Python uniform

In Python, the uniform() function is used to generate a random floating-point number between two specified values. It is part of the random module, which provides functions for working with random numbers and random processes. To use uniform(), you need to import the random module first. Here's the basic syntax of the uniform() function:

python
import random

random_number = random.uniform(min_value, max_value)

min_value: The minimum value that you want the random number to be greater than or equal to.max_value: The maximum value that you want the random number to be less than (but not equal to).

Here's an example of how to use uniform() to generate a random floating-point number between 1.0 and 10.0:

python
import random

random_number = random.uniform(1.0, 10.0)
print(random_number)

Each time you run this code, you will get a different random number between 1.0 (inclusive) and 10.0 (exclusive).

Keep in mind that uniform() generates pseudo-random numbers, which means that they appear random but are generated using a deterministic algorithm. If you need to generate random numbers for cryptographic purposes or require truly random data, consider using the secrets module or an external hardware random number generator.

当使用 uniform() 函数生成随机浮点数时，你可以通过指定不同的 min_value 和 max_value 来得到不同范围内的随机数。例如，如果你需要在某个范围内生成多个随机数，可以使用循环来实现：

python
import random

# 生成 5 个随机数，范围在 0.0 到 1.0 之间
for _ in range(5):
    random_number = random.uniform(0.0, 1.0)
    print(random_number)

此代码会生成 5 个随机浮点数，每个都在 0.0 到 1.0 之间。

你还可以结合其他操作，例如将随机数用于模拟或生成随机坐标等。

每次运行程序时，uniform() 会生成不同的随机数，因为它的基础是伪随机数生成器，它会根据一个种子生成看似随机的数列。如果你需要在多次运行中获得相同的随机数序列，可以设置伪随机数生成器的种子，但请谨慎使用这种方法，因为它可能不适用于所有情况。