What’s the equivalent of Panda’s value_counts() in PySpark?

It’s more or less the same:

spark_df.groupBy('column_name').count().orderBy('count')

In the groupBy you can have multiple columns delimited by a ,

For example groupBy('column_1', 'column_2')