/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 vote120 views4 answers
Python print string
Python
3 votes138 views1 answer
Converting a csv into python list
Python
0 vote122 views1 answer
Youtube upload python
Python
0 vote128 views1 answer
How to Set Axis Range (xlim, ylim) in Matplotlib
Python
0 vote128 views1 answer
Print numbers from 1 to 100 in python
Python
4 votes126 views2 answers
How to reinstall a python package
Python
0 vote133 views1 answer
Pandas description of dataframe
Python
-2 votes119 views1 answer
Youtube dl python
Python
0 vote150 views1 answer
KeyError: "'__name__' not in globals" django
Python Django
14 votes142 views6 answers
Python print variable
Python