[Python] dictionary of columns to compare in data frame

i have a data frame with two columns (name1, name2) i would like to use a dictionary of column names and then do a for loop that compares if the values are the same and specifically show the values that are not the same

when i try the following i get an error "ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()"

# create df
test2 = {'NAME1': ['Tom', 'nick', 'krish', 'jack'],
'NAME': ['Tom', 'nick', 'Carl', 'Bob']}
dfx = pd.DataFrame(test2)

#create dictionary
thisdict = {
"NAME1": "NAME"
}

#loop and display differences
for a, b in thisdict.items():
if dfx[a] != dfx:
x = dfx[[a, b]]
print(x)

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