Add new rows to pyspark Dataframe

问题

Am very new pyspark but familiar with pandas. I have a pyspark Dataframe

# instantiate Spark
spark = SparkSession.builder.getOrCreate()

# make some test data
columns = ['id', 'dogs', 'cats']
vals = [
     (1, 2, 0),
     (2, 0, 1)
]

# create DataFrame
df = spark.createDataFrame(vals, columns)

wanted to add new Row (4,5,7) so it will output:

df.show()
+---+----+----+
| id|dogs|cats|
+---+----+----+
|  1|   2|   0|
|  2|   0|   1|
|  4|   5|   7|
+---+----+----+

回答1:

As thebluephantom has already said union is the way to go. I'm just answering your question to give you a pyspark example:

columns = ['id', 'dogs', 'cats']
vals = [(1, 2, 0), (2, 0, 1)]

df = spark.createDataFrame(vals, columns)

newRow = spark.createDataFrame([(4,5,7)], columns)
appended = df.union(newRow)
appended.show()

Please have also a lookat the databricks FAQ: https://kb.databricks.com/data/append-a-row-to-rdd-or-dataframe.html

回答2:

From something I did, using union, showing a block partial coding - you need to adapt of course to your own situation:

val dummySchema = StructType(
StructField("phrase", StringType, true) :: Nil)
var dfPostsNGrams2 = spark.createDataFrame(sc.emptyRDD[Row], dummySchema)
for (i <- i_grams_Cols) {
    val nameCol = col({i})
    dfPostsNGrams2 = dfPostsNGrams2.union(dfPostsNGrams.select(explode({nameCol}).as("phrase")).toDF )
 }

union of DF with itself is the way to go.

来源：https://stackoverflow.com/questions/52685609/add-new-rows-to-pyspark-dataframe

标签

python

apache-spark

pyspark