How to find the number of rows in an Excel worksheet using Python and Pandas

Finding the number of rows in an Excel worksheet using pandas is a simple task that can be accomplished in just a few lines of code.

To start, you will need to have pandas installed. If you don’t already have it installed, you can install it using pip:

pip install pandas

Once pandas is installed, you can import it and use it to load an Excel file. For example:

import pandas as pd

# Load the Excel file
df = pd.read_excel("file.xlsx", sheet_name="Sheet1")

This will load the first sheet in the Excel file into a pandas DataFrame object.

To find the number of rows in the DataFrame, you can use the shape attribute. This attribute returns a tuple containing the number of rows and columns in the DataFrame. The first element of the tuple, df.shape[0], represents the number of rows.

For example:

# Get the number of rows
num_rows = df.shape[0]

print(num_rows)

This will print the number of rows in the DataFrame to the console.

Alternatively, you can use the len function to get the number of rows:

num_rows = len(df)

This will also give you the number of rows in the DataFrame.

That’s all there is to it! With just a few lines of code, you can easily find the number of rows in an Excel worksheet using pandas.