Add Filter Geo Map

Import libraries¶

In [1]:

import geopandas as gpd
import ipywidgets as widgets
from IPython.display import display
import hagerstrand as hs
import pandas as pd
import ipyleaflet

Load data as (Geo)DataFrame¶

In [2]:

lines = gpd.read_file("../../examples/data/cbg_poi_lines.json")

In [3]:

len(lines)

Out[3]:

4085

Deduplicate rows¶

In [4]:

lines = hs.ExtendedDataFrame(lines)

lines = lines.deduplicate(["PlusCode", "GEOID"])

In [5]:

len(lines)

Out[5]:

3232

Set variables¶

In [6]:

df = lines.copy()
field = "GEOID"

Filter a (Geo)DataFrame based on a single value in a column¶

In [7]:

hs.filter_df_widget(df=df, field=field)

Center map and initialize Google Earth Engine¶

In [8]:

Map_hs = hs.Map(center=[35.9606,-83.9207], zoom=10) # Create map instance
hs.ee_initialize() # Initialize Google Earth Engine

Add a GeoDataFrame to the map¶

In [9]:

linez = gpd.GeoDataFrame(df)

In [10]:

Map_hs.add_gdf(linez)

Load interactive map¶

In [11]:

Map_hs

Longer way of converting geopandas GeoDataFrame to the map based on ipyleaflet functions¶

Convert a pandas DataFrame to a GeoJSON¶

In [12]:

hs.df_to_geojson(df, properties, vector_geom='LineString', coords=["geometry"], out_geojson="../../data/sample.geojson")

Convert a pandas GeoDataFrame into an ipyleaflet.GeoData object that can be added to a map¶

In [13]:

linez_geoData = ipyleaflet.GeoData(geo_dataframe=linez, name="CBG to Store Connections")
Map_hs.add_layer(linez_geoData)

In [ ]:

Map_hs

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Last update: 2021-05-03