本文实例讲述了python数据结构之Array用法，分享给大家供大家参考。具体方法如下：

import ctypes 
 
class Array: 
  def __init__(self, size): 
    assert size > 0, \"Array size must be > 0 \" 
    self._size = size 
    pyArrayType = ctypes.py_object * size 
    self._elements = pyArrayType() 
    self.clear(None) 
 
  def clear(self, value): 
     for index in range(len(self)): 
       self._elements[index] = value 
 
  def __len__(self): 
    return self._size 
 
  def __getitem__(self, index): 
    assert index >= 0 and index < len(self), \"index must >=0 and <= size\" 
    return self._elements[index] 
 
  def __setitem__(self, index, value): 
    assert index >= 0 and index < len(self), \"index must >=0 and <= size\" 
    self._elements[index] = value 
 
  def __iter__(self): 
    return _ArrayIterator(self._elements) 
 
class _ArrayIterator: 
  def __init__(self, theArray): 
    self._arrayRef = theArray 
    self._curNdr = 0 
 
  def __next__(self): 
    if self._curNdr < len(theArray): 
      entry = self._arrayRef[self._curNdr] 
      sllf._curNdr += 1 
      return entry 
    else: 
      raise StopIteration 
 
  def __iter__(self): 
    return self 

class Array2D : 
  def __init__(self, numRows, numCols): 
    self._theRows = Array(numCols) 
    for i in range(numCols): 
      self._theRows[i] = Array(numCols) 
 
  def numRows(self): 
    return len(self._theRows) 
 
  def numCols(self): 
    return len(self._theRows[0]) 
 
  def clear(self, value): 
    for row in range(self.numRows): 
      self._theRows[row].clear(value) 
 
  def __getitem__(self, ndxTuple): 
    assert len(ndxTuple) == 2, \"the tuple must 2\" 
    row = ndxTuple[0] 
    col = ndxTuple[1] 
    assert row>=0 and row =0 and col= 0 and row < len(self.numRows) \\ 
    and col >= 0 and col < len(self.numCols), \\ 
    \"row and col is invalidate\" 
    theArray = self._theRows[row]; 
    theArray[col] = value 

希望本文所述对大家的Python程序设计有所帮助。