How to “negative select” columns in spark's dataframe

Question

I can\'t figure it out, but guess it\'s simple. I have a spark dataframe df. This df has columns \"A\",\"B\" and \"C\". Now let\'s say I have an Array containing the name of

Answer 1

In pyspark you can do

df.select(list(set(df.columns) - set(["B"])))

Using more than one line you can also do

cols = df.columns
cols.remove("B")
df.select(cols)