ne() Function Of Pandas DataFrame Class

Overview:

The ne() function implements the binary operation "Not Equal To"(!=) for a pandas DataFrame instance to be compared with another DataFrame.
The result of the (un)equality check by ne() method is returned as a DataFrame.
The returned DataFrame instance contains Boolean values denoting the results of the equality test for the elements present in two DataFrame instances.

# Python example program that checks elements from two pandas DataFrame instances for

# unequality

import pandas as pd

d1 = [(10, 20, 30),

(40, 50, 60),

(70, 80, 90)];

d2 = [(10, 15, 30),

(20, 25, 50),

(70, 75, 90)];

dataFrame1 = pd.DataFrame(data=d1);

dataFrame2 = pd.DataFrame(data=d2);

# Check which dataframe elements are not equal

result = dataFrame1.ne(dataFrame2);

# Print first data frame

print("Dataframe1:");

print(dataFrame1);

# Print second data frame

print("Dataframe2:");

print(dataFrame2);

# Print Dataframe1 != Dataframe2

print("Result of dataFrame1.ne(dataFrame2):");

print(result);

Dataframe1:

0 1 2

0 10 20 30

1 40 50 60

2 70 80 90

Dataframe2:

0 1 2

0 10 15 30

1 20 25 50

2 70 75 90

Result of dataFrame1.ne(dataFrame2):

0 1 2

0 False True False

1 True True True

2 False True False