Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lära Openpyxl and Pandas | Excel Automation with Python (project)
Excel Automation with Python (project)
course content

Kursinnehåll

Excel Automation with Python (project)

Excel Automation with Python (project)

IntroductionCreate WorkbookSaveLoad WorkbookCell Valuesiter_rows()Open, Edit and SaveFiltersFormulasOpenpyxl and PandasCharts

bookOpenpyxl and Pandas

Let's now import an excel file and transform it into a pandas DataFrame!

Using openpyxl and pandas together allowing for efficient data analysis and the creation of feature-rich Excel reports directly from Python.

Uppgift

Swipe to start coding

  • Import pandas and openpyxl;
  • Extract the values of the workbook:
    • Use load_workbook() function that reads the file from the disk so that you can manipulate it;
    • workbook.active help get access to the currently active worksheet in the workbook;
  • sheet.values property generates a generator of all the rows in the worksheet, where each row is represented as a tuple of cell values.
  • Create a DataFrame (df) out of them:
    • Use pd.DataFrame() function.

Lösning

Mark tasks as Completed
Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 1. Kapitel 10
AVAILABLE TO ULTIMATE ONLY
some-alt