Initialize dataframe without column name

  pandas, python

I have data that looks like this.

             state sex salary
jordan        CA    m    100
lebron        NY    m    200

There are 4 columns however the first one does not have a column name. The other 3 columns are state , sex, salary`. How do i initialize a data frame withe the above data?

I tried the following.

import pandas as pd
data = [['jordan','CA','m',100], ['lebron','NY','m',200]]
df = pd.DataFrame(data, columns = ['','state','sex','Age'])  

When i do df.columns I see

Index(['', 'state', 'sex', 'Age'], dtype='object')

However I expect to see Index(['state', 'sex', 'Age'], dtype='object') when i do df.columns

So i am wondering how can i initialize the dataframe such that the column that has the names jordan and lebron is not actually a column.

Source: Python Questions