Remove Row Index dataframe pandas

Question

Given a df

in[0]df1
out[0]
        DATE    REVENUE    COST    POSITION
FACTOR
0    2017/01/01    1000    900    10
1    2017/01/01    900     700    9
2    2         


        

Answer 1

Try using:

df1.reset_index(drop=True)

This resets the index to the default integer index and removes the original one. If you want to assign this change to original dataframe it is easier to use:

df1.reset_index(drop=True, inplace=True)

As it will edit the df1 dataframe without making a copy of it.

Answer 2

I hope this works :)

df.reset_index(inplace=True) # Resets the index, makes factor a column
df.drop("Factor",axis=1,inplace=True) # drop factor from axis 1 and make changes permanent by inplace=True

Answer 3

FACTOR is the name of the index - you shouldn't worry about it - it doesn't affect your data:

In [78]: df
Out[78]:
              DATE  REVENUE  COST  POSITION
FACTOR
10      2017/01/01     1000   900        10
11      2017/01/01      900   700         9
12      2017/01/01     1100   800         7

In [79]: df.index.name
Out[79]: 'FACTOR'

If you want to rename it or to get rid of it (preserving the index values) you can use DataFrame.rename_axis() method:

In [80]: df = df.rename_axis(None)

In [81]: df
Out[81]:
          DATE  REVENUE  COST  POSITION
10  2017/01/01     1000   900        10
11  2017/01/01      900   700         9
12  2017/01/01     1100   800         7

In [82]: df.index.name is None
Out[82]: True