Get data from the crime map
Project description
Get data from the NYC Crime Map, and save them as geojson and CSV files.
Getting data I have already saved
If you just want to get the data in geojson or CSV format, go to http://dada.pink/nyc-crime-map-data/.
Running the program
If you want to run the program, perhaps to get the most recent data, you can run the program. I present a couple ways of doing this.
Installing from PyPI
You can install the package like so
sudo pip install nyc-crime-map
and then run it like so.
nyc-crime-map
A data directory will be created inside your working directory, and you’ll find the results here.
cat nyc-crime-map/data/02378420399528461352-17772055697785505571.geojson cat nyc-crime-map/data/02378420399528461352-17772055697785505571.csv
Running from the checked-out repository
Perhaps you don’t have pip installed; in that case, you can do this.
git clone git://github.com/tlevine/nyc-crime-map.git --recursive # Delete the cached data. rm nyc-crime-map/data/all_results/* # Run the program. cd nyc-crime-map ./nyc-crime-map # View the results. cat nyc-crime-map/data/02378420399528461352-17772055697785505571.geojson cat nyc-crime-map/data/02378420399528461352-17772055697785505571.csv
More about the data
The data are stored in two tables.
02378420399528461352-11853667273131550346
02378420399528461352-17772055697785505571
The latter of these tables contains a “CR” field for the crime type; the former does not.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file nyc-crime-map-0.3.2.tar.gz
.
File metadata
- Download URL: nyc-crime-map-0.3.2.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cd423a7042b2fad2f7f165a86ccc0b7816577284eb7ecb52c7f265a5d513073c |
|
MD5 | 30e7b29ad452ec9868668e93a70382a1 |
|
BLAKE2b-256 | 8ebea39e1344815d6cfea18421c505d6e78c141ff0e5a10db284011ff471fcbe |