first commit

Code/2-simple-stat.py

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+import openpyxl
+import csv
+import os.path
+import glob
+
+
+def read_value(patient_dir, atlas, data_type):
+    folder_name = os.path.basename(patient_dir)
+    csv_file_path = os.path.join(patient_dir, f"{data_type}_{atlas}_result", "result_atlas.csv")
+
+    result = [folder_name]
+    with open(csv_file_path, mode='r') as data_csv_file:
+        csv_reader = csv.DictReader(data_csv_file)
+        for row in csv_reader:
+            mean = float(row["meanValue"])
+            result.append(mean)
+
+    return result
+
+
+def read_header(patient_dir, atlas, data_type):
+    header = ['编号']
+
+    csv_file_path = os.path.join(patient_dir, f"{data_type}_{atlas}_result", "result_atlas.csv")
+
+    with open(csv_file_path, mode='r') as data_csv_file:
+        csv_reader = csv.DictReader(data_csv_file)
+        for row in csv_reader:
+            region_name = row["Chinese Name"]
+            header.append(region_name)
+
+    return header
+
+
+def generate_stats_row(name, region_size, function, patient_size):
+    result = [name]
+
+    for i in range(region_size):
+        letter = openpyxl.utils.cell.get_column_letter(i + 2)
+        result.append(f'={function}({letter}2:{letter}{patient_size + 1})')
+
+    return result
+
+
+def write_to_work_sheet(work_sheet, patient_list, atlas, data_type):
+    if len(patient_list) == 0:
+        return
+
+    header = read_header(patient_list[0], atlas, data_type)
+
+    work_sheet.append(header)
+
+    for patient_dir in patient_list:
+        print(data_type, patient_dir)
+        patient_data = read_value(patient_dir, atlas, data_type)
+
+        work_sheet.append(patient_data)
+
+    region_size = len(header) - 1
+    work_sheet.append([])
+    work_sheet.append([])
+    work_sheet.append(generate_stats_row('均值', region_size, 'AVERAGE', len(patient_list)))
+    work_sheet.append(generate_stats_row('标准差', region_size, 'STDEV', len(patient_list)))
+    work_sheet.append(generate_stats_row('最小值', region_size, 'MIN', len(patient_list)))
+    # 请尝试在空格的位置添加 5% 25% 50% 75% 95% 分位数，使用excel的PERCENTILE函数
+    work_sheet.append([])
+    work_sheet.append([])
+    work_sheet.append([])
+    work_sheet.append([])
+    work_sheet.append([])
+    work_sheet.append(generate_stats_row('最大值', region_size, 'MAX', len(patient_list)))
+
+
+def main():
+    data_types = ['corr-CBF', 'ATT', 'ACBV', 'CBF1', 'CBF2', 'CBF3', 'CBF4', 'CBF5']
+    atlas_list = ['AnImage_WholeBrain', 'AnImage_BrainLobes', 'AnImage_AAL3']
+
+    output_file = r'..\Data\csv-simple-stat.xlsx'
+
+    patient_list = glob.glob(r'..\Data\csv-data\*')
+
+    work_book = openpyxl.Workbook()
+    work_book.remove(work_book.active)
+
+    for data_type in data_types:
+        for atlas in atlas_list:
+            work_sheet = work_book.create_sheet(title=f'{atlas}_{data_type}')
+            write_to_work_sheet(work_sheet, patient_list, atlas, data_type)
+
+    work_book.save(output_file)
+
+
+main()