DataFrame object has no attribute 'col'

Question

In Spark: The Definitive Guide it says:

If you need to refer to a specific DataFrame’s column, you can use the col method on the specific DataFrame.

For example (in Python/Pyspark):

df.col("count")

However, when I run the latter code on a dataframe containing a column count I get the error 'DataFrame' object has no attribute 'col'. If I try column I get a similar error.

Is the book wrong, or how should I go about doing this?

I'm on Spark 2.3.1. The dataframe was created with the following:

df = spark.read.format("json").load("/Users/me/Documents/Books/Spark-The-Definitive-Guide/data/flight-data/json/2015-summary.json")

Answer 1

The book you're referring to describes Scala / Java API. In PySpark use []

df["count"]