Открытие таблиц Excel в pandas

Most teams still share data as spreadsheets. Good news: pandas opens them almost as easily as CSVs, so you rarely need Excel itself. 📊

To load a workbook, reach for read_excel. Give it the file path and pandas hands you a DataFrame just like before.

Behind the scenes pandas needs the openpyxl library to read xlsx files. Install it once and read_excel just works.

A single workbook can hold several tabs. By default pandas reads only the first sheet, which is not always the one you want.

Pass sheet_name with the tab title to grab exactly the right one. Names are clearer and safer than relying on position.

You can also select a sheet by its zero-based index. sheet_name=1 reads the second tab in the workbook.

Set sheet_name=None and pandas returns a dictionary mapping each tab name to its own DataFrame. Handy for whole workbooks.

Excel files often start with a title or blank rows. Use skiprows to ignore them so the real header lands correctly.

The usecols option accepts Excel letters like A:D, pulling only those columns straight from the sheet.

Just like with CSVs, index_col promotes a column to the row index right as the spreadsheet is read.

Notice the pattern: read_excel shares most options with read_csv. Learn one reader and the others feel instantly familiar.

You want every tab in a workbook loaded at once. What do you set?

You can open any workbook with read_excel: choose sheets by name or index, skip junk rows, and limit columns. Spreadsheets hold no secrets now. 🎉