You can use the following methods to print a pandas DataFrame without the index:

Method 1: Use to_string() Function

print(df.to_string(index=False))

Method 2: Create Blank Index Before Printing

df.index=[''] * len(df)

print(df)

Both methods will print the DataFrame without the index.

The following examples show how to use each method with the following pandas DataFrame:

import pandas as pd

#create DataFrame
df = pd.DataFrame({'team': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],
                   'points': [18, 22, 19, 14, 14, 11, 20, 28],
                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],
                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})

#view DataFrame
print(df)

  team  points  assists  rebounds
0    A      18        5        11
1    B      22        7         8
2    C      19        7        10
3    D      14        9         6
4    E      14       12         6
5    F      11        9         5
6    G      20        9         9
7    H      28        4        12

Notice that the DataFrame contains an index with values ranging from 0 to 7.

Example 1: Use to_string() Function

The following code shows how to use the to_string() function to print the DataFrame without the index:

#print DataFrame without index
print(df.to_string(index=False))

team  points  assists  rebounds
   A      18        5        11
   B      22        7         8
   C      19        7        10
   D      14        9         6
   E      14       12         6
   F      11        9         5
   G      20        9         9
   H      28        4        12

Notice that all four columns are printed without the index column.

Example 2: Create Blank Index Before Printing

The following code shows how to first create an index column with all blank values and then print the DataFrame:

#define index to have all blank values
df.index=[''] * len(df)

#print DataFrame
print(df)

 team  points  assists  rebounds
    A      18        5        11
    B      22        7         8
    C      19        7        10
    D      14        9         6
    E      14       12         6
    F      11        9         5
    G      20        9         9
    H      28        4        12

Notice that all four columns are printed without the index column.

The following tutorials explain how to perform other common tasks in pandas: