Add columns not in place

#given an original pandas.DataFrame named 'df', and the data series that we want to associate with the new column named 's', 3 possible solutions:

#1-Use "assign()" to create new column and then assign values to it
df_w_new_col = df.assign (name='New_Col')

#2-create an aditional Dataframe with just the new column to add and concatenate with the old dataframe. Like a great majority of pandas methods, this actually creates a new df, it does not just concatenate to the old one so it is safe to change the old and new df's independetly
df = pd.concat( [df, pd.DataFrame({'New_Col:s})], axis=1 )

#3-explicitely create a copy and append a column
df2 = df.copy()
df2['New_Col'] = s

Similar codes

0 vote158 views1 answer
Multiprocessing in jupyter notebook
Python
0 vote148 views1 answer
Python difference between consecutive element in list
Python
-1 vote172 views1 answer
How to code a trading bot in python
Python
3 votes190 views6 answers
2+2
Python
0 vote161 views1 answer
Filtrer les nombres d'une liste
Python
1 vote153 views1 answer
Pandas find median of non zero values in a column
Python
0 vote155 views1 answer
Django collectstatic with auto yes
Python
2 votes115 views2 answers
How to convert input to uppercase in python
Python
1 vote150 views1 answer
Passing user instance django form submission
Python
5 votes162 views5 answers
12 month movinf average in python for dataframe
Python