stdev = numpy.std(dataLs[i])
newKey2DataLs[key] += [meanValue, medianValue, stdev]
sys.stderr.write("Done.\n")
return PassingData(key2dataLs=newKey2DataLs,
header=keyColHeader + newValueColHeader)
def run(self):
if self.debug:
import pdb
pdb.set_trace()
returnData = self.traverse()
newReturnData = self.avgKey2DataLs(returnData.key2dataLs,
no_of_key_columns=len(
self.keyColumnLs),
header=returnData.header)
self.outputFinalData(self.outputFname,
newReturnData.key2dataLs,
returnData.delimiter,
header=newReturnData.header)
if __name__ == '__main__':
main_class = ReduceMatrixByAverageColumnsWithSameKey
po = ProcessOptions(sys.argv,
main_class.option_default_dict,
error_doc=main_class.__doc__)
instance = main_class(po.arguments, **po.long_option2value)
instance.run()
