Python Data Extraction: Setting Minimum Values

In Python, you can set a floor value using conditional statements and loops. Here is a simple example code demonstrating how to extract data and set a floor value.

import random

def extract_data():
    data = random.randint(1, 100)  # 模拟抽取数据的过程
    return data

def get_data_with_floor(floor):
    data = extract_data()
    while data < floor:
        data = extract_data()
    return data

floor = 50  # 设定保底数值为50
result = get_data_with_floor(floor)
print(f"抽取到的数据为: {result}")

In the code above, the extract_data() function simulates the process of extracting data and returns a random number. The get_data_with_floor() function takes a parameter, floor, which represents a minimum value. If the extracted data is less than the minimum value, it continues extracting until the data is greater than or equal to the minimum value. Finally, it prints out the extracted data.

You can adjust the minimum value and the range of data extraction according to your actual situation to meet your needs. Hope this helps you! If you have any questions, feel free to ask.