You can write to csv without the header using header=False and without the index using index=False. If desired, you also can modify the separator using sep.
CSV example with no header row, omitting the header row:
df.to_csv('filename.csv', header=False)
TSV (tab-separated) example, omitting the index column:
df.to_csv('filename.tsv', sep='\t', index=False)
Top answer 1 of 3
237
You can write to csv without the header using header=False and without the index using index=False. If desired, you also can modify the separator using sep.
CSV example with no header row, omitting the header row:
df.to_csv('filename.csv', header=False)
TSV (tab-separated) example, omitting the index column:
df.to_csv('filename.tsv', sep='\t', index=False)
2 of 3
38
Figured out a way to do this:
df.to_csv('filename.csv', header = False)
This tells pandas to write a csv file without the header. You can do the same with df.to_excel.
Pandas
pandas.pydata.org › docs › reference › api › pandas.DataFrame.to_csv.html
pandas.DataFrame.to_csv — pandas 3.0.3 documentation
DataFrame.to_csv(path_or_buf=None, *, sep=',', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, mode='w', encoding=None, compression='infer', quoting=None, quotechar='"', lineterminator=None, chunksize=None, date_format=None, doublequote=True, escapechar=None, decimal='.', errors='strict', storage_options=None)[source]#
Pandas Header Column header not working
names: array-like, optional List of column names to use. If the file contains a header row, then you should explicitly pass header=0 to override the column names. Duplicates in this list are not allowed. names=Columns1, header=None More on reddit.com
6
1
March 30, 2022DataFrame.to_csv bug: headers mis-aligned
pandas version: 0.4.0 from pypi The problem is that there is no header for the index column: In [1]: import pandas In [2]: d = pandas.DataFrame(randn(3, 2), range(3), ['a', 'b']) In [3]: d.to_csv('... More on github.com
4
September 15, 2011Import CSV that has no headers and export specific columns
I don't know why you'd avoid giving them the right column names to begin with and save yourself a bunch of work here. :)
Import-Csv C:\CSV.csv -Headers A, B, StudentID, Lastname, FirstName, F, G, H, I, Balance, K, Paid, Status, N, O, P |
Select-Object -Property StudentID, Lastname, Firstname, Balance, Paid, Status |
Export-Csv -Path C:\Test.csv -NoTypeInformation -Append
That last property of yours is erroring out because you're not giving it the value, instead you're taking $Status and attempting to Select further properties from it that it doesn't have to give you.
6
4
November 28, 2018pandas to_csv appending at end of existing row rather than new row
Do you use the "mode" parameter with the to_csv method to indicate you want to append to the file? df.to_csv('filename.csv', mode='a', header=False) More on reddit.com
5
1
July 9, 2021Statology
statology.org › home › pandas: export data to csv file with no header
Pandas: Export Data to CSV File with No Header
January 18, 2023 - To export the DataFrame to a CSV file without the header, we must specify header=None:
Spark By {Examples}
sparkbyexamples.com › home › pandas › export pandas to csv without index & header
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
GeeksforGeeks
geeksforgeeks.org › pandas › saving-a-pandas-dataframe-as-a-csv
Saving a Pandas Dataframe as a CSV - GeeksforGeeks
import pandas as pd nme = ["Aparna", "Pankaj", "Sudhir", "Geeku"] deg = ["MBA", "BCA", "M.Tech", "MBA"] scr = [90, 40, 80, 98] data = {'Name': nme, 'Degree': deg, 'Score': scr} df = pd.DataFrame(data) df · Output: Output · Here, we simply export a Dataframe to a CSV file using df.to_csv(). Python · df.to_csv('file1.csv') Here, we are saving the file with no header and no index number.
Published January 13, 2026
DataCamp
datacamp.com › tutorial › save-as-csv-pandas-dataframe
How to Save a Pandas DataFrame to CSV | DataCamp
June 26, 2024 - In Python, you can export a DataFrame as a CSV file using Pandas’ .to_csv() method.
Reddit
reddit.com › r/learnpython › pandas header column header not working
r/learnpython on Reddit: Pandas Header Column header not working
March 30, 2022 -
I am working on a project using Pandas where I am adding a header to the top of a list of csv files, but it looks like I am losing the top row of the csv using Pandas' .to_csv command using a list of headers.
