48行报错：发生异常: NameError name 'perform_tsa_transform' is not defined File "/Users/dingfengyan/工作/项目开发/哈理工/批量导出功能/feature.py", line 48, in process_csv_files perform_tsa_transform(file_path, tsa_window_size) ^^^^^^^^^^^^^^^^^^^^^ File "/Users/dingfengyan/工作/项目开发/哈理工/批量导出功能/feature.py", line 52, in <module> process_csv_files(currentPath, 1000) NameError: name 'perform_tsa_transform' is not defined

抱歉，我之前的回答中有一个错误。在代码中，我错误地将 `perform_tsa_transform` 函数放在了 `extract_and_convert_zip_files` 函数内部的代码块中，导致无法在 `process_csv_files` 函数中调用该函数。

以下是修改后的代码，已修复此问题：

import os
import csv
import struct
import zipfile

def extract_and_convert_zip_files(folder_path, output_folder):
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            if file.endswith(".zip"):
                file_path = os.path.join(root, file)
                extract_zip_files(file_path, output_folder)

def extract_zip_files(file_path, output_folder):
    with zipfile.ZipFile(file_path, "r") as zip_file:
        for file_info in zip_file.infolist():
            if file_info.filename.endswith(".bin"):
                bin_data = zip_file.read(file_info.filename)
                output_file_name = os.path.splitext(file_info.filename)[0] + "_original.csv"
                output_file_path = os.path.join(output_folder, output_file_name)
                convert_binary_to_csv(bin_data, output_file_path)
                perform_tsa_transform(output_file_path)

def convert_binary_to_csv(bin_data, output_file_path):
    with open(output_file_path, "w", newline="") as csv_file:
        csv_writer = csv.writer(csv_file)
        csv_writer.writerow(["Column 1", "Column 2", "Column 3"])

        pos = 0
        while pos < len(bin_data):
            binary_data = bin_data[pos:pos+8]
            pos += 8

            float_data = struct.unpack("fff", binary_data)
            csv_writer.writerow(float_data)

def perform_tsa_transform(input_csv_file):
    window_size = 3  # 设置TSA的窗口大小
    output_csv_file = input_csv_file.replace("_original.csv", "_tsa.csv")

    with open(input_csv_file, "r") as input_file, open(output_csv_file, "w", newline="") as output_file:
        csv_reader = csv.reader(input_file)
        csv_writer = csv.writer(output_file)
        csv_writer.writerow(["Column 1", "Column 2", "Column 3"])

        data_columns = [1, 2, 3]  # 指定需要进行TSA处理的列

        data = [[] for _ in data_columns]
        for row in csv_reader:
            for i, col in enumerate(data_columns):
                data[i].append(float(row[col]))

            if len(data[0]) == window_size:
                transformed_data = perform_tsa_transform_window(data)
                csv_writer.writerow(transformed_data)

                for i in range(len(data)):
                    data[i].pop(0)

def perform_tsa_transform_window(data):
    transformed_data = []
    for i in range(len(data[0])):
        window_data = [data[j][i] for j in range(len(data))]
        transformed_data.append(sum(window_data) / len(window_data))
    return transformed_data

# 指定文件夹路径和输出文件夹路径进行调用
extract_and_convert_zip_files("your_folder_path", "your_output_folder_path")

请确保 `perform_tsa_transform` 函数位于 `extract_and_convert_zip_files` 函数之外，并在 `process_csv_files` 函数中调用 `perform_tsa_transform` 函数。

如果您仍然遇到问题，请检查代码中是否存在其他错误，并确保所有函数都在正确的位置定义和调用。