import pandas as pd import glob pj = '/Users/danielmsheehan/Desktop/data/' pj = '/Users/danielmsheehan/Dropbox/data/' csvList = glob.glob(pj+'tables/'+"*.csv") #remove _sm x = [] for i in csvList: i = i.replace(pj+'tables/','').replace('.csv','') #remove _sm #print i x.append(i) print x df_list = [] for i in x: df = pd.read_csv(pj+'output/tables/d_'+i+'.csv', dtype={'geoid':object}) df['geoid'] = df['geoid'].astype(str) df_list.append(df) #print df_list dfc = pd.concat(df_list) dfc['geoid'] = dfc['geoid'].astype(str) dfc['type'] = 'd' dfc.columns = ['tuid','dist_roadbed','geoid','dist_bldg_hght','type'] print dfc.dtypes dfc.to_csv(pj+'output/d_2013.csv', index=False) print len(dfc.index) %reset import pandas as pd import glob pj = '/Users/danielmsheehan/Desktop/data/' pj = '/Users/danielmsheehan/Dropbox/data/' csvList = glob.glob(pj+'tables/'+"*.csv") #remove _sm x = [] for i in csvList: i = i.replace(pj+'tables/','').replace('.csv','') #remove _sm #print i x.append(i) print x df_list = [] for i in x: df = pd.read_csv(pj+'output/tables/p_'+i+'.csv', dtype={'geoid':object}) df['geoid'] = df['geoid'].astype(str) df_list.append(df) #print df_list dfc = pd.concat(df_list) dfc['geoid'] = dfc['geoid'].astype(str) dfc['type'] = 'p' dfc.columns = ['tuid','dist_roadbed','geoid','dist_bldg_hght','type'] print dfc.dtypes dfc.to_csv(pj+'output/p_2013.csv', index=False) print len(dfc.index) %reset import pandas as pd import glob pj = '/Users/danielmsheehan/Desktop/data/' pj = '/Users/danielmsheehan/Dropbox/data/' csvList = glob.glob(pj+'output/'+"*.csv") #remove _sm x = [] for i in csvList: i = i.replace(pj+'output/','').replace('.csv','') #remove _sm #print i x.append(i) print x df_list = [] for i in x: df = pd.read_csv(pj+'output/'+i+'.csv', dtype={'geoid':object}) df['geoid'] = df['geoid'].astype(str) df_list.append(df) #print df_list dfc = pd.concat(df_list) dfc.to_csv(pj+'output/all/taxi_2013.csv', index=False) print dfc.dtypes print len(dfc.index) %reset