All of the examples I found suggest that I shouldn't be losing this code. Is there another method I should use, or is there another way I should create the header without losing the first row?
Here is the code that I have so far:
Columns1=['UID',"Team Name"]
df2001teams=pd.read_csv(NCAA File/2001teams.txt')
df2002teams=pd.read_csv(NCAA File/2002teams.txt')
df2003teams=pd.read_csv(NCAA File/2003teams.txt')
df2004teams=pd.read_csv(NCAA File/2004teams.txt')
df2005teams=pd.read_csv(NCAA File/2005teams.txt')
df2006teams=pd.read_csv(NCAA File/2006teams.txt')
df2007teams=pd.read_csv(NCAA File/2007teams.txt')
df2008teams=pd.read_csv(NCAA File/2008teams.txt')
df2009teams=pd.read_csv(NCAA File/2009teams.txt')
df2010teams=pd.read_csv(NCAA File/2010teams.txt')
df2011teams=pd.read_csv(NCAA File/2011teams.txt')
df2012teams=pd.read_csv(NCAA File/2012teams.txt')
df2013teams=pd.read_csv(NCAA File/2013teams.txt')
df2014teams=pd.read_csv(NCAA File/2014teams.txt')
df2015teams=pd.read_csv(NCAA File/2015teams.txt')
df2016teams=pd.read_csv(NCAA File/2016teams.txt')
df2017teams=pd.read_csv(NCAA File/2017teams.txt')
df2018teams=pd.read_csv(NCAA File/2018teams.txt')
df2019teams=pd.read_csv(NCAA File/2019teams.txt')
df2021teams=pd.read_csv(NCAA File/2021teams.txt')
DF_teams=[df2001teams, df2002teams, df2003teams, df2004teams, df2005teams, df2006teams, df2007teams, df2008teams,
df2009teams, df2010teams, df2011teams, df2012teams, df2013teams, df2014teams, df2015teams, df2016teams,
df2017teams, df2018teams, df2019teams, df2021teams]
Years=[]
for i in range(2001,2022):
if i==2020:
pass
else:
Years.append(i)
for k in range(len(DF_teams)):
DF_teams[k]=DF_teams[k].to_csv(str(Years[k])+" "+ "NCAA
teams.csv",header=Columns1,index=False)Any help would be greatly appreciated. Thank you!
Top answer 1 of 2
1
names: array-like, optional List of column names to use. If the file contains a header row, then you should explicitly pass header=0 to override the column names. Duplicates in this list are not allowed. names=Columns1, header=None
2 of 2
1
Does the source file have headers in them? if no then you are losing the first record because by default Pandas will take row 1 as the headers of the data frame when reading a csv. Also, if all you need is to read it in then write it out you can do it all in your range loop. Since we assign the headers to the df at read, we do not need to do anything special to write them when we use to_csv. Columns1=['UID',"Team Name"] for i in range(2001,2022): if i==2020: pass else: df = pd.read_csv(f'NCAA File/{i}teams.txt', names=Columns1) df.to_csv(f'{i} NCAA teams.csv', index=False)
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 index and header, you can specify both parameters index=False and header=False inside the DataFrame.to_csv() method which writes/exports DataFrame to CSV by ignoring the index and header.
Medium
medium.com › @amit25173 › pandas-use-first-row-as-header-733b793de6ea
Pandas Use First Row as Header. The biggest lie in data science? That… | by Amit Yadav | Medium
April 12, 2025 - What if my CSV file doesn’t have headers? You can read the CSV using header=None, and pandas will generate default headers. How do I rename the columns after loading my DataFrame?
