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, represents the number of rows.
# Get the number of rows num_rows = df.shape 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.