[python] Removing header column from pandas dataframe

I have the foll. dataframe:

df

   A   B
0  23  12
1  21  44
2  98  21

How do I remove the column names A and B from this dataframe? One way might be to write it into a csv file and then read it in specifying header=None. is there a way to do that without writing out to csv and re-reading?

How to get rid of a header(first row) and an index(first column).

To write to CSV file:

df = pandas.DataFrame(your_array)
df.to_csv('your_array.csv', header=False, index=False)

To read from CSV file:

df = pandas.read_csv('your_array.csv')
a = df.values

If you want to read a CSV file that doesn't contain a header, pass additional parameter header:

df = pandas.read_csv('your_array.csv', header=None)

Haven't seen this solution yet so here's how I did it without using read_csv:

df.rename(columns={'A':'','B':''})

If you rename all your column names to empty strings your table will return without a header.

And if you have a lot of columns in your table you can just create a dictionary first instead of renaming manually:

df_dict = dict.fromkeys(df.columns, '')
df.rename(columns = df_dict)

I had the same problem but solved it in this way:

df = pd.read_csv('your-array.csv', skiprows=[0])