random.randint()、np.random,randint()

random.randint()[1,5]左闭右闭、np.random,randint()[1,5)左闭右开

Help on method randint in module random:

randint(a, b) method of random.Random instance
    Return random integer in range [a, b], including both end points.

Help on built-in function randint:

randint(...) method of mtrand.RandomState instance
    randint(low, high=None, size=None, dtype='l')
    
    Return random integers from `low` (inclusive) to `high` (exclusive).
    
    Return random integers from the "discrete uniform" distribution of
    the specified dtype in the "half-open" interval [`low`, `high`). If
    `high` is None (the default), then results are from [0, `low`).
    
    Parameters
    ----------
    low : int
        Lowest (signed) integer to be drawn from the distribution (unless
        ``high=None``, in which case this parameter is one above the
        *highest* such integer).
    high : int, optional
        If provided, one above the largest (signed) integer to be drawn
        from the distribution (see above for behavior if ``high=None``).
    size : int or tuple of ints, optional
        Output shape.  If the given shape is, e.g., ``(m, n, k)``, then
        ``m * n * k`` samples are drawn.  Default is None, in which case a
        single value is returned.
    dtype : dtype, optional
        Desired dtype of the result. All dtypes are determined by their
        name, i.e., 'int64', 'int', etc, so byteorder is not available
        and a specific precision may have different C types depending
        on the platform. The default value is 'np.int'.
    
        .. versionadded:: 1.11.0

import random
for i in range(5):
    for k in range(7):
        print(random.randint(1,5),end=' ')
    print()
3 4 3 4 1 1 3 
1 2 1 4 1 4 3 
3 2 1 2 3 3 4 
1 4 1 4 4 4 5 
4 1 4 3 3 4 3

import numpy as np
for i in range(5):
    for k in range(7):
        print(np.random.randint(1,5),end=' ')
    print()

3 2 4 4 1 4 3 
2 2 1 2 1 4 4 
2 1 3 1 2 4 3 
3 2 1 3 4 2 3 
1 4 2 2 2 3 3 

import numpy as np
for i in range(5):
    for k in range(7):
        print(np.random.randint(1,5),end=' ')
print()

1 1 1 2 2 2 2 3 3 3 2 1 4 4 3 2 1 1 2 3 4 3 2 4 3 1 4 2 4 3 1 2 2 1 3

np.random.randint(1,7,3)
array([1, 4, 6])

np.random.randint(1,7,(3,1))
array([[3],
       [4],
       [4]])

np.random.randint(1,7,size=(3,1))
array([[3],
       [4],
       [4]])

import random
print( random.randint(1,10) )        # 产生 1 到 10 的一个整数型随机数  
print( random.random() )             # 产生 0 到 1 之间的随机浮点数
print( random.uniform(1.1,5.4) )     # 产生  1.1 到 5.4 之间的随机浮点数，区间可以不是整数
print( random.choice('tomorrow') )   # 从序列中随机选取一个元素
print( random.randrange(1,100,2) )   # 生成从1到100的间隔为2的随机整数
a=[1,3,5,6,7]                # 将序列a中的元素顺序打乱
random.shuffle(a)
print(a)

9
0.030119183897754143
3.7540964998698882
t
79
[5, 6, 3, 7, 1]


print(random.sample('zyxwvutsrqponmlkjihgfedcba',5)) # 多个字符中生成指定数量的随机字符：
['d', 'c', 'p', 'm', 'n']

import string
ran_str = ' '.join(random.sample(string.ascii_letters + string.digits, 8)) # 从a-zA-Z0-9生成指定数量的随机字符：
print (ran_str)
5 b a 0 3 r f 9

random.randint()、np.random,randint()

random.randint()[1,5]左闭右闭、np.random,randint()[1,5)左闭右开

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