update

eda/smart_rank/gyz_test.py

@@ -98,7 +98,7 @@ spark.sparkContext.addPyFile("/srv/apps/ffm-baseline_git/eda/smart_rank/tool.py"
 device_ids_lst_rdd = spark.sparkContext.parallelize(device_info)
 result = device_ids_lst_rdd.repartition(100).map(lambda x: get_user_service_portrait(x, all_word_tags, all_tag_tag_type, all_3tag_2tag, all_tags_name, size=None, pay_time=pay_time))
 print(result.take(10))
-df = spark.createDataFrame(result).toDF("device", "search_words", "user_portrait").dropna.toPandas()
+df = spark.createDataFrame(result).dropna().toDF("device", "search_words", "user_portrait").toPandas()
 df.to_csv("~/test_df.csv", index=False)