Use index=False.

Copydf.to_csv('your.csv', index=False)
Answer from Probably rgbkrk on Stack Overflow
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Pandas
pandas.pydata.org › docs › reference › api › pandas.DataFrame.to_csv.html
pandas.DataFrame.to_csv — pandas 3.0.3 documentation
Create ‘out.csv’ containing ‘df’ without indices · >>> df = pd.DataFrame( ... [["Raphael", "red", "sai"], ["Donatello", "purple", "bo staff"]], ... columns=["name", "mask", "weapon"], ... ) >>> df.to_csv("out.csv", index=False) Create ‘out.zip’ containing ‘out.csv’ ·
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Spark By {Examples}
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Export Pandas to CSV without Index & Header - Spark By {Examples}
December 10, 2024 - In order to export Pandas DataFrame to CSV without an index (no row indices) use param index=False and to ignore/remove header use header=False param on
Discussions

Pandas Index Column - is Drop() possible?
As far as I understand your question (I am not sure). Data Frame is a pandas object to do various tasks on tabular data it is not a file. pd.read_csv("filename.csv",index_col=False) means to read data from a CSV file to pandas Data Frame object. Parameter index_col is the index position of the column index to be used as the index of your data i.e 0 - your first column will be set as the index, 1 - your second column of the data will be used as the index etc. False is interpreted by Python as a 0 column going to your index. To perform your task I suggest creating two Data Frames. pd.read_csv and pd.read_excel work around with two Data Frames merge them and then by pd.to_excel save your merged Data Frame as an XLSX file. while saving your file you can set Header=False or Index=False to not have your column or row index appear in your XLSX file. More on reddit.com
🌐 r/learnpython
2
1
October 30, 2022
AttributeError: 'Index' object has no attribute 'to_csv'
Honestly, I’m not sure what a lot of this is doing, but this seems odd to me: TEAM_COMB = df.columns Are you sending a dataframe or just columns to CSV? Just a guess…I’m sure someone with a bit more pandas experience will come along :) More on reddit.com
🌐 r/learnpython
5
0
July 9, 2023
Exporting pandas.to_csv() doesn’t export all rows
If you're looking at that CSV in Excel, note that some versions of Excel itself limits how many rows it can display. If I recall correctly, some versions can only display ~65K rows, which sounds similar to your issue. pandas.to_csv() definitely exports the whole dataframe, so the problem is almost certainly with how you are trying to view the data. Load the CSV back into Pandas and I suspect you'll see all the rows are there. More on reddit.com
🌐 r/Python
5
1
January 13, 2021
Pandas: Losing a column in read_csv when the first row has no value in that column
Does the csv have headers? What read_csv options are you using? Perhaps you can show an example of this happening: import io import pandas as pd csv = io.BytesIO(b""" one,two,three ,2,3 """) File with headers and first value missing, everything stays in the correct position: >>> pd.read_csv(csv) one two three 0 NaN 2 3 More on reddit.com
🌐 r/learnpython
4
0
March 27, 2023
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How do I save a DataFrame to CSV with a different encoding?
Specify the encoding with the `encoding` parameter:\n\n```python\ndf.to_csv('data.csv', encoding='utf-16')\n```
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blog.openreplay.com › openreplay blog › export pandas dataframe to csv: complete guide to to_csv()
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How do I export a DataFrame to a CSV file with German locale settings?
Use `sep=';'` for semicolon separator and `decimal=','` for comma decimal:\n\n```python\ndf.to_csv('data.csv', sep=';', decimal=',', index=False)\n```
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Can I append to an existing CSV file?
Yes, use `mode='a'` to append:\n\n```python\ndf.to_csv('data.csv', mode='a', header=False)\n```\n\nExclude the header to avoid repeating column names.
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How to Convert Pandas to CSV Without Index | Delft Stack
March 11, 2025 - The most straightforward way to convert a Pandas DataFrame to a CSV file without including the index is by using the built-in to_csv() function. This method is not only simple but also very efficient.
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Saturn Cloud
saturncloud.io › blog › how-to-avoid-pythonpandas-creating-an-index-in-a-saved-csv
How to Avoid PythonPandas Creating an Index in a Saved CSV | Saturn Cloud Blog
June 19, 2023 - Therefore, it is often a good idea ... a Pandas DataFrame to a CSV file without the index, you can use the to_csv() method with the index parameter set to False....
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IncludeHelp
includehelp.com › python › how-to-avoid-pandas-creating-an-index-in-a-saved-csv.aspx
Export Pandas DataFrame to CSV without Index and Header
April 18, 2023 - To export Pandas DataFrame to CSV without an index, you can specify the index=False parameter inside the DataFrame.to_csv() method which writes/exports DataFrame to CSV by ignoring the index.
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Statistics Globe
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Write pandas DataFrame to CSV without Index in Python | Save File
May 5, 2022 - For this task, we can apply the to_csv function as shown below. In the first line of the following code, we have to specify the working directory and the file name. Note that you would have to replace the working directory path to your own working ...
