包含在df1但不在df2的行,去重df1.subtract(df2).show()#新DataFrame中包含只存在于df1和df2中的行,去重df1.intersect(df2).sort(df1.C1.desc()).show()#与intersect相同,但保留duplicatedf1.intersectAll(df2).sort("C1","C2").show()#将两个DataFrame进行union,union不去重,可用distinct跟后...
intersect(other) Return a new DataFrame containing rows only in both this DataFrame and another DataFrame. 求交集 intersectAll(other) Return a new DataFrame containing rows in both this DataFrame and another DataFrame while preserving duplicates. isEmpty() Returns True if this DataFrame is empty. ...
val ySet = y.toSparse.indices.toSet val intersectionSize = xSet.intersect(ySet).size.toDouble val unionSize = xSet.size + ySet.size - intersectionSize assert(unionSize > 0, "The union of two input sets must have at least 1 elements") 1 - intersectionSize / unionSize } @Since("2.1...
根据指定的columns Groups the DataFrame,这样可以在DataFrame上进行聚合。从所有可用的聚合函数中查看GroupedData groupby()是groupBy()的一个别名。 Parameters:cols–list of columns to group by.每个元素应该是一个column name (string)或者一个expression (Column)。 >>>df.groupBy().avg().collect() [Row(avg...
val intersectionSize=xSet.intersect(ySet).size.toDouble val unionSize=xSet.size+ySet.size-intersectionSize assert(unionSize >0,"The union of two input sets must have at least 1 elements") 1-intersectionSize/unionSize } @Since("2.1.0") ...
- intersect - - - intersectAll - - - exceptAll - - - distinct - - - dropDuplicates - - - dropna - - - fillna - - - replace - - - withColumn - - - withColumnRenamed - - - drop - - - limit - - - hint - - - repartition - - -...
df.columns ---['age', 'name']--- 2.7.corr(col1,col2,menthod=None):计算一个DataFrame相关的两列为double值。通常只支持皮尔逊相关系数。DataFrame.corr()和DataFrameStatFunctions.corr()类似。 1.col1:第一列的名称 2.col2:第二列的名称 3....
intersect(other)[source] Return a new DataFrame containing rows only in both this frame and another frame. This is equivalent to INTERSECT in SQL. New in version 1.3. isLocal()[source] Returns True if the collect() and take() methods can be run locally (without any Spark executors). ...
- intersect - - - intersectAll - - - exceptAll - - - distinct - - - dropDuplicates - - - dropna - - - fillna - - - replace - - - withColumn - - - withColumnRenamed - - - drop - - - limit - - - hint - - - repartition - - -...
intersect(other) 返回一个新的DataFrame,新的DataFrame中的行是这个DataFrame与另一个DataFrame共有的行。这个函数也就是求交集 相当于SQL中的INTERSECT New in version 1.3. isLocal() 如果collect()和take()能在本地运行返回True (without any Spark executors) ...