Excluding two columns in IF functions

Question

I'm doing a for where I want to exclude both 'date' and 'unix' columns from the data frame.

How can I do it?

from sklearn import preprocessing
from tensortrade.data.cdd import CryptoDataDownload 
import pandas as pd

cdd = CryptoDataDownload()

data = cdd.fetch("Bitstamp", "USD", "BTC", "1h")

for col in data.columns:
  if col !=  'date' and 'unix' :
    data[col]=data[col].pct_change()
    data.dropna(inplace=True)
    data[col] = preprocessing.scale(data[col].values)

Answer 1

For test multiple values is possible use in with list:

if col not in ['date', 'unix']:

Another idea for your solution with Index.difference for all columns without specified in list, then is used DataFrame.apply, removed missing rows and last normalized:

cols = data.columns.difference(['date', 'unix'])
data[cols]=data[cols].apply(lambda x: x.pct_change())
data = data.dropna(subset=cols)
data[cols]=data[cols].apply(lambda x: preprocessing.scale(x))