in the map.
Returns:
| Type | Description |
|---|---|
dict |
A dictionary of tile layers in the map. |
Source code in leafmap/plotlymap.py
def get_tile_layers(self) -> Dict:
"""Returns a dictionary of tile layers in the map.
Returns:
dict: A dictionary of tile layers in the map.
"""
layers = {}
for layer in self.layout.mapbox.layers:
if layer["name"] is not None:
layers[layer["name"]] = layer
return layers
remove_basemap(self, name)
¶
Removes a basemap from the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str |
Name of the basemap to remove. |
required |
Source code in leafmap/plotlymap.py
def remove_basemap(self, name: str) -> None:
"""Removes a basemap from the map.
Args:
name (str): Name of the basemap to remove.
"""
layers = list(self.layout.mapbox.layers)
layers = [layer for layer in layers if layer["name"] != name]
self.layout.mapbox.layers = layers
remove_controls(self, controls)
¶
Removes controls to the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
controls |
list |
List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb |
required |
Source code in leafmap/plotlymap.py
def remove_controls(self, controls: List):
"""Removes controls to the map.
Args:
controls (list): List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb
"""
if isinstance(controls, str):
controls = [controls]
elif not isinstance(controls, list):
raise ValueError(
"Controls must be a string or a list of strings. See https://bit.ly/3Jk7wkb"
)
self.update_layout(modebar_remove=controls)
remove_layer(self, name)
¶
Removes a layer from the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str |
Name of the layer to remove. |
required |
Source code in leafmap/plotlymap.py
def remove_layer(self, name: str) -> None:
"""Removes a layer from the map.
Args:
name (str): Name of the layer to remove.
"""
if name in self.get_data_layers():
self.data = [layer for layer in self.data if layer.name != name]
elif name in self.get_tile_layers():
self.layout.mapbox.layers = [
layer for layer in self.layout.mapbox.layers if layer["name"] != name
]
save(self, file, format=None, width=None, height=None, scale=None, **kwargs)
¶
Convert a map to a static image and write it to a file or writeable object
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
file |
str |
A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor) |
required |
format |
str |
The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None. |
None |
width |
int |
The width of the exported image in layout pixels. If the |
None |
height |
int |
The height of the exported image in layout pixels. If the |
None |
scale |
int |
The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None. |
None |
Source code in leafmap/plotlymap.py
def save(
self,
file: str,
format: Optional[str] = None,
width: Optional[int] = None,
height: Optional[int] = None,
scale: Optional[int] = None,
**kwargs,
) -> None:
"""Convert a map to a static image and write it to a file or writeable object
Args:
file (str): A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor)
format (str, optional): The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None.
width (int, optional): The width of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the width of the exported image in physical pixels.. Defaults to None.
height (int, optional): The height of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the height of the exported image in physical pixels.. Defaults to None.
scale (int, optional): The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None.
"""
self.write_image(
file, format=format, width=width, height=height, scale=scale, **kwargs
)
set_center(self, lat, lon, zoom=None)
¶
Sets the center of the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
lat |
float |
Latitude. |
required |
lon |
float |
Longitude. |
required |
zoom |
int |
Zoom level of the map. Defaults to None. |
None |
Source code in leafmap/plotlymap.py
def set_center(self, lat: float, lon: float, zoom: Optional[float] = None) -> None:
"""Sets the center of the map.
Args:
lat (float): Latitude.
lon (float): Longitude.
zoom (int, optional): Zoom level of the map. Defaults to None.
"""
self.update_layout(
mapbox=dict(
center=dict(lat=lat, lon=lon),
zoom=zoom if zoom is not None else self.layout.mapbox.zoom,
)
)
set_layer_opacity(self, name, opacity=1)
¶
Sets the visibility of a layer.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str |
Name of the layer to set. |
required |
opacity |
float |
Opacity of the layer. Defaults to 1. |
1 |
Source code in leafmap/plotlymap.py
def set_layer_opacity(self, name: str, opacity: Optional[float] = 1) -> None:
"""Sets the visibility of a layer.
