How to avoid pandas creating an index in a saved csv

user_3137488 0
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I am trying to save a csv to a folder after making some edits to the file.

Every time I use pd.to_csv('C:/Path of file.csv') the csv file has a separate column of indexes. I want to avoid printing the index to csv.

I tried: 

pd.read_csv('C:/Path to file to edit.csv', index_col = False)

And to save the file...

pd.to_csv('C:/Path to save edited file.csv', index_col = False)

However, I still got the unwanted index column. How can I avoid this when I save my files?

pandas csv indexing python
6 Answers

If you want no index, read file using:

import pandas as pd
df = pd.read_csv('file.csv', index_col=0)

save it using 

df.to_csv('file.csv', index=False)
user_110985990

As others have stated, if you don't want to save the index column in the first place, you can use df.to_csv('processed.csv', index=False)

However, since the data you will usually use, have some sort of index themselves, let's say a 'timestamp' column, I would keep the index and load the data using it.

So, to save the indexed data, first set their index and then save the DataFrame:

df.set_index('timestamp')
df.to_csv('processed.csv')

Afterwards, you can either read the data with the index:

pd.read_csv('processed.csv', index_col='timestamp')

or read the data, and then set the index:

pd.read_csv('filename.csv')
pd.set_index('column_name')
user_38212870

If you want a good format next statement is the best:

dataframe_prediction.to_csv('filename.csv', sep=',', encoding='utf-8', index=False)

In this case you have got a csv file with ',' as separate between columns and utf-8 format. In addition, numerical index won't appear.

user_106430440
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