Pandas - Drop rows based on row value for multiple csv files

Question

There are multiple csv files in which I want to delete entire rows based on some specific keywords contained in rows. If the csv files contain x , p or z in any row delete the entire row. It will loop through all csv files. Sample dataset:

>> df

    k   y    j
0   a   NaN  x
1   p   v    z
2   m   n    9

Expected outcome:

    k   y    j
0   m   n    9

I tried:

import os
import glob
import pandas as pd

os.chdir(r'mypath')
allFiles = glob.glob("*.csv")
for file in allFiles:
   df = pd.read_csv(file)
   #then no idea what to do

Answer 1

Try:

df = df[(df.ne("x")&df.ne("p")&df.ne("z")).all(axis=1)]