[[ {SparkR}R Documentation

Subset

Description

Return subsets of DataFrame according to given conditions

Usage

## S4 method for signature 'DataFrame,numericOrcharacter'
x[[i]]

## S4 method for signature 'DataFrame,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'DataFrame,Column'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'DataFrame'
subset(x, subset, select, ...)

Arguments

x

A DataFrame

subset

(Optional) A logical expression to filter on rows

select

expression for the single Column or a list of columns to select from the DataFrame

Value

A new DataFrame containing only the rows that meet the condition with selected columns

See Also

Other DataFrame functions: $, $<-, select, select, select,DataFrame,Column-method, select,DataFrame,list-method, selectExpr; DataFrame-class, dataFrame, groupedData; agg, agg, count,GroupedData-method, summarize, summarize; arrange, arrange, arrange, orderBy, orderBy; as.data.frame, as.data.frame,DataFrame-method; attach, attach,DataFrame-method; cache; collect; colnames, colnames, colnames<-, colnames<-, columns, names, names<-; coltypes, coltypes, coltypes<-, coltypes<-; columns, dtypes, printSchema, schema, schema; count, nrow; describe, describe, describe, summary, summary, summary,PipelineModel-method; dim; distinct, unique; dropna, dropna, fillna, fillna, na.omit, na.omit; dtypes; except, except; explain, explain; filter, filter, where, where; first, first; groupBy, groupBy, group_by, group_by; head; insertInto, insertInto; intersect, intersect; isLocal, isLocal; join; limit, limit; merge, merge; mutate, mutate, transform; ncol; persist; printSchema; rbind, rbind, unionAll, unionAll; registerTempTable, registerTempTable; rename, rename, withColumnRenamed, withColumnRenamed; repartition; sample, sample, sample_frac, sample_frac; saveAsParquetFile, saveAsParquetFile, write.parquet, write.parquet; saveAsTable, saveAsTable; saveDF, saveDF, write.df, write.df; selectExpr; showDF, showDF; show, show, show,GroupedData-method; take; transform, withColumn, withColumn; unpersist; write.json, write.json

Other subsetting functions: $, $<-, select, select, select,DataFrame,Column-method, select,DataFrame,list-method, selectExpr; filter, filter, where, where

Examples

## Not run: 
##D   # Columns can be selected using `[[` and `[`
##D   df[[2]] == df[["age"]]
##D   df[,2] == df[,"age"]
##D   df[,c("name", "age")]
##D   # Or to filter rows
##D   df[df$age > 20,]
##D   # DataFrame can be subset on both rows and Columns
##D   df[df$name == "Smith", c(1,2)]
##D   df[df$age %in% c(19, 30), 1:2]
##D   subset(df, df$age %in% c(19, 30), 1:2)
##D   subset(df, df$age %in% c(19), select = c(1,2))
##D   subset(df, select = c(1,2))
## End(Not run)

[Package SparkR version 1.6.0 Index]