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Its been a couple of days since I started learning python, at which point I stumbled across the == and is. Coming from a java background I assumed == does a comparison by object id and is by value, however doing
>>> a = (1,2)
>>> b = (1,2)
>>> a is b
False
>>> a == b
True
Seems like is is equivalent of java's == and python's == is equivalent to java's equals(). Is this the right way to think about the difference between is and ==? Or is there a caveat?
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duplicated() function indicate duplicate Series values. The duplicated values are indicated as True values in the resulting Series. Either all duplicates, all except the first or all except the last occurrence of duplicates can be indicated. Example #1: Use Series.
Pandas DataFrame duplicated() MethodThe 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.
To find duplicates on a specific column, we can simply call duplicated() method on the column. The result is a boolean Series with the value True denoting duplicate. In other words, the value True means the entry is identical to a previous one.
See also
Why does comparing strings in Python using either '==' or 'is' sometimes produce a different result?
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