Python data structure-Array usage example-Python tutorial

This article mainly introduces an example of the Array usage of Python data structures. it describes the common usage of Array in detail and has good reference value, for more information about the Array usage of python data structures, see the examples in this article. The specific method is as follows:

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 
  
 

I hope this article will help you with Python programming.