is operator with pandas dataframe

Question

import pandas as pd

dt = pd.DataFrame({
'name' : ['o', 'a', 'x'],
'mark' : [7, 4, 10]
})

Why does it return False when I write dt.iloc[1] is dt.iloc[1] or dt.iloc[1,2] is dt.iloc[1,2] ?

Thanks!

Does this answer your question? [Understanding the "is" operator](https://stackoverflow.com/questions/13650293/understanding-the-is-operator) — Ynjxsjmh, Jun 13 '22 at 17:25
Because those two expressions evaluate to different objects. The `is` operator tests for object identity. — juanpa.arrivillaga, Jun 13 '22 at 17:25

score 1 · Accepted Answer · answered Jun 13 '22 at 17:21

1

Use equals method to compare Series data in pandas also you can refer method Here!

import pandas as pd

dt = pd.DataFrame({
'name' : ['o', 'a', 'x'],
'mark' : [7, 4, 10]
})

dt.iloc[1].equals(dt.iloc[1])

Output:

True

answered Jun 13 '22 at 17:21

Bhavya Parikh

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score 1 · Answer 2 · answered Jun 13 '22 at 17:30

dt.iloc[1] creates a Series that is a copy of the original, so you're asking if two different things you create are the same thing, which they are not.

If I do:

x = dt.iloc[1]
print(x is x)

y = dt.iloc[1]
print(x is y)

Output:

True
False

See Bhavya's answer for how to properly compare Series.

is operator with pandas dataframe

2 Answers2