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GeeksforGeeks
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How to Remove Index Column While Saving CSV in Pandas - GeeksforGeeks
July 23, 2025 - The iloc method allows integer-based indexing. By using this, we can select specific rows and columns in a Dataframe. Also, by using this, we can do slicing. ... import pandas as pd data = {'A': [1, 2, 3], 'B': [4, 5, 6]} df = pd.DataFrame(data) print(df) df.to_csv('withindex.csv') df1 = pd.read_csv('withindex.csv') df1 = df1.iloc[:, 1:] df1.to_csv('withoutindex.csv', index=False)
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Converting pandas dataframe to csv without index in Python.
November 9, 2024 - Knowing the index parameter in the to_csv() method helps us to get a CSV file without a row index.
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December 21, 2024 - The to_csv() method in Pandas makes it easy to export your data to a comma-separated values (CSV) file with just a few lines of code. In this guide, we’ll walk through how to use to_csv() to save a DataFrame to CSV, covering key parameters ...
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GeeksforGeeks
geeksforgeeks.org › python › read-csv-file-without-unnamed-index-column-in-python
Read CSV File without Unnamed Index Column in Python - GeeksforGeeks
July 23, 2025 - Whenever the user creates the data frame in Pandas, the Unnamed index column is by default added to the data frame. The article aims to demonstrate how to read CSV File without Unnamed Index Column using index_col=0 while reading CSV.
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How to Remove Index Column While Saving CSV in Pandas | Saturn Cloud Blog
August 10, 2023 - By default, pandas saves the index column when you save a DataFrame to a CSV file using the to_csv() method. However, you can remove the index column by passing the index parameter to the method and setting it to False.
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Pandas
pandas.pydata.org › docs › reference › api › pandas.read_csv.html
pandas.read_csv — pandas 3.0.3 documentation - PyData |
Write DataFrame to a comma-separated values (csv) file. ... Read general delimited file into DataFrame. ... Read a table of fixed-width formatted lines into DataFrame. ... Index and header can be specified via the index_col and header arguments.
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5 Best Ways to Remove the Index Column in Pandas DataFrame - Be on the Right Side of Change
February 18, 2024 - You can create a DataFrame without an index by setting the index parameter to None in the DataFrame constructor. This way, the DataFrame is generated without an explicit index, and there will be nothing to remove before exporting or using the data.
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Medium
medium.com › @amit25173 › exporting-a-pandas-dataframe-to-a-csv-file-6b3edd0a78fa
Exporting a Pandas DataFrame to a CSV File | by Amit Yadav | Medium
March 6, 2025 - # Saving the CSV to a specific folder df.to_csv('exports/data.csv') ... Notice the r before the string? It tells Python to treat the path as raw text, avoiding issues with backslashes. ... You might’ve noticed that when you export your DataFrame, it sneakily adds an extra index column. It’s like that uninvited guest who shows up at every party. If you don’t need it, here’s how to show it the door: # Exporting without the index column df.to_csv('data_no_index.csv', index=False)
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Medium
medium.com › @amit25173 › how-to-use-to-csv-step-by-step-guide-94e1f9d81be1
How to Use to_csv() — Step-by-Step Guide | by Amit Yadav | Medium
March 6, 2025 - import pandas as pd # Sample DataFrame df = pd.DataFrame({'Name': ['Alice', 'Bob'], 'Age': [25, 30]}) # Export without index df.to_csv('no_index.csv', index=False)
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DigitalOcean
digitalocean.com › community › tutorials › pandas-to_csv-convert-dataframe-to-csv
Pandas to_csv() - Convert DataFrame to CSV | DigitalOcean
August 3, 2022 - Again the index is not considered as the column of DataFrame object. ... We are using with statement to open the file, it takes care of closing the file when the with statement block execution is finished. This code snippet will create a CSV file with the following data. import pandas as pd d1 = {'Name': ['Pankaj', 'Meghna'], 'ID': [1, pd.NaT], 'Role': [pd.NaT, 'CTO']} df = pd.DataFrame(d1) print('DataFrame:\n', df) csv_data = df.to_csv() print('\nCSV String:\n', csv_data) csv_data = df.to_csv(na_rep="None") print('CSV String with Null Data Representation:\n', csv_data)
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codegive.com › blog › pandas_no_index.php
Pandas No Index: Master DataFrames Without Default Indices (Boost Clarity, Performance & Exports!)
Both scenarios demonstrate using index=False with to_csv() to create a clean CSV output. The first one shows resetting an existing meaningful index back to a column, and then exporting. The second shows a more direct export if your DataFrame already has the desired columns and you just want ...
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Pandas Write csv without Index - YouTube
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Medium
medium.com › @amit25173 › how-to-save-a-dataframe-to-a-csv-file-in-pandas-f57306f3b0f3
How to Save a DataFrame to a CSV File in Pandas? | by Amit Yadav | Medium
March 6, 2025 - The sep=';' argument tells pandas to use a semicolon as the separator instead of a comma. ... This is super useful when you’re working with European data formats or systems that prefer semicolons over commas. ... What if you don’t need the entire DataFrame? Maybe you just want to save a couple of columns. No problem — you can pick and choose what to export. df.to_csv('selected_columns.csv', columns=['Name', 'City'], index=False)