向pyspark Dataframe添加新行 [英] Add new rows to pyspark Dataframe

问题描述

是非常新的pyspark，但对熊猫很熟悉. 我有一个pyspark数据框

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)

希望添加新的行(4,5,7)，以便输出:

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|
+---+----+----+

推荐答案

由于 thebluephantom 已经说工会是要走的路.我只是在回答您的问题，为您提供pyspark示例:

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

# if not already created automatically, instantiate Sparkcontext
spark = SparkSession.builder.getOrCreate()

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()

也请查看databricks常见问题解答: https://kb.databricks.com/data/append-a-row-to-rdd-or-dataframe.html

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

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