#!/usr/bin/env python # -*- coding: utf-8 -*- ## execute function zillow_ngrams() for particular zillow files import os os.chdir("/Users/dnoriega/Documents/Github/zillow_projects") from zillow_ngrams import ngrams # import ngrams() from module 'zillow_ngrams' # set the output directory os.chdir("/Volumes/UNTITLED") # take random samples of raw data set for testing #ngrams("/Users/dnoriega/Dropbox/SolarHedonic/text analysis/data/atype76.csv", 'zillow',1,20000) # construct ngrams from green homes listings ngrams("/Users/dnoriega/Dropbox/SolarHedonic/text analysis/data/green_homes_list.csv",'green',0) # construct ngrams from full set and save small sample sets as well ngrams("/Users/dnoriega/Dropbox/SolarHedonic/text analysis/data/atype76_raw.csv", 'zillow',0)
#!/usr/bin/env python # -*- coding: utf-8 -*- ## execute function zillow_ngrams() for particular zillow files import os from zillow_ngrams import ngrams # import ngrams() from module 'zillow_ngrams' # take random samples of raw data set for testing os.chdir("D:/Dan's Workspace/GitHub Repository/zillow_projects/data") ngrams("D:/Dan's Workspace/Zillow/data/atype76.csv", "zillow", 1, 20000) # construct ngrams from green homes listings ngrams("green_homes_list.csv", "green", 0) # construct ngrams from full set and save small sample sets as well os.chdir("D:/Dan's Workspace/Zillow/data/") # change the directory for large files ngrams("atype76.csv", "zillow", 0) ngrams("D:/Dan's Workspace/Zillow/data/atype76.csv", "zillow", 1, 20000) ngrams("green_homes_list.csv", "green", 0)