/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 vote371 views1 answer
How to run same function on multiple threads in pyhton
Python
1 vote412 views1 answer
Pyubx
Python
3 votes293 views1 answer
Torch view
Python
0 vote361 views1 answer
Tensorflow Dense layer activatity leaklyrelu
Python
0 vote338 views1 answer
Pandas continues update csv with exception
Python
0 vote341 views2 answers
Save strings with numpy savetext
Python
2 votes337 views1 answer
Pandas convert string from INT TO str
Python
1 vote381 views1 answer
Number of column in dataset pandas
Python
0 vote334 views1 answer
How to get checkbutton from a list
Python
0 vote362 views1 answer
Logarithmic scale fitting python
Python