add print

eda/esmm/Feature_pipline/data2ffm.py

@@ -114,10 +114,10 @@ class multiFFMFormatPandas:
         x = 0
         while True:
             if x + step < data.__len__():
-                data_list.append(data.loc[x:x + step])
-                x = x + step + 1
+                data_list.append(data.iloc[x:x + step])
+                x = x + step
             else:
-                data_list.append(data.loc[x:data.__len__()])
+                data_list.append(data.iloc[x:data.__len__()])
                 break
 
         return data_list

tensnsorflow/exp_channel.py

+import pandas as pd
+import pymysql
+
+def con_sql(db,sql):
+    cursor = db.cursor()
+    try:
+        cursor.execute(sql)
+        result = cursor.fetchall()
+        df = pd.DataFrame(list(result))
+    except Exception:
+        print("发生异常", Exception)
+        df = pd.DataFrame()
+    finally:
+        db.close()
+    return df
+
+def exp():
+    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+    sql = "select manufacturer,channel from user_feature"
+    df = con_sql(db, sql)
+    print("manufacturer unique")
+    print(len(df[0].unique()))
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