/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

7 votes176 views1 answer
Health definition
Python
59 votes173 views6 answers
How to clear console python
Python
0 vote184 views1 answer
How to make a window in pyga,e
Python
22 votes187 views4 answers
ModuleNotFoundError: No module named 'sklearn.cross_validation'
Python
0 vote171 views1 answer
Seaborn modificar o tamanho dos graficos
Python
0 vote182 views1 answer
Break
Python
34 votes171 views6 answers
Name columns pandas
Python
1 vote190 views1 answer
Python remove n random elements from a list
Python
0 vote180 views1 answer
How to add to end of linked list python
Python
0 vote163 views1 answer
Add key if not exists python
Python