/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 vote173 views1 answer
Named tuple python iterate
Python
4 votes179 views3 answers
Generate random list of number py
Python
0 vote209 views1 answer
Flask google analytics
Python Flask
1 vote185 views1 answer
Split a path into all subpaths
Python
11 votes184 views2 answers
Find data in sheet pandas
Python
1 vote228 views1 answer
Django get form id from request
Python Django
0 vote240 views1 answer
How do you say not equal to python
Python
2 votes202 views1 answer
Get n random numbers from x to y python
Python
1 vote197 views2 answers
Polymorphism in python
Python
0 vote252 views1 answer
AttributeError: 'QuerySet' object has no attribute django
Python Django