GitHub
github.com › pandas-dev › pandas › issues › 143
DataFrame.to_csv bug: headers mis-aligned · Issue #143 · pandas-dev/pandas
September 15, 2011 - The problem is that there is no header for the index column: In [1]: import pandas · In [2]: d = pandas.DataFrame(randn(3, 2), range(3), ['a', 'b']) In [3]: d.to_csv('tmp.csv') In [4]: cat tmp.csv a,b 0,-0.244543341458,-1.50542482731 1,-1.02524916375,0.279887233706 2,0.0657877607121,-0.786951623121 ·
Author pandas-dev
Pandas
pandas.pydata.org › pandas-docs › version › 0.25 › reference › api › pandas.DataFrame.to_csv.html
pandas.DataFrame.to_csv — pandas 0.25.3 documentation
Pandas arrays · Panel · Index objects · Date offsets · Frequencies · Window · GroupBy · Resampling · Style · Plotting · General utility functions · Extensions · Development · Release Notes · Enter search terms or a module, class or function name. DataFrame.to_csv(self, path_or_buf=None, sep=', ', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, mode='w', encoding=None, compression='infer', quoting=None, quotechar='"', line_terminator=None, chunksize=None, date_format=None, doublequote=True, escapechar=None, decimal='.')[source]¶ ·
DigitalOcean
digitalocean.com › community › tutorials › pandas-to_csv-convert-dataframe-to-csv
Pandas to_csv() - Convert DataFrame to CSV | DigitalOcean
August 3, 2022 - Pandas DataFrame to_csv() function converts DataFrame into CSV data. We can pass a file object to write the CSV data into a file. Otherwise, the CSV data is returned in the string format. ... def to_csv( self, path_or_buf=None, sep=",", na_rep="", float_format=None, columns=None, header=True, ...
Pandas
pandas.pydata.org › docs › dev › reference › api › pandas.DataFrame.to_csv.html
pandas.DataFrame.to_csv — pandas documentation
Write object to a comma-separated values (csv) file. By default, the resulting file includes row index and column headers. Supports customization of delimiter, encoding, compression, and more. The output can be written to a file path, file-like buffer, or returned as a string. ... String, path object (implementing os.PathLike[str]), or file-like object implementing a write() function. If None, the result is returned as a string.
Top answer 1 of 5
1
Use this logic, if header is present but you don't want to read.Using only header option, will either make header as data or one of the data as header. So, better to use it with skiprows, this will create default header (1,2,3,4..) and remove the actual header of file.dfE_NoH = pd.read_csv('example.csv',header = 1) 42JasonMiller25,0004052MollyJacobson94,00024136Tina.5731224JakeMilner62.dfE_NoH = pd.read_csv('example.csv',header = None)012340agefirst_namelast_namepostTestScorepreTestScore142JasonMiller25,0004252MollyJacobson94,00024336Tina.5731df = pd.read_csv('example.csv', skiprows = 1,header = None) 01234042JasonMiller25,0004152MollyJacobson94,00024236Tina.5731324JakeMilner62.
2 of 5
0
You can set the header option to None to ignore header.file = pd.read_csv('Diabetes.csv', header=1)
GeeksforGeeks
geeksforgeeks.org › how-to-remove-index-column-while-saving-csv-in-pandas
How to Remove Index Column While Saving CSV in Pandas - GeeksforGeeks
April 28, 2025 - To save a DataFrame in Pandas without header, we just need to set the header to false. We'll also use the to_csv method to save these changes in the saved CSV file.
Saturn Cloud
saturncloud.io › blog › how-to-prevent-pandas-readcsv-from-treating-the-first-row-as-header-of-column-names
How to Prevent Pandas readcsv from Treating the First Row as Header of Column Names | Saturn Cloud Blog
June 19, 2023 - The most common reason is that your CSV file may not contain a header row, or the header row may be incomplete or incorrect. In such cases, pandas read_csv will try to use the first row as the header, which can lead to errors or incorrect data ...
Pandas
pandas.pydata.org › pandas-docs › stable › generated › pandas.DataFrame.to_csv.html
pandas.DataFrame.to_csv — pandas 2.3.3 documentation
The page has been moved to this page
TutorialsPoint
tutorialspoint.com › python-read-csv-file-with-pandas-without-header
Python - Read csv file with Pandas without header?
August 26, 2023 - To read a CSV file without headers in Pandas, use the header=None parameter in the read_csv() method.
Towards Data Science
towardsdatascience.com › home › latest › efficiently iterating over rows in a pandas dataframe
How to read CSV File into Python using Pandas
January 27, 2025 - Why is it bad? Because DataFrames are not designed for this purpose. As with the previous method, rows are converted into Pandas Series objects, which degrades performance.
Statistics Globe
statisticsglobe.com › home › python programming language for statistics & data science › write pandas dataframe to csv file with & without header in python (2 examples)
Write pandas DataFrame to CSV File with & without Header in Python
May 5, 2022 - For this, we have to specify the header argument within the to_csv function as shown in the following Python syntax: data.to_csv('data_no_header.csv', # Export pandas DataFrame as CSV header = False)