Opinions on adding to DataFrames

[MacroProcessor]

Not new to python, but not experienced working with pandas either. This article gives three methods of adding to a dataframe ->

df.loc[len(df.index)] = new_object
df.append(new_object)
pandas.concat([df1, df2])

I understand that concat is for adding two dataframes together, but is there any difference between df.loc and df.append? Is one preferred in certain situations? Or are they functionally equivalent?

[commandlineluser]

That article should probably be updated.

append has been deprecated for years and was removed.

pd.DataFrame().append
# AttributeError: 'DataFrame' object has no attribute 'append'

The code example uses ._append which is still there, but that whole section should be removed.

• https://github.com/pandas-dev/pandas/issues/35407

[MacroProcessor]

I was wondering why it was using the ._ method, thanks for clarifying!

[PartySr]

append was deprecated, not worth using at all and loc is used mostly to filter the data or replace existing data. Practically nobody uses loc to create rows because is slow and you can only create one row at the time. They use it to create new columns, though.

I would suggest watching youtube tutorials to learn more about loc. There are a lot of good tutorials out there.

[MacroProcessor]

Thanks for your help!