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passyunk

Address parser and standardizer for the City of Philadelphia

Installation

pip install git+https://github.com/CityOfPhiladelphia/passyunk

If you have been granted access to the private data files, you can install the passyunk_automation package at the same time by running

pip install "passyunk[private] @ git+https://github.com/CityOfPhiladelphia/passyunk"

To find where passyunk is installed, from the command line run

python
import passyunk
passyunk.__file__

Usage

Quickstart

from passyunk.parser import PassyunkParser
p = PassyunkParser()
parsed = p.parse('1234 MARKET ST')
standardized_address = parsed['components']['output_address']

Parser.parse(address)

Takes an address, standardizes it, and returns a dictionary of address components.

{
  "components": {
    "address": {
      "addr_suffix": null,
      "addrnum_type": "N",
      "fractional": null,
      "full": "1234",
      "high": null,
      "high_num": null,
      "high_num_full": null,
      "isaddr": true,
      "low": "1234",
      "low_num": 1234,
      "parity": "E"
    },
    "address_unit": {
      "unit_num": null,
      "unit_type": null
    },
    "base_address": "1234 MARKET ST",
    "cl_addr_match": "A",
    "cl_responsibility": "STATE",
    "cl_seg_id": "440394",
    "election": {
      "blockid": "24021362",
      "precinct": "0528"
    },
    "mailing": {
      "bldgfirm": "MARKET STREET BLDG",
      "matchdesc": "Multiple Zip4 Matches",
      "uspstype": "H",
      "zip4": "3721",
      "zipcode": "19107"
    },
    "output_address": "1234 MARKET ST",
    "street": {
      "full": "MARKET ST",
      "is_centerline_match": true,
      "name": "MARKET",
      "parse_method": "CL1",
      "postdir": null,
      "predir": null,
      "score": null,
      "street_code": "53560",
      "suffix": "ST"
    },
    "street_2": {
      "full": null,
      "is_centerline_match": false,
      "name": null,
      "parse_method": null,
      "postdir": null,
      "predir": null,
      "score": null,
      "street_code": null,
      "suffix": null
    }
  },
  "input_address": "1234 market street",
  "type": "address"
}

Data Updates

The data in the folder folder passyunk/pdata is public; the files centerline.csv and centerline_streets.csv are refreshed on a continual basis, and each data update will create a new version tag for this repository in the format '1.x.0'.

The private data is housed in the separate passyunk_automation package, where files are updated on a monthly basis. Each private data update will result in a new private version tag for this repository in the format '1.y.0+private'.

Thus the version 1.4.0 refers solely to the 4th public data update while the version 1.4.0+private refers solely to the 4th private data update. No public data will be updated in a new private data version nor vice-versa, so 1.4.0 and 1.4.0+private have no connection to each other, breaking a rule of SemVer syntax. However, 1.4.0 does contain updated public data compared to 1.3.0, and 1.4.0+private does contain updated private data compared to 1.3.0+private.

When passyunk is first imported into a python script, it will warn the user if the module's public data version is less than the latest public data version tag on GitHub. Similarly, if it detects that passyunk_automation has been installed, it will perform the same check for the private data version. The module will still work fine even if the data is out-of-date.

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A parser/standardizer for Philadelphia addresses

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