if DOWNLOAD_pyPNAD is True: import urllib.request urllib.request.urlretrieve( "https://raw.githubusercontent.com/omercadopopular/cgoes/master/tinyapps/pyPNAD/pyPNAD.py", "pyPNAD.py") # Import pyPNAD, load PNAD Contínua data from raw text file and SAS dictionary if IMPORTRAW is True: from pyPNAD import pyPNAD DATAFILE = PATH + 'PNADC_032012.txt' INPUTFILE = PATH + 'Input_PNADC_trimestral.txt' CSVFILE = PATH + 'PNADC_032012.csv' DF = pyPNAD.load(DATAFILE, INPUTFILE) DF.to_csv(CSVFILE) ############### # IMPORT DATA # ############### # Import from csv DF = pd.read_csv(CSVFILE) ################### # PREPARE DATASET # ###################
if DOWNLOAD_pyPNAD is True: import urllib.request urllib.request.urlretrieve("https://raw.githubusercontent.com/omercadopopular/cgoes/master/tinyapps/pyPNAD/pyPNAD.py", "pyPNAD.py") # Import pyPNAD, load PNAD Contínua data from raw text file and SAS dictionary if IMPORTRAW is True: from pyPNAD import pyPNAD DATAFILE = PATH + 'PNADC_032012.txt' INPUTFILE = PATH + 'Input_PNADC_trimestral.txt' CSVFILE = PATH + 'PNADC_032012.csv' DF = pyPNAD.load(DATAFILE, INPUTFILE) DF.to_csv(CSVFILE) ############### # IMPORT DATA # ############### # Import from csv DF = pd.read_csv(CSVFILE) ################### # PREPARE DATASET # ###################