alexgleith

walkerke

library(tidycensus)
library(tidyverse)
options(tigris_use_cache = TRUE)

state_names <- c(state.name, "District of Columbia")
names(state_names) <- state_names

tictoc::tic()
age_maps <- map(state_names, ~{
  

ksonda

library(sf)
library(mapview)

# read identifiers for Colorado River and Colorado River (TX) into simple features 
colorado_river <- sf::read_sf("https://geoconnex.us/ref/mainstems/29559")
colorado_river_tx <- sf::read_sf("https://geoconnex.us/ref/mainstems/2639515")


## Function that constructs query to retrive the latest discharge observation from the USGS

mheberger

jdbcode

Earth Engine App
Earth Engine Code Editor script

/**
 * @license
 * Copyright 2021 The Google Earth Engine Community Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.

mhweber

library(jsonlite);library(sf)

#lon = -123.1121
#lat = 44.6390
#state = 'OR'

watershed = function(state, lon, lat){
  p1 = 'https://streamstats.usgs.gov/streamstatsservices/watershed.geojson?rcode='
  p2 = '&xlocation='
  p3 = '&ylocation='

debboutr

import geopandas as gpd
from shapely.geometry.polygon import Polygon
from shapely.geometry.multipolygon import MultiPolygon

def explode(indata):
    indf = gpd.GeoDataFrame.from_file(indata)
    outdf = gpd.GeoDataFrame(columns=indf.columns)
    for idx, row in indf.iterrows():
        if type(row.geometry) == Polygon:
            outdf = outdf.append(row,ignore_index=True)

dcalacci

// Jeremie Miserez <[email protected]>, 2015
//
// A little bit of Javascript to let you export your Google Music library, playlists, and album track lists :)
//
// I posted this as an answer here: http://webapps.stackexchange.com/questions/50311/print-playlist-from-google-play-music
//
// 1. Go to: https://play.google.com/music/listen#/all (or your playlist)
//
// 2. Open a developer console (F12 for Chrome). Paste 
//    code below into the console.

kapadia

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)