How to display Pandas Dataframe in Python without Index?

In Pandas, DataFrames display with an index by default. You can hide the index when displaying using to_string(index=False) or when printing to console using various methods.

Creating a Sample DataFrame

Let's start by creating a DataFrame with custom index and column labels ?

import pandas as pd

# Create DataFrame with custom index
dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35]], 
                        index=['x', 'y', 'z'], 
                        columns=['a', 'b'])

print("DataFrame with default index display:")
print(dataFrame)

DataFrame with default index display:
    a   b
x  10  15
y  20  25
z  30  35

Method 1: Using to_string(index=False)

The to_string() method converts the DataFrame to a string format without the index ?

import pandas as pd

dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35]], 
                        index=['x', 'y', 'z'], 
                        columns=['a', 'b'])

print("DataFrame without index:")
print(dataFrame.to_string(index=False))

DataFrame without index:
 a   b
10  15
20  25
30  35

Method 2: Using print() with to_string()

You can also access specific rows and display them without index ?

import pandas as pd

dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35]], 
                        index=['x', 'y', 'z'], 
                        columns=['a', 'b'])

# Select a specific row
print("Selected row 'x':")
print(dataFrame.loc['x'])

print("\nAll data without index:")
print(dataFrame.to_string(index=False))

Selected row 'x':
a    10
b    15
Name: x, dtype: int64

All data without index:
 a   b
10  15
20  25
30  35

Method 3: Setting Display Options

For temporary display without index across your session, modify pandas display options ?

import pandas as pd

dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35]], 
                        index=['x', 'y', 'z'], 
                        columns=['a', 'b'])

# Temporarily hide index for this display
with pd.option_context('display.show_dimensions', False):
    print("Using option context:")
    print(dataFrame.to_string(index=False))

Using option context:
 a   b
10  15
20  25
30  35

Comparison

Conclusion

Use to_string(index=False) for displaying DataFrames without index. This method is most commonly used for clean output presentation while keeping the original DataFrame structure intact.