Metadata-Version: 1.0
Name: DataFile
Version: 0.1.6
Summary: Easy way to read data files
Home-page: UNKNOWN
Author: JMA
Author-email: jeanmichel.arbona@gmail.com
License: LICENSE.txt
Description: =========
        Data File
        =========
        
        This package provides an easy way to open a datafile
        by returning a "modified" dictionnary (see Guessing) of numpy arrays that corresponds
        to the differents columns.If the column contains strings it will return an array of strings.
        
        By default it will try to guess the indexation from the commentaries, and if failed will index it
        from 0 to n::
        
        
        #!/usr/bin/env python
        
        from datafile.extractfile import dataFile
        
        f = dataFile("./datafile/test/testdocfile.txt")
        # the index will be guessed and if not found it will
        # be indexed from 0 to n
        
        f = dataFile("./datafile/test/testdocfile.txt",index="auto")
        #f will be indexed from 0 to n
        
        #f["0"] will return a numpy array of the first column.
        #f["0",1] will return a numpy array of the index number 1 of the first column,
        # if the column is divided in index (ensemble of points separated by one or more space)
        
        f = dataFile("./datafile/test/testdocfile.txt" , "A B C D")
        #f will be indexed on "A" "B" "C" (if three columns)
        f = dataFile("./datafile/test/testdocfile.txt" , ["A", "B","C","D"]
        #f will be indexed on "A" "B" "C"
        
        
        Guessing
        ========
        
        if the datafile contains in the commentaries a line like:
        #Lx(nm) Ly(nm) D(A)
        and the file at three column, it will index the three columns
        with "Lx(nm)" "Ly(nm)" , "D(A)"::
        
        #!/usr/bin/env python
        f = dataFile("./file")
        f["Lx"]
        f["x"]
        #both are going to return the first column
        f["nm"]
        #will return a key error
        
        
        Main usage
        ==========
        
        I use it with ipython to plot datas and explore them.
        Lauching ipython -pylab will launch a ipython with
        matplotlib loaded.
        After loading the file with dataFile you can plot the data
        with only typping plot(f["A"],f["B"])
        
        
        email : jeanmichel.arbona@gmail.com
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Topic :: Scientific/Engineering
