/Python/Python add columns to dataframe without changing the original

Python add columns to dataframe without changing the original

#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 vote170 views1 answer
Modules django
Python Django
0 vote189 views1 answer
Jupyter upload folder
Python
7 votes149 views3 answers
Opencv2 python show
Python
1 vote171 views2 answers
Define symmetry
Python
0 vote181 views1 answer
Django request.data example
Python Django
8 votes149 views3 answers
Convert dataframe to json
Python
0 vote129 views1 answer
Copy dataframe columns names
Python
0 vote166 views1 answer
Create jwt token in django
Python Django
0 vote135 views1 answer
Float division in python
Python
1 vote177 views1 answer
Import status in django rest framework
Python Django