Michelle Ho michellemho

## s_join_experiments.ipynb

      
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                michellemho
                / s_join_experiments.ipynb
            
            
              Created
              June 16, 2019 22:38
            
              
                spatial join experiments
              
          
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## sjoin_experiments.py
# METHOD 1: INDEX ON GRID, LOOP THROUGH ISOCHRONES
# Add columns of zero and empty dictionaries
grid_copy['count_unique'] = 0
grid_copy['sum_times'] = 0
empty = {key: np.inf for key in isochrones.origin.unique()}
grid_copy['unique_ids'] = [[] for i in range(len(grid_copy))]
grid_copy['min_times'] = [{key: np.inf for key in isochrones.origin.unique()} for i in range(len(grid_copy))]
spatial_index = grid_copy.sindex
for idx, isochrone in isochrones.iterrows():
    possible_matches_index = list(spatial_index.intersection(isochrone.geometry.bounds))

## faker.py
from faker import Faker

fake = Faker()

print(fake.name())
print(fake.company())
print(fake.address())

## datetime_fake.py
import numpy as np
from datetime import datetime, timedelta

start_date=datetime(2017,1,1)
end_date=datetime.today()
spring_peak = datetime(2017,4,5)
fall_peak = datetime(2017,9,15)

num_visits = 10000

## fake_911_calls.ipynb

      
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                michellemho
                / fake_911_calls.ipynb
            
            
              Created
              September 17, 2018 21:48
            
              
                Generating Emergency Call Data
              
          
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## tictactoe.py
def play_tic_tac_toe():
    print("""Let's play tictactoe! The board looks like
           #     1   2   3
           # A   A1  A2  A3
           # B   B1  B2  B3
           # C   C1  C2  C3""")

    board = [('A', 1), ('A', 2), ('A', 3),
             ('B', 1), ('B', 2), ('B', 3),
             ('C', 1), ('C', 2), ('C', 3)]

## NYC Road Collision Analysis.ipynb

      
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                michellemho
                / NYC Road Collision Analysis.ipynb
            
            
              Created
              August 10, 2018 18:35
            
              
                NYC Collision Analysis
              
          
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## Batch COPY.ipynb

      
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                michellemho
                / Batch COPY.ipynb
            
            
              Created
              June 26, 2018 21:47
            
          
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## Transfer Tables from CARTO Accounts.ipynb

      
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                michellemho
                / Transfer Tables from CARTO Accounts.ipynb
            
            
              Created
              May 30, 2018 16:18
            
              
                How to Transfer Tables
              
          
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## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8">
    <title>Flotsam and Jetsam</title>
    <!-- Include Leaflet 1.2.0 Library -->
    <link rel="stylesheet" href="https://unpkg.com/leaflet@1.2.0/dist/leaflet.css" />
    <script src="https://unpkg.com/leaflet@1.2.0/dist/leaflet.js"></script>
    <!-- Fonts -->
    <link href='https://fonts.googleapis.com/css?family=Oswald:300,400,600,700' rel='stylesheet' type='text/css'>
	# METHOD 1: INDEX ON GRID, LOOP THROUGH ISOCHRONES
	# Add columns of zero and empty dictionaries
	grid_copy['count_unique'] = 0
	grid_copy['sum_times'] = 0
	empty = {key: np.inf for key in isochrones.origin.unique()}
	grid_copy['unique_ids'] = [[] for i in range(len(grid_copy))]
	grid_copy['min_times'] = [{key: np.inf for key in isochrones.origin.unique()} for i in range(len(grid_copy))]
	spatial_index = grid_copy.sindex
	for idx, isochrone in isochrones.iterrows():
	possible_matches_index = list(spatial_index.intersection(isochrone.geometry.bounds))
	from faker import Faker

	fake = Faker()

	print(fake.name())
	print(fake.company())
	print(fake.address())
	import numpy as np
	from datetime import datetime, timedelta

	start_date=datetime(2017,1,1)
	end_date=datetime.today()
	spring_peak = datetime(2017,4,5)
	fall_peak = datetime(2017,9,15)

	num_visits = 10000
	def play_tic_tac_toe():
	print("""Let's play tictactoe! The board looks like
	# 1 2 3
	# A A1 A2 A3
	# B B1 B2 B3
	# C C1 C2 C3""")

	board = [('A', 1), ('A', 2), ('A', 3),
	('B', 1), ('B', 2), ('B', 3),
	('C', 1), ('C', 2), ('C', 3)]
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Flotsam and Jetsam</title>
	<!-- Include Leaflet 1.2.0 Library -->
	<link rel="stylesheet" href="https://unpkg.com/leaflet@1.2.0/dist/leaflet.css" />
	<script src="https://unpkg.com/leaflet@1.2.0/dist/leaflet.js"></script>
	<!-- Fonts -->
	<link href='https://fonts.googleapis.com/css?family=Oswald:300,400,600,700' rel='stylesheet' type='text/css'>