python - DataFrame read from excel (all sheets) not recognizing index and columns -

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i wrote following code ( see 2) below) extract , manipulate data excel file looks following way:

1) excel file content, in each sheet: 

         time           f1         f2         f3 41030.00069444  -83.769997      29.430000      29.400000    41030.00138889  -84.209999      28.940001      28.870001    41030.00208333  -84.339996      28.280001      28.320000

2) code:

raw_data = pd.read_excel(r'/users/linnkloster/desktop/results/01_05_2012 raw results.xls', skiprows=1, header=0, nrows=1440, dayfirst=true, infer_datetime_format='%d/%m/%y %h')  raw_data[u'time']= pd.to_datetime(raw_data['time'], unit='d')  raw_data.set_index(pd.datetimeindex(raw_data[u'time']), inplace=true)  print raw_data  ave_data = raw_data.resample('h', how='mean')

i'm running 2 issues:

i) need read in data all sheets in excel file (all of have same format shown above, different column names). when add sheetnames=none input pd.read_excel in first line of code achieve this, stops recognizing column titles , index excel file, making impossible me take averages/manipulate raw_data dataframe way need (as seen in last line of code new ave_data dataframe in created). can me develop code extract data all sheets in excel file, while still recognizing column headers , index column can manipulate it?

ii) raw_data outputs following:

raw_data:

                        time           f1            f2            f3 2082-05-03 00:00:59.961599999  -83.769997      29.430000      29.400000    2082-05-03 00:02:00.009600000  -84.209999      28.940001      28.870001    2082-05-03 00:02:59.971200000  -84.339996      28.280001      28.320000

the date displayed here wrong - should 2012-05-01 - hour correct. know how can change code correct this?

thank in advance


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