这个函数用于演示如何在Python中编写一个示例函数,我们将使用小标题和单元表格来组织代码。
导入所需库
import pandas as pd import numpy as np
定义示例函数
def performs_example(data, operation): if operation == "sum": result = np.sum(data) elif operation == "mean": result = np.mean(data) elif operation == "max": result = np.max(data) elif operation == "min": result = np.min(data) else: raise ValueError("Invalid operation. Please choose from 'sum', 'mean', 'max', or 'min'.") return result
使用示例函数
data = [1, 2, 3, 4, 5] sum_result = performs_example(data, "sum") print(f"Sum of the data: {sum_result}") mean_result = performs_example(data, "mean") print(f"Mean of the data: {mean_result}") max_result = performs_example(data, "max") print(f"Max value of the data: {max_result}") min_result = performs_example(data, "min") print(f"Min value of the data: {min_result}")
输出结果:
Sum of the data: 15 Mean of the data: 3.0 Max value of the data: 5 Min value of the data: 1
以下是一个介绍,展示了不同的input_value和函数返回的output_value:
输入值 (input_value) | 输出值 (output_value) |
0 | 0 |
1 | 1 |
2 | 4 |
3 | 9 |
4 | 16 |
... | ... |
def performs_example_function(input_value): return input_value ** 2 print("输入值 (input_value) | 输出值 (output_value)") print("") example_values = [0, 1, 2, 3, 4] for value in example_values: output = performs_example_function(value) print(f"{value:18} | {output:18}")
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