todo
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import geopandas as gpd | |
import pandas as pd | |
import pyarrow as pa | |
import pyarrow.feather as feather | |
import pyarrow.parquet as pq | |
import pygeos | |
import pyogrio | |
# https://ookla-open-data.s3.us-west-2.amazonaws.com/parquet/performance/type=mobile/year=2019/quarter=1/2019-01-01_performance_mobile_tiles.parquet |
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#! /usr/bin/env python3 | |
""" | |
--------------------------------------------------------------------- | |
Program: hcpcs_scrape.py | |
Author: Kyle Barron <barronk@mit.edu> | |
Created: 2/5/2018 | |
Updated: 2/5/2018 | |
Purpose: Scrape HCPCS codes from the internet | |
""" |
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# Old | |
m = leafmap.Map() | |
m.add_vector(broad_station_gdf, get_fill_color="blue") | |
m.add_vector(sts_near_broad_gdf, get_color="red", opacity=0.5) | |
m.add_vector(streets_gdf, get_color="grey", zoom_to_layer=False, opacity=0.3) | |
m | |
# New: simple method, just want to see my data: |
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lonboard==0.1.0-beta.2 | |
geopandas | |
shapely |
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# GitHub syntax highlighting | |
pixi.lock linguist-language=YAML |
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[[package]] | |
name = "affine" | |
version = "2.3.1" | |
description = "Matrices describing affine transformation of the plane." | |
category = "main" | |
optional = false | |
python-versions = "*" | |
[package.extras] | |
test = ["coveralls", "flake8", "pydocstyle", "pytest (>=4.6)", "pytest-cov"] |
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# This file is automatically @generated by Cargo. | |
# It is not intended for manual editing. | |
version = 3 | |
[[package]] | |
name = "adler" | |
version = "1.0.2" | |
source = "registry+https://github.com/rust-lang/crates.io-index" | |
checksum = "f26201604c87b1e01bd3d98f8d5d9a8fcbb815e8cedb41ffccbeb4bf593a35fe" |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8"> | |
<link rel="icon" type="image/x-icon" href="./favicon.png"> | |
<meta name="apple-mobile-web-app-capable" content="yes"> | |
<meta name="apple-mobile-web-app-status-bar-style" content="default"> | |
<meta name="theme-color" content="#0072b5"> | |
<meta name="name" content="Pyscript/Panel DeckGL Demo"> |
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import json | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
import pandas as pd | |
import numpy as np | |
def main(): | |
# Create random point data within bbox | |
size = 1_000_000 |
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