is there any difference df=DF.copy() and df=DF

Asked May 31 '19 at 17:55

Active May 31 '19 at 18:33

Viewed 719 times

i want copy DataFrame to another

there is 2 method to copy DataFrame to another which method is good and sad

label=train.copy()

label=train

edited May 31 '19 at 18:33

asked May 31 '19 at 17:55

GursimranSe

3

`copy()` gives you a copy with different memory allocation. `label = train` only gives you an alias, that is, same memory, and if you change `label`, say `label.iloc[0] = 0`, you change `train` as well. – Quang Hoang May 31 '19 at 17:59
1

Yes. The first copy data to a new memory location. The second just creates a new pointer to the same object in its current memory. – Scott Boston May 31 '19 at 18:01
3

Possible duplicate of [What exactly is the difference between shallow copy, deepcopy and normal assignment operation?](https://stackoverflow.com/questions/17246693/what-exactly-is-the-difference-between-shallow-copy-deepcopy-and-normal-assignm) – juanpa.arrivillaga May 31 '19 at 18:33
1

Note: it is better to think of python names as acting as keys in various symbol tables, 'namespaces', which are often implemented as literal `dict` objects, and assignment as moving various pointers around various symbol tables. – juanpa.arrivillaga May 31 '19 at 18:36
TL:DR `label=train` does *not* copy at all, whereas `.copy` does. – juanpa.arrivillaga May 31 '19 at 18:37

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