1. Selected Columns. df = pd.read_excel(file_location,sheet_name='Sheet1', usecols="A,C,F") 2. Range of Columns and selected column. df = pd.read_excel(file_location,sheet_name='Sheet1', usecols="A:F,H") 3. Multiple Ranges. df = pd.read_excel(file_location,sheet_name='Sheet1', usecols="A:F,H,J:N") 4. Range of columns

Jan 7, 2023 · You can use the following methods to read specific columns from an Excel file into a pandas DataFrame: Method 1: Read Specific Columns. Method 2: Read a Range of Columns. Method 3: Read Multiple Ranges of Columns. The following examples show how to use each method in practice with the following Excel file called player_data.xlsx:

Dec 18, 2023 · To read specific columns from an Excel file in Pandas, you have the flexibility to use either column indices or letters. This is achieved by setting the usecols argument, which can take a comma-separated string or a list containing column identifying letters or indices.

column_a_values = read_column(worksheet, 2, 'A') To return column A and column B, the call changes to this: column_ab_values = read_column(worksheet, 2, 'AB')

Oct 25, 2019 · By far the easiest way to get all the values in a column using xlrd is the col_values() worksheet method: x = [] for value in sheet.col_values(8): if isinstance(value, float): x.append(value)

Sep 12, 2024 · To read an Excel file and extract values of a specific column in Python, we can use the pandas library. Here’s an example: In this example, we first import the pandas library. Then, we use the read_excel() function to read the Excel file named ‘data.xlsx’.

Nov 24, 2024 · Discover effective methods to efficiently read specific columns from an Excel file using Pandas in Python.

Nov 24, 2024 · Learn how to extract specific column values from Excel files with Python using pandas and xlrd. Two practical coding examples included.

Oct 23, 2024 · In this tutorial, we will explore how to read data from a specific column in an Excel file using Python. We will utilize the popular library pandas, which provides powerful data manipulation capabilities. Before we begin, ensure you have the following: Python installed on your machine (preferably version 3.6 or higher).

Mar 19, 2025 · Image by Editor | Midjourney. If you work with Excel files in Python, you might be familiar with using pandas’ read_excel() and to_excel() functions. What you might not know is that behind the scenes, pandas is often using openpyxl to handle these Excel operations. In this article, we’ll explore when and why you might want to use openpyxl directly, and understand its relationship with pandas.