How to Avoid Python/Pandas Creating an Index in a Saved CSV

How to avoid pandas from adding indexes in dataframes when using CSV files

Use this : df = pd.read_csv("nameOfFile.csv", index_col="nameOfColToUseAsIndex") and put the name of your first column in "nameOfColToUseAsIndex".

Remove index column while saving csv in pandas

What you are seeing is the index column. Just set index=False:

df_csv = df0_fa.to_csv('revenue/data/test.csv',mode = 'w', index=False)

Removing index column in pandas when reading a csv

DataFrames and Series always have an index. Although it displays alongside the column(s), it is not a column, which is why del df['index'] did not work.

If you want to replace the index with simple sequential numbers, use df.reset_index().

To get a sense for why the index is there and how it is used, see e.g. 10 minutes to Pandas.

How to drop the index column while writing the DataFrame in a .csv file in Pandas?

Try,

 df.to_csv('myData.csv',index=False)

Update pandas specific row in file without index

Python default indexing starts from 0.

If you want to update the 2nd row, you should write

data_pd.at[1,'SIDE'] = 'UP'

Your code won't do anything as value for SIDE in the third row whose index is 2 is already UP.

Removing the index when appending data and rewriting CSV using pandas

Did you try

to_csv(index=False)