| 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, arrange,
as.data.frame,
attach,SparkDataFrame-method,
cache, checkpoint,
coalesce, collect,
colnames, coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, describe,
dim, distinct,
dropDuplicates, 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 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)