Pandas: need to remove the row that contains a string. BUT my condition is not working

Question

from chainer import datasets
from chainer.datasets import tuple_dataset
import numpy as np
import matplotlib.pyplot as plt
import chainer
import pandas as pd 
import math

I have a file CSV contains 40300 data.

df =pd.read_csv("Myfile.csv", header = None)

in this area i am removing the ignored rows and columns

columns = [0,1]
rows = [0,1,2]
df.drop(columns, axis = 1, inplace = True) #drop the two first columns that no need to the code
df.drop(rows,  axis = 0, inplace = True) #drop the two first rwos that no need to the code

in this area i want to remove the row if string data type faced BUT its not working

df[~df.E.str.contains("Intf Shut")]~this part is not working with me 

df.to_csv('summary.csv', index = False, header = False)

df.head()

Answer 1

You have to reassign the value of df in df

df = df[~df.E.str.contains("Intf Shut")]