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 > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion