Version 1.0b1 API Documentation generated by Endo 2006-08-14

Variables

• numfmt

  numfmt = nt.typeDict
  
  

Classes

• format_parser
• recarray
• record

Function summary

• array(obj, formats = None, names = None, titles = None, shape = None, byteorder = None, aligned = 0, offset = 0, strides = None)
• find_duplicate(list)
• fromarrays(arrayList, formats = None, names = None, titles = None, shape = None, aligned = 0)
• fromfile(fd, formats, shape = None, names = None, titles = None, byteorder = None, aligned = 0, offset = 0)
• fromrecords(recList, formats = None, names = None, titles = None, shape = None, aligned = 0)
• fromstring(datastring, formats, shape = None, names = None, titles = None, byteorder = None, aligned = 0, offset = 0)

Functions

• array(obj, formats = None, names = None, titles = None, shape = None, byteorder = None, aligned = 0, offset = 0, strides = None)
• find_duplicate(list)

  Find duplication in a list, return a list of duplicated elements

• fromarrays(arrayList, formats = None, names = None, titles = None, shape = None, aligned = 0)

  create a record array from a (flat) list of arrays

  >>> x1=array([1,2,3,4])
  >>> x2=array(['a','dd','xyz','12'])
  >>> x3=array([1.1,2,3,4])
  >>> r=fromarrays([x1,x2,x3],names='a,b,c')
  >>> print r[1]
  (2, 'dd', 2.0)
  >>> x1[1]=34
  >>> r.a
  array([1, 2, 3, 4])
  

• fromfile(fd, formats, shape = None, names = None, titles = None, byteorder = None, aligned = 0, offset = 0)

  Create an array from binary file data

  If file is a string then that file is opened, else it is assumed to be a file object.

  >>> import testdata, sys
  >>> fd=open(testdata.filename)
  >>> fd.seek(2880*2)
  >>> r=fromfile(fd, formats='f8,i4,a5', shape=3, byteorder='big')
  >>> print r[0]
  (5.1000000000000005, 61, 'abcde')
  >>> r._shape
  (3,)
  

• fromrecords(recList, formats = None, names = None, titles = None, shape = None, aligned = 0)

  create a recarray from a list of records in text form

  The data in the same field can be heterogeneous, they will be promoted to the highest data type. This method is intended for creating smaller record arrays. If used to create large array without formats defined

  r=fromrecords([(2,3.,'abc')]*100000)

  it can be slow.

  If formats is None, then this will auto-detect formats. Use list of tuples rather than list of lists for faster processing.

  >>> r=fromrecords([(456,'dbe',1.2),(2,'de',1.3)],names='col1,col2,col3')
  >>> print r[0]
  (456, 'dbe', 1.2)
  >>> r.col1
  array([456,   2])
  >>> r.col2
  chararray(['dbe', 'de'])
  >>> import cPickle
  >>> print cPickle.loads(cPickle.dumps(r))
  recarray[
  (456, 'dbe', 1.2),
  (2, 'de', 1.3)
  ]
  

• fromstring(datastring, formats, shape = None, names = None, titles = None, byteorder = None, aligned = 0, offset = 0)

  create a (read-only) record array from binary data contained in a string

Imported names