In [ ]:

# This file is part of the Minnesota Population Center's NHGISXWALK.
# For copyright and licensing information, see the NOTICE and LICENSE files
# in this project's top-level directory, and also on-line at:
#   https://github.com/ipums/nhgisxwalk

Split out base crosswalks into states w/`README.txt` files¶

`blk{1990/2000}{ge/gj}-blk2010{ge/gj}`¶

NHGIS block crosswalks ¶

James D. Gaboardi, 06/2020

In [1]:

%load_ext watermark
%watermark

2020-10-01T17:59:32-04:00

CPython 3.8.5
IPython 7.18.1

compiler   : Clang 10.0.1 
system     : Darwin
release    : 19.6.0
machine    : x86_64
processor  : i386
CPU cores  : 8
interpreter: 64bit

In [2]:

import glob
import nhgisxwalk
import shutil

%load_ext autoreload
%autoreload 2
%watermark -w
%watermark -iv

watermark 2.0.2
nhgisxwalk 0.0.9post1

Fetch path for each original crosswalk¶

In [3]:

# Set this to a local directory
cross_dir_in = "path/to/data/"
cross_zip_in = [f for f in glob.glob(cross_dir_in+"nhgis_blk*") if f.endswith("zip")]

In [4]:

# Set this to a local directory
cross_dir_out = "path/to/data/"

Declare target column names for each original crosswalk¶

In [5]:

target_columns = ["GJOIN2010", "GEOID10", "GJOIN2010", "GEOID10"]
target_columns

Out[5]:

['GJOIN2010', 'GEOID10', 'GJOIN2010', 'GEOID10']

Regenerate sorted crosswalks, split crosswalk by state, and write out¶

In [6]:

dtype = nhgisxwalk.str_types(nhgisxwalk.ID_COLS)
for f, tcol in list(zip(cross_zip_in, target_columns)):
    nhgisxwalk.regenerate_blk_blk_xwalk(f, cross_dir_out, tcol, dtype)

Split out base crosswalks into states w/README.txt files¶

blk{1990/2000}{ge/gj}-blk2010{ge/gj}¶

NHGIS block crosswalks¶

Fetch path for each original crosswalk¶

Declare target column names for each original crosswalk¶

Regenerate sorted crosswalks, split crosswalk by state, and write out¶

Split out base crosswalks into states w/`README.txt` files¶

`blk{1990/2000}{ge/gj}-blk2010{ge/gj}`¶

NHGIS block crosswalks ¶