How do you remove the column name row when exporting a pandas DataFrame?

Question

Say I import the following Excel spreadsheet into a dataframe:

Val1 Val2 Val3 1     2    3  5     6    7  9     1    2 

How do I delete the column name row (in this case Val1, Val2, Val3) so that I can export a csv with no column names, just the data?

I have tried df.drop() and df.ix[1:] and have not been successful with either.

Answer 1

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) 

Answer 2

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.