Python Pandas: 'read_table' with no header; adding column headers but they shift

Question

I want to add a column name for each column but when I ran the code it shifted my column heading over two columns and added a two columns of NaN. What is causing this and is there a correction?

Another question; how do you pull a particular column with no columns names? I was trying df[0] (1,2, etc) but I receive an error.

df = pd.read_table('numcyc.dat', header=None, names = df_cols)
print(df)

                        place  loc  time
0          3      111.1    44  NaN   NaN
1          3      111.1    34  NaN   NaN
2          4      111.1    23  NaN   NaN
3          2      111.1    16  NaN   NaN

Answer 1

I want to add a column name for each column but when I ran the code it shifted my column heading over two columns and added a two columns of NaN. What is causing this and is there a correction?

Another question; how do you pull a particular column with no columns names? I was trying df[0] (1,2, etc) but I receive an error.

df = pd.read_table('numcyc.dat', header=None, names = df_cols)
print(df)

                        place  loc  time
0          3      111.1    44  NaN   NaN
1          3      111.1    34  NaN   NaN
2          4      111.1    23  NaN   NaN
3          2      111.1    16  NaN   NaN