add liuxao

tensnsorflow/ffm.py

@@ -157,6 +157,12 @@ def get_data():
                             6:"device_type",7:"manufacturer",8:"channel",9:"top",10:"time",11:"device_id"})
     print("esmm data ok")
     # print(df.head(2))
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == "1")]
+    liuxiao.to_csv(path + "beforeliuxiao.csv", index=False)
+    print(liuxiao.head())
+    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == 1)]
+    liuxiao.to_csv(path + "1beforeliuxiao.csv", index=False)
+    print(liuxiao.head())
 
 
     df["clevel1_id"] = df["clevel1_id"].astype("str")
@@ -165,12 +171,6 @@ def get_data():
     df["top"] = df["top"].astype("str")
     df["y"] = df["stat_date"].str.cat([df["device_id"].values.tolist(),df["y"].values.tolist(),df["z"].values.tolist()], sep=",")
 
-    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == "1")]
-    liuxiao.to_csv(path + "beforeliuxiao.csv", index=False)
-    print(liuxiao.head())
-    liuxiao = df[(df["device_id"] == "358035085192742") & (df["y"] == 1)]
-    liuxiao.to_csv(path + "1beforeliuxiao.csv", index=False)
-    print(liuxiao.head())
 
     df = df.drop(["z","stat_date","device_id"], axis=1).fillna(0.0)
     print(df.head(2))