Python数据结构之Array用法实例

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 <len(self.numRows()) /     and col>=0 and col<len(self.numCols), /     "array subscrpt out of range"     theArray = self._theRows[row]     return theArray[col]    def __setitem__(self, ndxTuple, value):     assert len(ndxTuple)==2, "the tuple must 2"     row = ndxTuple[0]     col = ndxTuple[1]     assert row >= 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。