| colnames {SparkR} | R Documentation |
Return a vector of column names.
colnames(x, do.NULL = TRUE, prefix = "col") colnames(x) <- value columns(x) ## S4 method for signature 'SparkDataFrame' columns(x) ## S4 method for signature 'SparkDataFrame' names(x) ## S4 replacement method for signature 'SparkDataFrame' names(x) <- value ## S4 method for signature 'SparkDataFrame' colnames(x) ## S4 replacement method for signature 'SparkDataFrame' colnames(x) <- value
x |
a SparkDataFrame. |
do.NULL |
currently not used. |
prefix |
currently not used. |
value |
a character vector. Must have the same length as the number of columns to be renamed. |
columns since 1.4.0
names since 1.5.0
names<- since 1.5.0
colnames since 1.6.0
colnames<- since 1.6.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame,
attach,SparkDataFrame-method,
cache, checkpoint,
coalesce, collect,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, dropna,
drop, dtypes,
except, explain,
filter, first,
gapplyCollect, gapply,
getNumPartitions, group_by,
head, hint,
histogram, insertInto,
intersect, isLocal,
isStreaming, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
take, toJSON,
union, unpersist,
withColumn, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.stream,
write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D columns(df)
##D colnames(df)
## End(Not run)