diff --git a/src/fund_statistic.py b/src/fund_statistic.py
index 093fbc5..bb6fb83 100644
--- a/src/fund_statistic.py
+++ b/src/fund_statistic.py
@@ -11,11 +11,12 @@ Copyright (c) 2020 Camel Lu
 '''
 import re
 import decimal
+from functools import cmp_to_key
 from pprint import pprint
 import pandas as pd
 import numpy as np
 from fund_info.statistic import FundStatistic
-from utils.index import get_last_quarter_str, get_stock_market, find_from_list_of_dict, update_xlsx_file
+from utils.index import get_last_quarter_str, get_stock_market, find_from_list_of_dict, update_xlsx_file, update_xlsx_file_with_sorted
 from utils.file_op import read_dir_all_file
 
 
@@ -399,11 +400,25 @@ def get_special_fund_code_holder_stock_detail(each_statistic=None, quarter_index
 
     update_xlsx_file(path, df_a_list, sheet_name='十大持仓明细--' + quarter_index)
 
-
+def compare(item1, item2):
+    year1 = int(item1[0:4])
+    quarter_index1 = int(item1[6:7])
+    year2 = int(item2[0:4])
+    quarter_index2 = int(item2[6:7])
+    if year2 < year1 or (year2 == year1 and quarter_index2 < quarter_index1):
+        return -1
+    elif year2 > year1 or (year2 == year1 and quarter_index2 > quarter_index1):
+        return 1
+    else:
+        return 0
+
+# Calling
+# list.sort(key=compare)
 def calculate_quarter_fund_count():
     stock_markets = ['A股/上证主板', 'A股/创业板', 'A股/科创板', 'A股/深证主板', 'A股/北交所', '港股', '其他']
     for market in stock_markets:
         dir_path = './outcome/数据整理/stocks/' + market + '/'
+        # dir_path = './outcome/数据整理/stocks/' + 'A股/北交所' + '/'
         files = read_dir_all_file(dir_path)
         print(market, "files", len(files))
         for file_path in files:
@@ -411,9 +426,15 @@ def calculate_quarter_fund_count():
             xls = pd.ExcelFile(path, engine='openpyxl')
             quarter_list = []
             sum_column_name = '总计'
-            for sheet_name in reversed(xls.sheet_names):
-                if sheet_name == '总计':
-                    continue
+            sheet_names = []
+            for sheet_name in xls.sheet_names:
+                if sheet_name == sum_column_name:
+                        continue
+                sheet_names.append(sheet_name)
+            sheet_names.sort(key=cmp_to_key(compare))
+            for sheet_name in sheet_names:
+                # if sheet_name == '总计':
+                #     continue
                 item_quarter_data = [sheet_name]
                 df_cur_sheet = xls.parse(sheet_name)
                 item_quarter_data.append(len(df_cur_sheet))
@@ -422,7 +443,7 @@ def calculate_quarter_fund_count():
                 quarter_list.append(item_quarter_data)
             columns = ["日期", "持有数量(只)", '持有市值(亿元)']
             df_quarter_list = pd.DataFrame(quarter_list, columns=columns)
-            update_xlsx_file(path, df_quarter_list, sum_column_name)
+            update_xlsx_file_with_sorted(path, df_quarter_list, sum_column_name, sheet_names)
 
 
 if __name__ == '__main__':
@@ -436,7 +457,7 @@ if __name__ == '__main__':
     # t100_stocks_rank(each_statistic=each_statistic)
 
     # 获取某些基金的十大持仓股票信息
-    get_special_fund_code_holder_stock_detail()
+    # get_special_fund_code_holder_stock_detail()
 
-    # calculate_quarter_fund_count()
-    select_condition_stocks_rank()
+    calculate_quarter_fund_count()
+    # select_condition_stocks_rank()
diff --git a/src/utils/index.py b/src/utils/index.py
index 4a44c32..8af783f 100644
--- a/src/utils/index.py
+++ b/src/utils/index.py
@@ -197,7 +197,7 @@ def get_stock_market(stock_code):
         return '其他'
 
 
-def update_xlsx_file(path, df_data, sheet_name):
+def update_xlsx_file(path, df_data, sheet_name, sorted_worksheets = []):
     try:
         if os.path.exists(path):
             writer = pd.ExcelWriter(path, engine='openpyxl')
@@ -211,16 +211,43 @@ def update_xlsx_file(path, df_data, sheet_name):
                 return
             else:
                 writer.book = book
-                df_data.to_excel(
+            df_data.to_excel(
                     writer, sheet_name=sheet_name)
+
             writer.save()
             writer.close()
         else:
             df_data.to_excel(
                 path, sheet_name=sheet_name)
-    except:
+    except BaseException:
         print("path", path)
-    
+        raise BaseException('更新excel失败')
+
+
+def update_xlsx_file_with_sorted(path, df_data, sheet_name, sorted_sheetnames = []):
+    try:
+        if os.path.exists(path):
+            writer = pd.ExcelWriter(path, engine='openpyxl')
+            workbook = load_workbook(path)
+            writer.book = workbook
+            writer.sheets = {ws.title:ws for ws in workbook.worksheets}
+            for sheet_item in sorted_sheetnames:
+                del workbook[sheet_item]
+            df_data.to_excel(
+                    writer,  sheet_name=sheet_name)
+            workbook = writer.book
+            for worksheet in sorted_sheetnames:
+                workbook._add_sheet(writer.sheets.get(worksheet))
+            writer.book = workbook
+
+            writer.save()
+            writer.close()
+        else:
+            df_data.to_excel(
+                path, sheet_name=sheet_name)
+    except BaseException:
+        print("path", path)
+        raise BaseException('更新excel失败')
 
 
 def bootstrap_thread(target_fn, total, thread_count=2):