A simple implementation of Python with weighted random numbers

This method is commonly used with weighted random number generation method, the idea is to sum the weight value total, in 0 with the weight and total to obtain a random number rd, traverse the weight dictionary, accumulate its weight value weight_sum, when Rd is less than or equal to Weight_sum, Returns the current weight key value, as shown in the example code:

Import randomdef random_weight (Weight_data):     _total = sum (Weight_ Data.values ())     #  weight summation     _random = random.uniform (0,  _total)    #  in 0 with weights and before getting a random number      _curr_sum = 0     _ret = None    try:         _keys = weight_data.iterkeys ()     #  using iterkeys  in python2.x    except attributeerror:        _keys =  weight_data.keys ()         #  using keys   in python3.x   for _k in _keys:        _curr_sum +=  data[_k]             #  in Traversal, Accumulate current weight value         if _random <= _curr_sum:           #  returns the weight when the random number <= the current weight and key             _ret = _k            break     return _ret

The transfer value is a dictionary, key is the random data to get, key for its weight, such as {' A ': ten, ' B ': ' C ': 50}

A simple implementation of Python with weighted random numbers