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

Solution 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)

Solution 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.

Solution 3:

If you pass header=False, you will get this error

TypeError: Passing a bool to header is invalid. Use header=None 
for no header or header=int or list-like of ints to specify the 
row(s) making up the column names

Instead, use header=None