Interactive Data Exploration
Interactive Data Exploration¶
This notebook demonstrates how the functions and techniques we covered in the first notebook can be combined to build interactive data exploration tools. The panel enables exploration of LIS output using an interactive map.
Note: some cells below take several minutes to run and some aspects of the interactive widgets may not work in the rendered version on the Hackweek site.
import numpy as np import pandas as pd import geopandas import xarray as xr import fsspec import s3fs from datetime import datetime as dt from scipy.spatial import distance import holoviews as hv, geoviews as gv from geoviews import opts from geoviews import tile_sources as gvts from datashader.colors import viridis import datashader from holoviews.operation.datashader import datashade, shade, dynspread, spread, rasterize from holoviews.streams import Selection1D, Params import panel as pn import param as pm import hvplot.pandas import hvplot.xarray import warnings import holoviews.operation.datashader as hd warnings.filterwarnings("ignore")