How to Add an Empty Row to a Dataframe in Python

September 30, 2024

To add an empty row to a dataframe in Python, you can use the loc[] function.

The following example shows how to add an empty row to a dataframe in Python using the loc[] function.

Using loc[] Function

We can use the loc[] function to add an empty row to a dataframe.

Suppose we have the following dataframe:

# Import pandas library
import pandas as pd

# Define dataframe
df = pd.DataFrame({
    'Date': ['01-03-2023', '01-03-2023', '01-03-2023', '01-03-2023', '02-03-2023', '02-03-2023'],
    'Product_Code': ['A-101', 'A-102', 'A-103', 'B-101', 'B-102', 'B-104'],
    'Product_Name': ['Laptop', 'Mobile', 'Printer', 'Keyboard', 'Scanner', 'Mouse'],
    'Price': [4500, 550, 250, 50, 350, 50],
    'Status': [1, 1, 1, 0, 1, 1]
})

# Add empty row to dataframe
df.loc[len(df)] = ''

# Show updated dataframe
print(df)

Output: 👇️

         Date Product_Code Product_Name Price Status
0  01-03-2023        A-101       Laptop  4500      1
1  01-03-2023        A-102       Mobile   550      1
2  01-03-2023        A-103      Printer   250      1
3  01-03-2023        B-101     Keyboard    50      0
4  02-03-2023        B-102      Scanner   350      1
5  02-03-2023        B-104        Mouse    50      1
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In this example, we use the loc[] function to add an empty row to the dataframe.