csv - Compare column name, then compare row data in Python -


so trying have csv file looks this:

"test_name", "mean", "median", "std_dev" "data name 1", 50, 75, 10 "data name 2", 52, 80, 11 "data name 1", 53, 79, 9  "data name 2", 55, 78, 8 "data name 3", 54, 77, 7 "data name 3", 53, 71, 7 "data name 1", 51, 72, 8

so right now, have program finds if test name equal each other. because if have same data name, want compare data have. 

import csv  csvfile = 'some.csv'  data = {}  open('some.csv') f:     reader = csv.dictreader(f)     row in reader:         (k,v) in row.items():                 try:                         data[k].append(v)                 except keyerror:                         data[k] = [v]  testnames = data['test_name'] mean = data['mean'] median = data['median'] std = data['stdev']  val in testnames:         val2 in testnames:                 if val == val2:                     index = testnames.index(val)                     index2 = testnames.index(val2)                      mediantemp = median[index]                     mediantemp2 = median[index2]                      if mediantemp2 > mediantemp:                             sub = mediantemp2 - mediantemp                             if sub > 100:                                     print "uh oh! @ ", val, "and ", val2 names

maybe, i'm doing little far off here. looking compare medians of data has same test name. struggling being able row data comparison after have compared test_names. have part working.

******* edit ********* trying use index() find element location now.

now issue having index , index2 exact same value. rather data name 1 giving index 0 , next data name 1 giving index2 of 2. both give 0.

any suggestions appreciated.

thanks :)

you can loop on index of testnames instead use indices access row data

for in range(len(testnames)):     j in range(len(testnames)):         if != j , testnames[i] == testnames[j]:             # access row data using: data['median'][i] data['median'][j]

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