diff --git a/pydata-han/Process/get_stoptime_a.py b/pydata-han/Process/get_stoptime_a.py
new file mode 100644
index 0000000..6fe0e38
--- /dev/null
+++ b/pydata-han/Process/get_stoptime_a.py
@@ -0,0 +1,77 @@
+import pandas as pd
+from datetime import datetime
+
+time_dict = {}
+stop_time_dict = {}
+data = pd.read_excel(r'A.xlsx')
+
+datetimeFormat = '%Y-%m-%dT%H:%M:%S.%f+08:00'
+datetimeFormat2 = '%Y-%m-%dT%H:%M:%S+08:00'
+
+for index, row in data.iterrows():
+    id = str(row['ticket_id'])
+    timestamp = str(row['timestamp'])
+    if (id not in time_dict.keys()):
+        time_dict[id] = []
+        time_dict[id].append(timestamp)
+    else:
+        time_dict[id].append(timestamp)
+
+for key, value in time_dict.items():
+    stop_time_dict[key] = value[-1]
+
+data2 = pd.read_excel(r'a_out_0714.xlsx')
+
+stoptime_new_list = []
+time_new_list = []
+empty = 0
+
+for index, row in data2.iterrows():
+    print(index)
+    id = str(row['ticket_id'])
+    P1_CODE = row['P3_CODE']
+    MM60101_CODE = row['MM60311_CODE']
+    if (pd.isna(row['stop_time']) and (int(P1_CODE) != 99 or int(MM60101_CODE) != 99)):
+        if (id in stop_time_dict.keys()):
+            timestamp = stop_time_dict[id]
+            stoptime_new_list.append(timestamp)
+            try:
+                date2 = datetime.strptime(str(timestamp), datetimeFormat)
+            except ValueError:
+                date2 = datetime.strptime(str(timestamp), datetimeFormat2)
+        else:
+            empty = empty + 1
+            stoptime_new_list.append("")
+            time_new_list.append("")
+            continue
+    elif (pd.isna(row['stop_time']) and int(P1_CODE) == 99 and int(MM60101_CODE) == 99):
+        empty = empty + 1
+        stoptime_new_list.append("")
+        time_new_list.append("")
+        continue
+    else:
+        stoptime_new_list.append("")
+        try:
+            date2 = datetime.strptime(str(row['stop_time']), datetimeFormat)
+        except ValueError:
+            date2 = datetime.strptime(str(row['stop_time']), datetimeFormat2)
+    try:
+        date1 = datetime.strptime(str(row['start_time']), datetimeFormat)
+    except ValueError:
+        date1 = datetime.strptime(str(row['start_time']), datetimeFormat2)
+    delta = date2 - date1
+    miao = delta.seconds
+    fen = round(miao/60, 2)
+    time_new_list.append(fen)
+
+col_name = data2.columns.tolist()
+
+col_name.insert(col_name.index('stop_time')+1, 'stoptime_new')
+data2 = data2.reindex(columns=col_name)
+data2['stoptime_new'] = stoptime_new_list
+
+col_name.insert(col_name.index('cost_time')+1, 'time_new')
+data2 = data2.reindex(columns=col_name)
+data2['time_new'] = time_new_list
+            
+data2.to_excel('a_out_0719.xlsx')
\ No newline at end of file
diff --git a/pydata-han/Process/get_stoptime_z.py b/pydata-han/Process/get_stoptime_z.py
new file mode 100644
index 0000000..518396e
--- /dev/null
+++ b/pydata-han/Process/get_stoptime_z.py
@@ -0,0 +1,77 @@
+import pandas as pd
+from datetime import datetime
+
+time_dict = {}
+stop_time_dict = {}
+data = pd.read_excel(r'Z.xlsx')
+
+datetimeFormat = '%Y-%m-%dT%H:%M:%S.%f+08:00'
+datetimeFormat2 = '%Y-%m-%dT%H:%M:%S+08:00'
+
+for index, row in data.iterrows():
+    id = str(row['ticket_id'])
+    timestamp = str(row['timestamp'])
+    if (id not in time_dict.keys()):
+        time_dict[id] = []
+        time_dict[id].append(timestamp)
+    else:
+        time_dict[id].append(timestamp)
+
+for key, value in time_dict.items():
+    stop_time_dict[key] = value[-1]
+
+data2 = pd.read_excel(r'z_out_0715.xlsx')
+
+stoptime_new_list = []
+time_new_list = []
+empty = 0
+
+for index, row in data2.iterrows():
+    print(index)
+    id = str(row['ticket_id'])
+    P1_CODE = row['P1_CODE']
+    MM60101_CODE = row['MM60101_CODE']
+    if (pd.isna(row['stop_time']) and (int(P1_CODE) != 99 or int(MM60101_CODE) != 99)):
+        if (id in stop_time_dict.keys()):
+            timestamp = stop_time_dict[id]
+            stoptime_new_list.append(timestamp)
+            try:
+                date2 = datetime.strptime(str(timestamp), datetimeFormat)
+            except ValueError:
+                date2 = datetime.strptime(str(timestamp), datetimeFormat2)
+        else:
+            empty = empty + 1
+            stoptime_new_list.append("")
+            time_new_list.append("")
+            continue
