Python

Search

python copy vs deepcopy

For immutable objects, there is no need for copying because 
the data will never change, so Python uses the same data; 
ids are always the same. For mutable objects, 
since they can potentially change, [shallow] copy creates a new object.

Deep copy is related to nested structures. 
If you have list of lists, then deepcopy copies the nested lists also, 
so it is a recursive copy. With just copy, you have a new outer list, 
but inner lists are references.

Assignment (=) does not copy. It simply sets the reference to the old data. 
So you need copy to create a new list with the same contents.

Comment

PREVIOUS	NEXT

Code Example
Python :: drop columns
Python :: assert python 3
Python :: array sort in python
Python :: how to return the sum of two numbers python
Python :: função map python
Python :: python image heatmap
Python :: subarrays in python
Python :: dfs algorithm python
Python :: how to create list in python
Python :: python string after character
Python :: python eval
Python :: np diag
Python :: master python
Python :: python pandas merge dataframe
Python :: string length python
Python :: tuples vs list
Python :: how to add number in tuple
Python :: help() python
Python :: python range
Python :: enum
Python :: get center position of countries geopandas
Python :: Python String index()
Python :: import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1
Python :: check if string has square brackets python
Python :: Spatial Reference arcpy
Python :: django query multiple
Python :: Add dj_database_url on heroku or production
Python :: indexers in python
Python :: django compile database
Python :: print is not working in python

Search

PYTHON

python copy vs deepcopy

ADD CONTENT