[SciPy-user] reading data with gaps and converting
Tim Michelsen
timmichelsen at gmx-topmail.de
Tue Nov 20 17:58:07 EST 2007
Hello,
I encountered another difficulty converting my files from one
format to the other.
Below you may find a simplified example.
When I try to load for instance row 1 on the input file the pylab.load
or scipy.io.read_array complains that the index is out of range or
that a sequence cannot be converted into a array.
I assume that the problem are the cells without any data.
The file I use was exported from Excel.
There may be some of you who have had to deal with similar format
conversion issues. Therefore I would be very happy someone could indicate
me a method how to read such structured data efficiently into a array.
Thanks in advance.
Kind regards,
Tim
reduced example data:
input file structure
parameter1 parameter1 parameter2 parameter2
year month day hour1 hour2 hour1 hour2
2007 11 20 8 2
2007 11 21 9 3 4 4
2007 11 22 2 8 4 8
2007 11 23 3 3 6 51
2007 11 24 1 72 34
2007 11 25 7 9 34 24
2007 11 26 6 65 12 1
2007 11 27 7 0 19 2
2007 11 28 44 21 2
output file structure
year month day hour parameter1 parameter2
2007 11 20 1 nodata 2
2007 11 20 2 8 nodata
2007 11 21 1 9 4
2007 11 21 2 3 4
2007 11 22 1 2 4
2007 11 22 2 8 8
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