Args:
name (str): Name of the layer to set.
opacity (float, optional): Opacity of the layer. Defaults to 1.
"""
if name in self.get_tile_layers():
index = self.find_layer_index(name)
self.layout.mapbox.layers[index].opacity = opacity
elif name in self.get_data_layers():
index = self.find_layer_index(name)
layer = self.data[index]
if hasattr(layer, "opacity"):
layer.opacity = opacity
elif hasattr(layer, "marker"):
layer.marker.opacity = opacity
else:
print(f"Layer {name} not found.")
set_layer_visibility(self, name, show=True)
¶
Sets the visibility of a layer.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str |
Name of the layer to set. |
required |
show |
bool |
If True, shows the layer. Defaults to True. |
True |
Source code in leafmap/plotlymap.py
def set_layer_visibility(self, name: str, show: Optional[bool] = True) -> None:
"""Sets the visibility of a layer.
Args:
name (str): Name of the layer to set.
show (bool, optional): If True, shows the layer. Defaults to True.
"""
if name in self.get_tile_layers():
index = self.find_layer_index(name)
self.layout.mapbox.layers[index].visible = show
elif name in self.get_data_layers():
index = self.find_layer_index(name)
self.data[index].visible = show
else:
print(f"Layer {name} not found.")
show(self, toolbar=True, map_min_width='91%', map_max_width='98%', refresh=False, **kwargs)
¶
Shows the map.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
toolbar |
bool |
Whether to show the toolbar. Defaults to True. |
True |
map_min_width |
str |
The minimum width of the map. Defaults to '91%'. |
'91%' |
map_max_width |
str |
The maximum width of the map. Defaults to '98%'. |
'98%' |
refresh |
bool |
Whether to refresh the map when the map is resized. Defaults to False. |
False |
Returns:
| Type | Description |
|---|---|
Canvas |
Map canvas. |
Source code in leafmap/plotlymap.py
def show(
self,
toolbar: Optional[bool] = True,
map_min_width: Optional[str] = "91%",
map_max_width: Optional[str] = "98%",
refresh: Optional[bool] = False,
**kwargs,
) -> None:
"""Shows the map.
Args:
toolbar (bool, optional): Whether to show the toolbar. Defaults to True.
map_min_width (str, optional): The minimum width of the map. Defaults to '91%'.
map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
Returns:
Canvas: Map canvas.
"""
if not toolbar:
super().show(**kwargs)
else:
canvas = Canvas(
self,
map_min_width=map_min_width,
map_max_width=map_max_width,
map_refresh=refresh,
)
return canvas.canvas
fix_widget_error()
¶
Fix FigureWidget - 'mapbox._derived' Value Error. Adopted from: https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816
Source code in leafmap/plotlymap.py
def fix_widget_error() -> None:
"""
Fix FigureWidget - 'mapbox._derived' Value Error.
Adopted from: https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816
"""
import shutil
import importlib.resources
pkg_dir = os.path.dirname(importlib.resources.files("plotly") / "plotly.py")
basedatatypesPath = os.path.join(pkg_dir, "basedatatypes.py")
backup_file = basedatatypesPath.replace(".py", "_bk.py")
shutil.copyfile(basedatatypesPath, backup_file)
# read basedatatypes.py
with open(basedatatypesPath, "r") as f:
lines = f.read()
find = "if not BaseFigure._is_key_path_compatible(key_path_str, self.layout):"
replace = """if not BaseFigure._is_key_path_compatible(key_path_str, self.layout):
if key_path_str == "mapbox._derived":
return"""
# add new text
lines = lines.replace(find, replace)
# overwrite old 'basedatatypes.py'
with open(basedatatypesPath, "w") as f:
f.write(lines)