The geojson data that you pass to GeoJSONDataSource is stored in its geojson property -- as a string. My suggestion isn't particularly elegant: you can just parse the json string using the built-in json module. Here's a working version of update_plot_from_geo that updates the line plot based on the selected polygon:
def update_plot_from_geo(event):
# update the line chart based on the selected polygon
indices = geo_source.selected['1d']['indices']
if indices:
parsed_geojson = json.loads(geo_source.geojson)
features = parsed_geojson['features']
series_key = features[indices[0]]['properties']['key']
new_source = get_source(df, series_key)
src.data.update(new_source.data)Cesium Sandcastle GeoJSON and TopoJSON Demo,Cesium Sandcastle GeoJSON simplestyle Demo
Example:
const viewer = new Cesium.Viewer('cesiumContainer');
viewer.dataSources.add(Cesium.GeoJsonDataSource.load('../../SampleData/ne_10m_us_states.topojson', {
stroke: Cesium.Color.HOTPINK,
fill: Cesium.Color.PINK,
strokeWidth: 3,
markerSymbol: '?'
}));GIS data has two parts - features and attributes. Attributes are structured data about each feature. This tutorial shows how to view the attributes of a GIS vector layer and do basic queries on them in QGIS.,Close the attribute table window and return to the main QGIS window. You will notice that a subset of points is now rendered in yellow. This is the result of our query and the selected points are the ones having pop_max attribute value greater than 1000000.,You will notice that some rows in the attribute table are now selected. The label window also changes and shows the count of selected features.,Return to the main QGIS window. Now you will see a smaller subset of the points selected. This is the result of the second query and shows all places from the dataset that are country capitals as well as have population greater than 1 million.
"pop_max" > 1000000"pop_max" > 1000000 and "adm0cap" = 1all selected features have the same value for this field and the value displayed in the form will be kept.,at the right side of the attribute table, fields (and values) of selected features are shown. New widgets appear next to each field allowing for display of the current multi edit state:,The attribute table displays information on features of a selected layer. Each row in the table represents a feature (with or without geometry), and each column contains a particular piece of information about the feature. Features in the table can be searched, selected, moved or even edited.,typing the new value directly in the cell, whether the attribute table is in table or form view. Changes are hence done cell by cell, feature by feature;
ALTER TABLE location.airlines
ADD CONSTRAINT location_airlines_airports_id_fkey
FOREIGN KEY(id)
REFERENCES location.airports(id)
ON DELETE CASCADE;max_dec_digits, if specified, limits the number of decimal digits for coordinates and causes rounding of output. If not specified, this argument defaults to its maximum value of 232 − 1. The minimum is 0. , GeoJSON supports the same geometric/geographic data types that MySQL supports. Feature and FeatureCollection objects are not supported, except that geometry objects are extracted from them. CRS support is limited to values that identify an SRID. , options, if specified, is a bitmask. The following table shows the permitted flag values. If the geometry argument has an SRID of 0, no CRS object is produced even for those flag values that request one. , Generates a GeoJSON object from the geometry g. The object string has the connection character set and collation.
mysql > SELECT ST_AsGeoJSON(ST_GeomFromText('POINT(11.11111 12.22222)'), 2); +
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +
|
ST_AsGeoJSON(ST_GeomFromText('POINT(11.11111 12.22222)'), 2) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +
|
{
"type": "Point",
"coordinates": [11.11, 12.22]
} |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +This example shows the parsing result for a simple GeoJSON object. Observe that the order of coordinates depends on the SRID used.
mysql > SET @json = '{ "type": "Point", "coordinates": [102.0, 0.0]}';
mysql > SELECT ST_AsText(ST_GeomFromGeoJSON(@json)); +
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
|
ST_AsText(ST_GeomFromGeoJSON(@json)) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
|
POINT(0 102) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
mysql > SELECT ST_SRID(ST_GeomFromGeoJSON(@json)); +
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
|
ST_SRID(ST_GeomFromGeoJSON(@json)) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
|
4326 |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- +
mysql > SELECT ST_AsText(ST_SRID(ST_GeomFromGeoJSON(@json), 0)); +
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +
|
ST_AsText(ST_SRID(ST_GeomFromGeoJSON(@json), 0)) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +
|
POINT(102 0) |
+ -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- - +Like GeoJson.io, Mapshaper is a free, open-source editor that can convert geospatial files, edit attribute data, filter and dissolve features, simplify boundaries to make files smaller, and many more. Mapshaper’s edit and join commands are much more powerful than the GeoJson.io tool. Unlike GeoJson.io, Mapshaper doesn’t have drawing tools, so you won’t be able to create geospatial files from scratch.,Under the cursor tool, select edit attributes.,You can inspect attribute data of polygons using Cursor > inspect features tool, and save the resulting file using the Export button. Remember to rename an exported GeoJSON file from .json to .geojson format.,Tip: Mapshaper doesn’t work with KML or KMZ files, but you can use GeoJson.io to first convert them into GeoJSON format, then upload to Mapshaper.
In real life, you will rarely have perfect files with one-to-one matches, so you might want to have more information about which features didn’t get matched so that you can fix your data. Mapshaper helps you keep track of data that is not properly joined or matched. For example, if the polygon map contains 169 features (one for each town in Connecticut), but the CSV table contains only 168 rows of data, Mapshaper will join all of those with matching keys, and then display this message:
[join] Joined data from 168 source records to 168 target records
[join] 1 / 169 target records received no data[join] 1 / 169 source records could not be joinedThe GeoJSONLayer allows you to add features from a GeoJSON file (.geojson). The file is referenced as a hosted file on the web. Because of this, the file must be publicly accessible.,This sample shows how to add an instance of GeoJSONLayer to a Map in a MapView. The resulting point features can be queried via the API and then subsequently used as input for other operations.,If GeoJSON files are not on the same domain as your website, a CORS-enabled server or a proxy is required.,CSV and GeoJSONIntro to CSVLayerCSVLayer - Project points on the flyHighlight features by geometryGeoJSONLayerGeoJSONLayer with dynamic URLFilter features with TimeSlider
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const geojsonLayer = new GeoJSONLayer({
url: url,
copyright: "USGS Earthquakes",
popupTemplate: template
});