theData = getAllFields(theSymbol)
data.append(theData)
except:
print >> sys.stderr, "Failed trying to get data for %s" % (theSymbol,)
return data
def processSymbols(symbolList=sys.argv[1:]):
#pool = multiprocessing.Pool(processes=1)
#return filter(None, pool.map(getAllFields, symbolList))
return filter(None, map(getAllFields, symbolList))
#from pyGTrends import pyGTrends
#connector = pyGTrends('mohanraotekale','tekalemohan')
def fetchHotness(companyName, numPeriods=5):
connector.download_report((companyName))
lines = connector.csv().split('\n')
skipCount = -len(lines)/numPeriods
periods = {}
count = 0
for i in range(len(lines)-1, 1, skipCount):
periods['t-minus-%03d' % (count,)] = lines[i].split(",")[1].strip()
count += 1
return periods
if __name__ == '__main__':
data = processSymbols(sys.argv[1:])
csvutil.writeCSVContentsFromDictionaries(data, sorted_field_list)
#getData(t)
import csvutil, sys, optparse
def parseArgs(args):
parser = optparse.OptionParser()
parser.add_option("-d", "--delimiter", dest="delimiter", default='\t')
parser.add_option("-f", "--formula", dest="formula", default='\t')
parser.add_option("-t", "--formula-column-title", dest="columnTitle", default='\t')
(options, args) = parser.parse_args()
return options, args
if __name__ == '__main__':
options, args = parseArgs(sys.argv[1:])
headerFields, rows = csvutil.getHeaderAndContentsAsDictionaries(delimiter=options.delimiter)
newHeaderFields = headerFields[:]
newHeaderFields.append(options.columnTitle)
for i in range(1, len(rows) + 1):
rows[i-1][options.columnTitle] = options.formula.replace('_NNNN', str(i+1))
#print rows[i-1]
csvutil.writeCSVContentsFromDictionaries(rows, fieldnames=newHeaderFields, delimiter=options.delimiter)
