Final answer:
To open an XLSX file in Jupyter Notebook, the pandas and openpyxl libraries are required. Use the pandas function pd.read_excel() along with the openpyxl engine to read the file into a DataFrame for manipulation and analysis.
Step-by-step explanation:
To open an XLSX file in Jupyter Notebook, one would use libraries such as pandas and openpyxl. First, one needs to install these libraries if they are not already available in the environment. The pandas library can be installed using pip install pandas, and openpyxl can be installed with pip install openpyxl. Pandas can be used to read the data from the XLSX file and load it into a DataFrame. Here is an example code snippet to open and read an XLSX file:
import pandas as pd
df = pd.read_excel('path_to_file.xlsx', engine='openpyxl')
print(df.head())
In this code, pd.read_excel() is used to read the XLSX file, with the engine parameter set to 'openpyxl' since this engine can handle XLSX files. After reading the file, the data is stored in a DataFrame which can be manipulated and analyzed using various pandas functionalities.