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Find Differences Between Two Columns of pandas DataFrame in Python (3 Examples) | equals() Function

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Python code of this video:
import pandas as pd # Load pandas
data = pd.DataFrame({'x1':[1, 3, 2, 4, 7, 5], # Create first pandas DataFrame
'x2':['a', 'b', 'c', 'd', 'e', 'f'],
'x3':range(1, 7)})
print(data) # Print first pandas DataFrame
print(data['x1'].equals(data['x3'])) # Apply equals function
# False
print(data['x1'] == data['x3']) # Apply logical operator
# 0 True
# 1 False
# 2 False
# 3 True
# 4 False
# 5 False
# dtype: bool
print(data['x1'].isin(data['x3'])) # Apply isin function
# 0 True
# 1 True
# 2 True
# 3 True
# 4 False
# 5 True
# Name: x1, dtype: bool
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import pandas as pd # Load pandas
data = pd.DataFrame({'x1':[1, 3, 2, 4, 7, 5], # Create first pandas DataFrame
'x2':['a', 'b', 'c', 'd', 'e', 'f'],
'x3':range(1, 7)})
print(data) # Print first pandas DataFrame
print(data['x1'].equals(data['x3'])) # Apply equals function
# False
print(data['x1'] == data['x3']) # Apply logical operator
# 0 True
# 1 False
# 2 False
# 3 True
# 4 False
# 5 False
# dtype: bool
print(data['x1'].isin(data['x3'])) # Apply isin function
# 0 True
# 1 True
# 2 True
# 3 True
# 4 False
# 5 True
# Name: x1, dtype: bool
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