| withColumnRenamed {SparkR} | R Documentation |
Rename an existing column in a DataFrame.
## S4 method for signature 'DataFrame,character,character' withColumnRenamed(x, existingCol, newCol) ## S4 method for signature 'DataFrame' rename(x, ...) rename(x, ...) withColumnRenamed(x, existingCol, newCol)
x |
A DataFrame |
existingCol |
The name of the column you want to change. |
newCol |
The new column name. |
newColPair |
A named pair of the form new_column_name = existing_column |
A DataFrame with the column name changed.
Other DataFrame functions: $,
$<-, select,
select,
select,DataFrame,Column-method,
select,DataFrame,list-method,
selectExpr; DataFrame-class,
dataFrame, groupedData;
[, [, [[,
subset; agg,
agg,
count,GroupedData-method,
summarize, summarize;
arrange, arrange,
arrange, orderBy,
orderBy; as.data.frame,
as.data.frame,DataFrame-method;
attach,
attach,DataFrame-method;
cache; collect;
colnames, colnames,
colnames<-, colnames<-,
columns, names,
names<-; coltypes,
coltypes, coltypes<-,
coltypes<-; columns,
dtypes, printSchema,
schema, schema;
count, nrow;
describe, describe,
describe, summary,
summary,
summary,PipelineModel-method;
dim; distinct,
unique; dropna,
dropna, fillna,
fillna, na.omit,
na.omit; dtypes;
except, except;
explain, explain;
filter, filter,
where, where;
first, first;
groupBy, groupBy,
group_by, group_by;
head; insertInto,
insertInto; intersect,
intersect; isLocal,
isLocal; join;
limit, limit;
merge, merge;
mutate, mutate,
transform; ncol;
persist; printSchema;
rbind, rbind,
unionAll, unionAll;
registerTempTable,
registerTempTable;
repartition; sample,
sample, sample_frac,
sample_frac;
saveAsParquetFile,
saveAsParquetFile,
write.parquet, write.parquet;
saveAsTable, saveAsTable;
saveDF, saveDF,
write.df, write.df;
selectExpr; showDF,
showDF; show,
show,
show,GroupedData-method;
take; transform,
withColumn, withColumn;
unpersist; write.json,
write.json
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D newDF <- withColumnRenamed(df, "col1", "newCol1")
## End(Not run)
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D newDF <- rename(df, col1 = df$newCol1)
## End(Not run)