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How to Read Excel File Using Python

Read Excel File Using Python

Condition for Reading Excel File in Python

  • Description:
    To read Excel files using Pandas in Python, you can use the pandas.read_excel() function.

    This function reads the data from an Excel file and returns it as a DataFrame, which is a 2D data structure that is similar to a table or a spreadsheet.

    Steps: 1. Install pandas and openpyxl using pip install pandas openpyxl.
    2. Import Pandas with import pandas as pd.
    3. Read the Excel file using df = pd.read_excel('filename.xlsx').
    4. If reading specific sheets, use sheet_name='Sheet1'.
    5. To read all sheets, set sheet_name=None.
    6. Inspect data with methods like df.head() and df.describe().

Step-by-Step Process
  • Install Pandas and openpyxl:
    Install required libraries using pip install pandas openpyxl.
  • Import Pandas:
    Import the pandas library using import pandas as pd.
  • Read the Excel File:
    Use df = pd.read_excel('filename.xlsx') to load the Excel file into a DataFrame.
  • Read Specific Sheets:
    To read a specific sheet, use the sheet_name='Sheet1' parameter.
  • Read All Sheets:
    To read all sheets, set sheet_name=None.
  • Inspect Data:
    Use df.head() to see the first few rows and df.describe() for summary statistics.
Sample Source Code
  • # Code for Reading Excel File

    import pandas as pd

    # Reading the excel file
    df=pd.read_excel('/home/soft23/Downloads/Sample_Submission.xlsx')

    # Displaying the first 5 rows
    print("Displaying dataset:\n",df.head())

    # Displaying summary statistics
    print("\n Summary statistics of a dataset:\n",df.describe())
Screenshots
  • Read Excel File Using Python

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