Pd.excelfile vs pd.read_excel

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pd.ExcelFile vs pd.read_excel

Both pd.ExcelFile and pd.read_excel are methods used in pandas library for reading data from an Excel file. They have some differences in terms of functionality and usage.

1. pd.ExcelFile:

pd.ExcelFile is used to create an object that represents an Excel file. It does not load the data into memory immediately, but allows accessing the data through its methods. This method is preferred when you need to read multiple sheets from the same Excel file.

Example:

import pandas as pd

# Create an ExcelFile object
excel_file = pd.ExcelFile('path_to_excel_file.xlsx')

# Accessing sheet names
sheet_names = excel_file.sheet_names  # returns a list of sheet names

# Read data from a specific sheet
data = excel_file.parse('Sheet1')  # returns a DataFrame

2. pd.read_excel:

pd.read_excel is used to directly load the data from an Excel file into memory as a pandas DataFrame. This method can only read a single sheet at a time.

Example:

import pandas as pd

# Load data from an Excel file into a DataFrame
data = pd.read_excel('path_to_excel_file.xlsx', sheet_name='Sheet1')

# Accessing the loaded data
print(data.head())  # prints the first few rows of the DataFrame

Conclusion:

Use pd.ExcelFile when you need to read multiple sheets from the same Excel file. It provides flexibility in accessing and manipulating data from different sheets. On the other hand, use pd.read_excel when you only need to read a single sheet from the Excel file directly into memory as a DataFrame.

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