Hi Tim,
Look at the thread posted a couple of weeks ago named: loadtxt and missing
values
I'm guessing you'll find answers to your questions, if not, don't hesitate
to ask.
David
2008/4/3, Tim Michelsen [EMAIL PROTECTED]:
Hello!
How can I load a data file (e.g. CSV, DAT) in ASCII which has some gaps?
The file has been saved with from a spreadsheet program which leaves
cells with not data empty:
1,23.
2,13.
3,
4,34.
Would this code be correct:
### test_loadtxt.py ###
import numpy
import maskedarray
# load data which has empty 'cells' as beeing saved from spreadsheet:
# 1,23.
# 2,13.
# 3,
# 4,34.
data = numpy.loadtxt('./loadtxt_test.csv',dtype=str,delimiter=',')
# create a masked array with all no data ('', empty cells from CSV) masked
my_masked_array = maskedarray.masked_equal(data,'')
##
* How can I change the data type of my maskedarray (my_masked_array) to
a type that allows me to perform calulations?
* Would you do this task differently or more efficient?
* What possibilities do I have to estimate/interpolate the masked values?
A example would be nice.
* How to I convert maskedarray (my_masked_array) to a array without
masked values?
Thanks in advance for your help,
Tim Michelsenholg
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