38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
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import os
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import pandas as pd
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import numpy as np
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# 设置包含文件夹的主文件夹路径
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main_folder = 'D:/桌面/fenqu_liziqun/output'
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# 创建一个空的DataFrame来存储所有文件的数据
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all_data = None
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# 遍历主文件夹中的所有子文件夹
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for folder_name in os.listdir(main_folder):
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folder_path = os.path.join(main_folder, folder_name)
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# 检查文件夹是否存在
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if os.path.isdir(folder_path):
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# 构建Excel文件的完整路径
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excel_file_path = os.path.join(folder_path, 'lixiangjie_and_best_chromosome.xlsx')
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# 检查Excel文件是否存在
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if os.path.exists(excel_file_path):
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# 读取Excel文件
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df = pd.read_excel(excel_file_path)
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# 如果all_data为空，直接将df复制给all_data
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if all_data is None:
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all_data = df
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else:
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# 否则，将df中的值逐个加到all_data中
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all_data += df
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# 计算所有文件中每个位置上的平均值
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average_data = all_data / len(os.listdir(main_folder))
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average_data.to_excel('D:/桌面/分方向MFD实验/13理想解可视化和最好的染色体/lixiangjie_and_best_chromosome4.xlsx', index=False)
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# 打印最终结果
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print(average_data)
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