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Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
CSDN-Ada助手: Python入门 技能树或许可以帮到你：https://edu.csdn.net/skill/python?utm_source=AI_act_python pyspark dataframe分位数计算yisun123456: df.approxQuantile(col='count',probabilities=[0.1,0.3,0.5,0.7,0.9],relativeError=0.00001) mongodb 操作符$枫叶-哈哈: 写着很详细，厉害 pyspark dataframe分位数计算yisun123456: wind = Window.partitionBy(['name','addr']) med = F.expr('percentile_approx(len, array(0.25, 0.5, 0.75, 0.95))') #df.withColumn('med_val', med.over(wind)).show() spark.read.text("/user/data/my_name/rec/seq_outputs/{}".format(cur_date))\ .withColumn('len',F.split(col('value'),';')[4])\ .withColumn('len',col('len').cast(IntegerType()))\ .withColumn('med_val', med.over(wind)) \ .withColumn('rn',F.expr("row_number() over(partition by name.addr order by time)"))\ .where('rn==1')\ .orderBy([F.col('name'),F.col('addr')])\ .show() python dataframe计算日期对应的周数或者星期几sanmu400: 代码运行错误 |
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