To read a specified range from an Excel spreadsheet and convert it to an array in Python, you can use the pandas library. pandas is a popular library for data analysis and manipulation, and it provides easy-to-use functions for reading data from Excel files.

Here is an example of how you could read a specified range (e.g., “A1:C3”) from an Excel file named “data.xlsx” and convert it to an array:

import pandas as pd
 Read the specified range from the Excel file
 df = pd.read_excel("data.xlsx", sheet_name="Sheet1", usecols="A:C", skiprows=0, nrows=3)
 Convert the data to an array
 array = df.values

In this example, pd.read_excel is used to read the data from the Excel file. The sheet_name parameter specifies the name of the sheet to read from. The usecols parameter specifies the columns to read (in this case, columns “A” to “C”). The skiprows parameter specifies the number of rows to skip at the beginning of the sheet, and the nrows parameter specifies the number of rows to read.

Once the data is read into a pandas dataframe, the values attribute is used to convert it to an array. The resulting array will have the same number of rows and columns as the specified range in the Excel file.

Note that in order to use the pandas library, you need to have it installed. You can install it by running the following command in your terminal or command prompt:

pip install pandas

Additionally, if you are working with Excel files, you may also need to install the openpyxl library, which provides support for reading and writing Excel files. You can install it by running the following command:

pip install openpyxl

Once you have both pandas and openpyxl installed, you can use the code example above to read a specified range from an Excel file and convert it to an array in Python.