+    elif (pd.isna(row['stop_time']) and int(P1_CODE) == 99 and int(MM60101_CODE) == 99):
+        empty = empty + 1
+        stoptime_new_list.append("")
+        time_new_list.append("")
+        continue
+    else:
+        stoptime_new_list.append("")
+        try:
+            date2 = datetime.strptime(str(row['stop_time']), datetimeFormat)
+        except ValueError:
+            date2 = datetime.strptime(str(row['stop_time']), datetimeFormat2)
+    try:
+        date1 = datetime.strptime(str(row['start_time']), datetimeFormat)
+    except ValueError:
+        date1 = datetime.strptime(str(row['start_time']), datetimeFormat2)
+    delta = date2 - date1
+    miao = delta.seconds
+    fen = round(miao/60, 2)
+    time_new_list.append(fen)
+
+col_name = data2.columns.tolist()
+
+col_name.insert(col_name.index('stop_time')+1, 'stoptime_new')
+data2 = data2.reindex(columns=col_name)
+data2['stoptime_new'] = stoptime_new_list
+
+col_name.insert(col_name.index('cost_time')+1, 'time_new')
+data2 = data2.reindex(columns=col_name)
+data2['time_new'] = time_new_list
+            
+data2.to_excel('z_out_0719.xlsx')
\ No newline at end of file
diff --git a/pydata-han/Process/split.py b/pydata-han/Process/split.py
new file mode 100644
index 0000000..3e9d663
--- /dev/null
+++ b/pydata-han/Process/split.py
@@ -0,0 +1,33 @@
+import pandas as pd
+
+
+data1 = pd.read_excel(r'ticket_log_PBL_testing3.xlsx')
+A1 = data1[data1['contest_id'].str.contains('高阶能力测试B|高阶能力测试C')]
+Z1 = data1[data1['contest_id'].str.contains('数学建模')]
+A1.to_excel('A1.xlsx')
+Z1.to_excel('Z1.xlsx')
+
+data2 = pd.read_excel(r'ticket_log_PBL_testing3.xlsx', sheet_name='Result 2')
+A2 = data2[data2['contest_id'].str.contains('高阶能力测试B|高阶能力测试C')]
+Z2 = data2[data2['contest_id'].str.contains('数学建模')]
+A2.to_excel('A2.xlsx')
+Z2.to_excel('Z2.xlsx')
+
+
+data3 = pd.read_excel(r'ticket_log_PBL_testing3.xlsx', sheet_name='Result 3')
+A3 = data3[data3['contest_id'].str.contains('高阶能力测试B|高阶能力测试C')]
+Z3 = data3[data3['contest_id'].str.contains('数学建模')]
+A3.to_excel('A3.xlsx')
+Z3.to_excel('Z3.xlsx')
+
+data4 = pd.read_excel(r'ticket_log_PBL_testing3.xlsx', sheet_name='Result 4')
+A4 = data4[data4['contest_id'].str.contains('高阶能力测试B|高阶能力测试C')]
+Z4 = data4[data4['contest_id'].str.contains('数学建模')]
+A4.to_excel('A4.xlsx')
+Z4.to_excel('Z4.xlsx')
+
+A = pd.concat([A1, A2, A3, A4])
+Z = pd.concat([Z1, Z2, Z3, Z4])
+
+A.to_excel('A.xlsx')
+Z.to_excel('Z.xlsx')
\ No newline at end of file
diff --git a/pydata-han/Process/statistic_time.py b/pydata-han/Process/statistic_time.py
new file mode 100644
index 0000000..4398a37
--- /dev/null
+++ b/pydata-han/Process/statistic_time.py
@@ -0,0 +1,60 @@
+import pandas as pd
+
+data_a = pd.read_excel(r'a_out_0719.xlsx')
+data_z = pd.read_excel(r'z_out_0719.xlsx')
+
+level0to3 = 0
+level3to6 = 0
+level6to9 = 0
+level9to12 = 0
+level12to15 = 0
+levelabove15 = 0
+
+level0to5 = 0
+level5to10 = 0
+level10to15 = 0
+level15to20 = 0
+level20to25 = 0
+level25to30 = 0
+levelabove30 = 0
+
+print("A")
+for index, row in data_a.iterrows():
+    if (pd.isna(row['time_new'])):
+        continue
+    fen = float(row['time_new'])
+    if (fen <= 5):
+        level0to5 = level0to5 + 1
+    elif (fen > 5 and fen <= 10):
+        level5to10 = level5to10 + 1
+    elif (fen > 10 and fen <= 15):
+        level10to15 = level10to15 + 1
+    elif (fen > 15 and fen <= 20):
+        level15to20 = level15to20 + 1
+    elif (fen > 20 and fen <= 25):
+        level20to25 = level20to25 + 1
+    elif (fen > 25 and fen <= 30):
+        level25to30 = level25to30 + 1
+    else:
+        levelabove30 = levelabove30 + 1
+print(level0to5, level5to10, level10to15, level15to20, level20to25, level25to30, levelabove30)
+
+print("z")
+for index, row in data_z.iterrows():
+    if (pd.isna(row['time_new'])):
+        continue
+    fen = float(row['time_new'])
+    if (fen <= 3):
+        level0to3 = level0to3 + 1
+    elif (fen > 3 and fen <= 6):
+        level3to6 = level3to6 + 1
+    elif (fen > 6 and fen <= 9):
+        level6to9 = level6to9 + 1
+    elif (fen > 9 and fen <= 12):
+        level9to12 = level9to12 + 1
+    elif (fen > 12 and fen <= 15):
+        level12to15 = level12to15 + 1
+    else:
+        levelabove15 = levelabove15 + 1
+
+print(level0to3, level3to6, level6to9, level9to12, level12to15,levelabove15)
\ No newline at end of file