| dropna {SparkR} | R Documentation |
dropna, na.omit - Returns a new SparkDataFrame omitting rows with 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(),
alias(),
arrange(),
as.data.frame(),
attach,SparkDataFrame-method,
broadcast(),
cache(),
checkpoint(),
coalesce(),
collect(),
colnames(),
coltypes(),
createOrReplaceTempView(),
crossJoin(),
cube(),
dapplyCollect(),
dapply(),
describe(),
dim(),
distinct(),
dropDuplicates(),
drop(),
dtypes(),
exceptAll(),
except(),
explain(),
filter(),
first(),
gapplyCollect(),
gapply(),
getNumPartitions(),
group_by(),
head(),
hint(),
histogram(),
insertInto(),
intersectAll(),
intersect(),
isLocal(),
isStreaming(),
join(),
limit(),
localCheckpoint(),
merge(),
mutate(),
ncol(),
nrow(),
persist(),
printSchema(),
randomSplit(),
rbind(),
rename(),
repartitionByRange(),
repartition(),
rollup(),
sample(),
saveAsTable(),
schema(),
selectExpr(),
select(),
showDF(),
show(),
storageLevel(),
str(),
subset(),
summary(),
take(),
toJSON(),
unionAll(),
unionByName(),
union(),
unpersist(),
withColumn(),
withWatermark(),
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 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)