python data types
Question: I wrote a script to take files of data that is in columns and plot it
depending on which column the user wants to view. Well, I noticed that the
plots look crazy, and have all the wrong numbers because python is ignoring
the exponential.

My numbers are in the format: 1.000000E+1 OR 1.000000E-1

What dtype is that? I am using numpy.genfromtxt to import with a dtype =
float. I know there are all sorts of dtypes you can enter, but I cannot find a
comprehensive list of the options, and examples.

Thanks.

Here is an example of my input (those spaces are tabs):

> Time Stamp``T1_ModBt``T2_90Bend``T3_InPE``T5_Stg2Rfrg  
>  5:22 AM``2.115800E+2``1.400000E+0``1.400000E+0``3.035100E+1  
>  5:23 AM``2.094300E+2``1.400000E+0``1.400000E+0``3.034800E+1  
>  5:24 AM``2.079300E+2``1.400000E+0``1.400000E+0``3.031300E+1  
>  5:25 AM``2.069500E+2``1.400000E+0``1.400000E+0``3.031400E+1  
>  5:26 AM``2.052600E+2``1.400000E+0``1.400000E+0``3.030400E+1  
>  5:27 AM``2.040700E+2``1.400000E+0``1.400000E+0``3.029100E+1

**Update** I figured out at least part of the reason why what I am doing does
not work. Still do not know how to define dtypes the way I want to.

    
    
    import numpy as np
    
    file = np.genfromtxt('myfile.txt', usecols = (0,1), dtype = (str, float), delimiter = '\t')
    

That returns an array of strings for each column. How do I tell it I want
column 0 to be a str, and all the rest of the columns to be float?


Answer: 
    In [55]: type(1.000000E+1)
    Out[55]: <type 'float'>
    

What does your input data look like, it's fair possible that it's in the wrong
input format but it's also sure that it's fairly easy to convert it to the
right format.

