dropna {SparkR} | R Documentation |
dropna, na.omit - Returns a new SparkDataFrame omitting rows with null values.
fillna - Replace null values.
dropna(x, how = c("any", "all"), minNonNulls = NULL, cols = NULL) na.omit(object, ...) fillna(x, value, cols = NULL) ## S4 method for signature 'SparkDataFrame' dropna(x, how = c("any", "all"), minNonNulls = NULL, cols = NULL) ## S4 method for signature 'SparkDataFrame' na.omit(object, how = c("any", "all"), minNonNulls = NULL, cols = NULL) ## S4 method for signature 'SparkDataFrame' fillna(x, value, cols = NULL)
x |
a SparkDataFrame. |
how |
"any" or "all".
if "any", drop a row if it contains any nulls.
if "all", drop a row only if all its values are null.
if |
minNonNulls |
if specified, drop rows that have less than
|
cols |
optional list of column names to consider. In |
object |
a SparkDataFrame. |
... |
further arguments to be passed to or from other methods. |
value |
value to replace null values with. Should be an integer, numeric, character or named list. If the value is a named list, then cols is ignored and value must be a mapping from column name (character) to replacement value. The replacement value must be an integer, numeric or character. |
A SparkDataFrame.
dropna since 1.4.0
na.omit since 1.5.0
fillna since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, arrange
,
as.data.frame
, attach
,
cache
, coalesce
,
collect
, colnames
,
coltypes
,
createOrReplaceTempView
,
crossJoin
, dapplyCollect
,
dapply
, describe
,
dim
, distinct
,
dropDuplicates
, drop
,
dtypes
, except
,
explain
, filter
,
first
, gapplyCollect
,
gapply
, getNumPartitions
,
group_by
, head
,
histogram
, insertInto
,
intersect
, isLocal
,
join
, limit
,
merge
, mutate
,
ncol
, nrow
,
persist
, printSchema
,
randomSplit
, rbind
,
registerTempTable
, rename
,
repartition
, sample
,
saveAsTable
, schema
,
selectExpr
, select
,
showDF
, show
,
storageLevel
, str
,
subset
, take
,
union
, unpersist
,
withColumn
, with
,
write.df
, write.jdbc
,
write.json
, write.orc
,
write.parquet
, write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D dropna(df)
## End(Not run)
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D fillna(df, 1)
##D fillna(df, list("age" = 20, "name" = "unknown"))
## End(Not run)