コード例 #1
0
ファイル: filetable.py プロジェクト: sameerms/Hobbyprosjekter
def _test(n):
    _generate(n, 20, "tmp.1", "here are some data")
    import time
    t0 = time.clock()
    f = open("tmp.1", "r")
    q = read(f)
    t1 = time.clock()
    print "read:", t1 - t0, "seconds\n", q[0:5, 0:5]
    f.close()
    t0 = time.clock()
    f = open("tmp.2", "w")
    write(f, q)
    t1 = time.clock()
    print "write:", t1 - t0, "seconds"

    # compare with TableIO:
    try:
        import TableIO
    except:
        sys.exit(0)  # exit silently
    t0 = time.clock()
    p = TableIO.readTableAsArray("tmp.1", "#")
    t1 = time.clock()
    print "TableIO.readTableAsArray:", t1 - t0, "seconds\n", p[0:5, 0:5]
    t0 = time.clock()
    TableIO.writeArray("tmp.3", p)
    t1 = time.clock()
    print "TableIO.writeArray:", t1 - t0, "seconds"
コード例 #2
0
 def get_data(self, sepchar="\t", skipchar="#"):
     """
     Load data from a text file and returns an array of the data
     """
     if HAVE_TABLEIO:
         data = numpy.fliplr(
             TableIO.readTableAsArray(self.filename, skipchar))
     else:
         myfile = open(self.filename, "r", DEFAULT_BUFFER_SIZE)
         contents = myfile.readlines()
         myfile.close()
         data = []
         header = True
         idx = 0
         while header and idx < len(contents):
             if contents[idx][0] != skipchar:
                 header = False
                 break
             idx += 1
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id = [float(line[-1])]
             id += map(float, line[0:-1])
             data.append(id)
         logging.debug("Loaded %d lines of data from %s" %
                       (len(data), self))
         data = numpy.array(data, numpy.float32)
     return data
コード例 #3
0
ファイル: io.py プロジェクト: rgerkin/NeuroTools
 def get_data(self, sepchar = "\t", skipchar = "#"):
     """
     Load data from a text file and returns an array of the data
     """
     if HAVE_TABLEIO:
         data = numpy.fliplr(TableIO.readTableAsArray(self.filename, skipchar))
     else:
         myfile   = open(self.filename, "r", DEFAULT_BUFFER_SIZE)
         contents = myfile.readlines()
         myfile.close()
         data   = []
         header = True
         idx    = 0
         while header and idx < len(contents):
             if contents[idx][0] != skipchar:
                 header = False
                 break
             idx += 1
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id   = [float(line[-1])]
             id  += map(float, line[0:-1])
             data.append(id)
         logging.debug("Loaded %d lines of data from %s" % (len(data), self))
         data = numpy.array(data, numpy.float32)
     return data
コード例 #4
0
ファイル: tisean.py プロジェクト: JuergenNeubauer/NeuroTools
def data_fload(inputfile):
    """ fast array loader, uses TableIO
        inputfile: name of file to read data from
        returns array (Numeric)
    """
    # open file, transfer filtered content into list listarray
    try:
        import TableIO
    except ImportError:
        return data_load(inputfile, check=1)
    else:
        return TableIO.readTableAsArray(inputfile,'#')
コード例 #5
0
def data_fload(inputfile):
    """ fast array loader, uses TableIO
        inputfile: name of file to read data from
        returns array (Numeric)
    """
    # open file, transfer filtered content into list listarray
    try:
        import TableIO
    except ImportError:
        return data_load(inputfile, check=1)
    else:
        return TableIO.readTableAsArray(inputfile, '#')
コード例 #6
0
ファイル: pynnio.py プロジェクト: AntoineValera/SynaptiQs
 def get_data(self, sepchar = "\t", skipchar = "#"):
     if HAVE_TABLEIO:
         data = numpy.fliplr(TableIO.readTableAsArray(self.filename, skipchar))
     else:
         contents = self.fileobj.readlines()
         self.fileobj.close()
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id   = [float(line[-1])]
             id  += map(float, line[0:-1])
             data.append(id)
         logging.debug("Loaded %d lines of data from %s" % (len(data), self))
         data = numpy.array(data, numpy.float32)
     return data
コード例 #7
0
ファイル: pynnio.py プロジェクト: AntoineValera/SynaptiQs
 def get_data(self, sepchar="\t", skipchar="#"):
     if HAVE_TABLEIO:
         data = numpy.fliplr(
             TableIO.readTableAsArray(self.filename, skipchar))
     else:
         contents = self.fileobj.readlines()
         self.fileobj.close()
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id = [float(line[-1])]
             id += map(float, line[0:-1])
             data.append(id)
         logging.debug("Loaded %d lines of data from %s" %
                       (len(data), self))
         data = numpy.array(data, numpy.float32)
     return data
コード例 #8
0
 def get_data(self, sepchar="\t", skipchar="#"):
     """
     Load data from a text file and returns a list of data
     """
     if HAVE_TABLEIO:
         data = TableIO.readTableAsArray(self.filename, skipchar)
     else:
         myfile = open(self.filename, "r", DEFAULT_BUFFER_SIZE)
         contents = myfile.readlines()
         myfile.close()
         data = []
         header = True
         idx = 0
         while header:
             if contents[idx][0] != skipchar:
                 header = False
                 break
             idx += 1
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id = [float(line[0])]
             id += map(float, line[1:])
             data.append(id)
     return numpy.array(data)
コード例 #9
0
ファイル: io.py プロジェクト: rgerkin/NeuroTools
 def get_data(self, sepchar = "\t", skipchar = "#"):
     """
     Load data from a text file and returns a list of data
     """
     if HAVE_TABLEIO:
         data = TableIO.readTableAsArray(self.filename, skipchar)
     else:
         myfile   = open(self.filename, "r", DEFAULT_BUFFER_SIZE)
         contents = myfile.readlines()
         myfile.close()
         data = []
         header = True
         idx    = 0
         while header:
             if contents[idx][0] != skipchar:
                 header = False
                 break
             idx += 1
         for i in xrange(idx, len(contents)):
             line = contents[i].strip().split(sepchar)
             id   = [float(line[0])]
             id  += map(float, line[1:])
             data.append(id)
     return numpy.array(data)