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def parse_file(datafile):
data = []
with open(datafile, "r") as f:
header = f.readline().split(",")
for line in f:
fields = line.split(",")
entry = {}
for i, value in enumerate(fields):
entry[header[i].strip()] = value.strip()
data.append(entry)
return data
import csv
def parse_csv(datafile):
data = []
with open(datafile, "r") as f:
r = csv.DictReader(f)
for line in r:
data.append(line)
return data
import xlrd
def parse_xls(datafile):
workbook = xlrd.open_workbook(datafile)
sheet = workbook.sheet_by_index(0)
data = [[sheet.cell_value(r, col) for col in range(sheet.ncols)] for r in range(1, sheet.nrows)]
cv = sheet.col_values(1, start_rowx=1, end_rowx=None)
maxval = max(cv)
minval = min(cv)
maxpos = cv.index(maxval) + 1
minpos = cv.index(minval) + 1
maxtime = sheet.cell_value(maxpos, 0)
realtime = xlrd.xldate_as_tuple(maxtime, 0)
mintime = sheet.cell_value(minpos, 0)
realmintime = xlrd.xldata_as_tuple(mintime, 0)
data = {
'maxtime': realtime,
'maxvalue': maxval,
'mintime':realmintime,
'minvalue': minval,
'avgcoast': sum(cv) / float(len(cv))
}
return data
data = parse_xls(datafile)
import pprint
pprint.pprint(data)
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