Recently in the correction of some models, the selection of samples has a great influence on the parameters of the calibration results, and how to ensure the randomness and representativeness of the samples. Sampling method will use the random module, to summarize the instructions, to switch to other people's information, as a note
The random module in Python is used to generate a stochastic number. Here are some of the most commonly used functions in the random module.
Random.random
Random.random () is used to generate a random number of 0 to 1 points: 0 <= N < 1.0
Random.uniform
The function prototype for Random.uniform is: Random.uniform (A, b), which is used to generate a random number of points within a specified range of two parameters, one of which is the upper limit and the other is the lower limit. If a > B, the generated random number n:a <= n <= B. If a <b, then B <= N <= A.
- Print Random.uniform (ten )
- Print Random.uniform ( ten)
- #----Results (different results on the machine)
- #18.7356606526
- #12.5798298022
Print random.uniform (+) Print Random.uniform #----results (different results on various machines) #18.7356606526 #12.5798298022
Random.randint
The function prototype for Random.randint () is: Random.randint (A, b), which is used to generate integers in a specified range. Where parameter A is the lower limit, parameter B is the upper limit, the generated random number n:a <= n <= B
- Print Random.randint ( #生成的随机数n): <= n <=
- Print Random.randint ( #结果永远是20 )
- #print Random.randint (#该语句是错误的). The lower limit must be less than the upper limit.
Print Random.randint (#生成的随机数n): <= n <= print random.randint #print random.randint (20), ) #该语句是错误的. The lower limit must be less than the upper limit.
Random.randrange
The function prototype for Random.randrange is: Random.randrange ([start], stop[, step]), which gets a random number from the specified range, in the collection incremented by the specified cardinality. such as: Random.randrange (10, 100, 2), the result is equivalent from [10, 12, 14, 16, ... 96, 98] gets a random number in the sequence. Random.randrange (10, 100, 2) is equivalent to Random.choice (range (10, 100, 2) on the result.
Random.choice
Random.choice gets a random element from the sequence. Its function prototype is: Random.choice (sequence). The parameter sequence represents an ordered type. Here's a note : Sequence is not a specific type in Python, but a series of types. list, tuple, string all belong to sequence. For sequence, you can view the Python manual data Model chapter. Here are some examples of using choice:
- Print Random.choice ("Learning python")
- Print Random.choice (["Jgood", "is", "a", "handsome", "Boy"])
- Print Random.choice (("Tuple", "List", "Dict")
Print Random.choice ("Learn Python") print Random.choice (["Jgood", "is", "a", "handsome", "boy"]) print Random.choice (" Tuple "," List "," Dict "))
Random.shuffle
The function prototype for random.shuffle is: random.shuffle (x[, Random]), which is used to disrupt elements in a list. Such as:
- p = [' Python ', ' is ', ' powerful ', ' simple ', ' and so ' on ... ']
- Random.shuffle (P)
- Print P
- #----Results (results may vary on different machines.) )
- #[' powerful ', ' simple ', ' was ', ' Python ', ' and so on ... ']
p = [' Python ', ' is ', ' powerful ', ' simple ', ' and so ' on ... '] Random.shuffle (p) Print P #----Results (results may differ on different machines.) #[' powerful ', ' simple ', ' was ', ' Python ', ' and so on ... ']
Random.sample
The function prototype for random.sample is: random.sample (sequence, k), which randomly fetches fragments of the specified length from the specified sequence. The sample function does not modify the original sequence.
- list = [1, 2, 3, 4, 5, 6, 7, 8, 9, ten]
- Slice = random.sample (list, 5) #从list中随机获取5个元素, returns as a fragment
- Print Slice
- Print List #原有序列并没有改变.
Random integers:
>>> Import Random
>>> Random.randint (0,99)
21st
Randomly select even numbers between 0 and 100:
>>> Import Random
>>> random.randrange (0, 101, 2)
42
Random floating point number:
>>> Import Random
>>> Random.random ()
0.85415370477785668
>>> random.uniform (1, 10)
5.4221167969800881
Random characters:
>>> Import Random
>>> random.choice (' abcdefg&#%^*f ')
' d '
Select a specific number of characters in more than one character:
>>> Import Random
Random.sample (' Abcdefghij ', 3)
[' A ', ' d ', ' B ']
Select a specific number of characters to form a new string in multiple characters:
>>> Import Random
>>> Import String
>>> String.Join (Random.sample ([' A ', ' B ', ' C ', ' d ', ' e ', ' f ', ' g ', ' h ', ' I ', ' J '], 3)). R
Eplace ("", "" ")
' FIH '
Randomly pick a string:
>>> Import Random
>>> random.choice ([' Apple ', ' pear ', ' peach ', ' orange ', ' Lemon '])
' Lemon '
Shuffle:
>>> Import Random
>>> items = [1, 2, 3, 4, 5, 6]
>>> random.shuffle (items)
>>> Items
[3, 2, 5, 6, 4, 1]
Transfer from http://www.cnblogs.com/yd1227/archive/2011/03/18/1988015.html
The random module in Python