Unpivot a DataFrame from wide format to long format.

This is the reverse to groupBy(...).pivot(...).agg(...), except for the aggregation, which cannot be reversed.

Usage

unpivot(x, ids, values, variableColumnName, valueColumnName)

# S4 method for class 'SparkDataFrame,ANY,ANY,character,character'
unpivot(x, ids, values, variableColumnName, valueColumnName)

# S4 method for class 'SparkDataFrame,ANY,ANY,character,character'
melt(x, ids, values, variableColumnName, valueColumnName)

Arguments

x

a SparkDataFrame.

ids

a character vector or a list of columns

values

a character vector, a list of columns or NULL. If not NULL must not be empty. If NULL, uses all columns that are not set as ids.

variableColumnName

character Name of the variable column.

valueColumnName

character Name of the value column.

Value

a SparkDataFrame.

Note

unpivot since 3.4.0

melt since 3.4.0

See also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) { # \dontrun{
df <- createDataFrame(data.frame(
  id = 1:3, x = c(1, 3, 5), y = c(2, 4, 6), z = c(-1, 0, 1)
))

head(unpivot(df, "id", c("x", "y"), "var", "val"))

head(unpivot(df, "id", NULL, "var", "val"))
} # }