add exp

tensnsorflow/exp_channel.py

 import pandas as pd
 import pymysql
 
+
 def con_sql(db,sql):
     cursor = db.cursor()
     try:
@@ -14,9 +15,29 @@ def con_sql(db,sql):
         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)
+    n = df.shape[0]
+    manufacturer = df[0].unique()
+    manufacturer_map = {}
     print("manufacturer unique")
-    print(len(df[0].unique()))
+    print(len(manufacturer))
\ No newline at end of file
+    for i in manufacturer:
+        manufacturer_map[i] = df.loc[df[0]==i].shape[0]/n
+    print(sorted(manufacturer_map.items(),key = lambda x:x[1]))
+    channel = df[1].unique()
+    channel_map = {}
+    print("channel unique")
+    print(len(channel))
+    for i in channel:
+        channel_map[i] = df.loc[df[1] == i].shape[0] / n
+    print(sorted(channel_map.items(), key=lambda x: x[1]))
+
+
+if __name__ == "__main__":
+    exp()
+
+