import os import fiona import geopandas as gpd import streamlit as st def save_uploaded_file(file_content, file_name): """ Save the uploaded file to a temporary directory """ import tempfile import os import uuid _, file_extension = os.path.splitext(file_name) file_id = str(uuid.uuid4()) file_path = os.path.join(tempfile.gettempdir(), f"{file_id}{file_extension}") with open(file_path, "wb") as file: file.write(file_content.getbuffer()) return file_path def app(): st.title("Upload Vector Data") row1_col1, row1_col2 = st.columns([2, 1]) width = 950 height = 600 with row1_col2: backend = st.selectbox( "Select a plotting backend", ["folium", "kepler.gl", "pydeck"], index=2 ) if backend == "folium": import leafmap.foliumap as leafmap elif backend == "kepler.gl": import leafmap.kepler as leafmap elif backend == "pydeck": import leafmap.deck as leafmap url = st.text_input( "Enter a URL to a vector dataset", "https://github.com/giswqs/streamlit-geospatial/raw/master/data/us_states.geojson", ) data = st.file_uploader( "Upload a vector dataset", type=["geojson", "kml", "zip", "tab"] ) container = st.container() if data or url: if data: file_path = save_uploaded_file(data, data.name) layer_name = os.path.splitext(data.name)[0] elif url: file_path = url layer_name = url.split("/")[-1].split(".")[0] with row1_col1: if file_path.lower().endswith(".kml"): fiona.drvsupport.supported_drivers["KML"] = "rw" gdf = gpd.read_file(file_path, driver="KML") else: gdf = gpd.read_file(file_path) lon, lat = leafmap.gdf_centroid(gdf) if backend == "pydeck": column_names = gdf.columns.values.tolist() random_column = None with container: random_color = st.checkbox("Apply random colors", True) if random_color: random_column = st.selectbox( "Select a column to apply random colors", column_names ) m = leafmap.Map(center=(lat, lon)) m.add_gdf(gdf, random_color_column=random_column) st.pydeck_chart(m) else: m = leafmap.Map(center=(lat, lon), draw_export=True) m.add_gdf(gdf, layer_name=layer_name) # m.add_vector(file_path, layer_name=layer_name) if backend == "folium": m.zoom_to_gdf(gdf) m.to_streamlit(width=width, height=height) else: with row1_col1: m = leafmap.Map() st.pydeck_chart(m)