如何在 Python 中创建示例单列 Spark DataFrame? [英] How to create a sample single-column Spark DataFrame in Python?

问题描述

我想创建一个示例单列 DataFrame，但以下代码不起作用:

I want to create a sample single-column DataFrame, but the following code is not working:

df = spark.createDataFrame(["10","11","13"], ("age"))

## ValueError
## ...
## ValueError: Could not parse datatype: age

预期结果:

age
10
11
13

推荐答案

以下代码无效

对于单个元素，您需要一个架构作为类型

With single element you need a schema as type

spark.createDataFrame(["10","11","13"], "string").toDF("age")

或 DataType:

from pyspark.sql.types import StringType

spark.createDataFrame(["10","11","13"], StringType()).toDF("age")

名称元素应该是元组和模式作为序列:

With name elements should be tuples and schema as sequence:

spark.createDataFrame([("10", ), ("11", ), ("13",  )], ["age"])

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