How to avoid Python/Pandas creating an index in a saved csv?
PythonCsvIndexingPandasPython Problem Overview
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?
Python Solutions
Solution 1 - Python
Use index=False.
df.to_csv('your.csv', index=False)
Solution 2 - Python
There are two ways to handle the situation where we do not want the index to be stored in csv file.
-
As others have stated you can use index=False while saving your
dataframe to csv file.>
df.to_csv('file_name.csv',index=False) -
Or you can save your dataframe as it is with an index, and while reading you just drop the column unnamed 0 containing your previous index.Simple! >
df.to_csv(' file_name.csv ')
df_new = pd.read_csv('file_name.csv').drop(['unnamed 0'],axis=1)
Solution 3 - Python
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)
Solution 4 - Python
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')
Solution 5 - Python
Another solution if you want to keep this column as index.
pd.read_csv('filename.csv', index_col='Unnamed: 0')
Solution 6 - Python
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.