>>> 3 > 2 == True
False #say what?
>>> (3 > 2) == True
True
>>> 3 > (2 == True)
True
>>> 3 > 1 == True
True
>>> 3 > False
True
What is Python doing in its godforsaken hidden logics that makes that first statement False
, while the rest are True
?
Definition and Usage. The duplicated() method returns a Series with True and False values that describe which rows in the DataFrame are duplicated and not. Use the subset parameter to specify if any columns should not be considered when looking for duplicates.
For this, we will use the count() method. The count() method, when invoked on a list, takes the element as input argument and returns the number of times the element is present in the list. For checking if the list contains duplicate elements, we will count the frequency of each element.
A set is an unordered collection of items. Every set element is unique (no duplicates) and must be immutable (cannot be changed).
Tuple is a collection which is ordered and unchangeable. Allows duplicate members.
This is a chained comparison (see here in the docs), the same way that
>>> 1 < 2 < 3
True
is
>>> (1 < 2) and (2 < 3)
True
In this case, we have
>>> 3 > 2 == True
False
because
>>> (3 > 2) and (2 == True)
False
because
>>> (3 > 2), (2 == True)
(True, False)
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