72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
import openpyxl
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import csv
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import os.path
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import glob
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def read_value(patient_dir, atlas, data_type):
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folder_name = os.path.basename(patient_dir)
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csv_file_path = os.path.join(patient_dir, f"{data_type}_{atlas}_result", "result_atlas.csv")
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result = [folder_name]
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with open(csv_file_path, mode='r') as data_csv_file:
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csv_reader = csv.DictReader(data_csv_file)
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for row in csv_reader:
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mean = float(row["meanValue"])
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result.append(mean)
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return result
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def read_header(patient_dir, atlas, data_type):
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header = ['编号']
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csv_file_path = os.path.join(patient_dir, f"{data_type}_{atlas}_result", "result_atlas.csv")
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with open(csv_file_path, mode='r') as data_csv_file:
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csv_reader = csv.DictReader(data_csv_file)
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for row in csv_reader:
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region_name = row["Chinese Name"]
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header.append(region_name)
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return header
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def write_to_work_sheet(work_sheet, patient_list, atlas, data_type):
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if len(patient_list) == 0:
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return
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header = read_header(patient_list[0], atlas, data_type)
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work_sheet.append(header)
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for patient_dir in patient_list:
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print(data_type, atlas, patient_dir)
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patient_data = read_value(patient_dir, atlas, data_type)
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work_sheet.append(patient_data)
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def main():
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# 选择导出的数据类型，请尝试增加VOL类型，并修改read_value、read_header函数以支持读取体积
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data_types = ['corr-CBF', 'ATT', 'ACBV', 'CBF1', 'CBF2', 'CBF3', 'CBF4', 'CBF5']
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# 选择导出后的图谱
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atlas_list = ['AnImage_WholeBrain', 'AnImage_BrainLobes', 'AnImage_AAL3']
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# 选择输出的位置
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output_file = r'..\Data\csv-extract.xlsx'
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# 选择输入的数据
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patient_list = glob.glob(r'..\Data\csv-data\*')
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# 创建新的excel workbook
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work_book = openpyxl.Workbook()
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# 删除默认worksheet
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work_book.remove(work_book.active)
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for data_type in data_types:
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for atlas in atlas_list:
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work_sheet = work_book.create_sheet(title=f'{atlas}_{data_type}')
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write_to_work_sheet(work_sheet, patient_list, atlas, data_type)
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# 保存workbook到xlsx文件
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work_book.save(output_file)
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main()
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