Python Excel Libraries (The 'excel' PyPI Package is Reserved)

1.0.1 · abandoned · verified Thu Apr 16

The 'excel' package on PyPI (version 1.0.1) is a placeholder, reserved by Microsoft Corporation, and does not provide any functional library for interacting with Excel files. Python developers typically use other robust and actively maintained libraries such as `openpyxl` for reading and writing `.xlsx` files, `pandas` for data analysis and manipulation with Excel integration, `xlsxwriter` for creating new `.xlsx` files with extensive formatting, `xlwings` for automating Excel with Python, and `pyexcel` for a unified API across various Excel formats. This entry focuses on guiding users to `openpyxl` as the most common direct alternative for Excel file operations.

Common errors

```
ModuleNotFoundError: No module named 'excel'
```
cause You tried to import directly from a module named 'excel', which does not exist as a functional library after installing the PyPI placeholder package.

fix Install and import from a specific Excel library, e.g., `pip install openpyxl` then `from openpyxl import Workbook`.
```
zipfile.BadZipFile: File is not a zip file
```
cause Attempting to open an `.xls` file with `openpyxl` (which expects `.xlsx` files).

fix Ensure you are using `openpyxl` with `.xlsx` files. For `.xls` files, use `xlrd` (e.g., `import xlrd; workbook = xlrd.open_workbook('your_file.xls')`).
```
TypeError: 'str' object cannot be interpreted as an integer
```
cause Often occurs when iterating over cells or trying to access them by string coordinates where an integer index is expected, or vice-versa, especially when mixing `openpyxl`'s 1-indexed string notation with 0-indexed integer loops.

fix Double-check cell access methods. Use `ws.cell(row=1, column=1)` for integer-based access or `ws['A1']` for string-based access, ensuring consistency.

Warnings

breaking The `excel` package on PyPI is a reserved placeholder and does not contain any functional code. Attempting to install or import from it will not provide Excel manipulation capabilities.
Fix: Always use specific, functional libraries like `openpyxl`, `pandas`, `xlsxwriter`, or `xlwings` instead of `excel`.
gotcha When working with `openpyxl`, remember that cell coordinates are 1-indexed (e.g., 'A1', 'B2') and sheets are accessed by name or by being the active sheet. New workbooks always start with one active sheet.
Fix: Refer to `openpyxl`'s official documentation for detailed usage, especially regarding cell addressing and sheet manipulation to avoid unexpected behavior.
gotcha If you're dealing with older `.xls` files (not `.xlsx`), `openpyxl` will not work. You'll need libraries like `xlrd` (for reading) or `xlwt` (for writing).
Fix: Determine the file format (`.xls` vs. `.xlsx`) before choosing a library. Use `xlrd` or `xlwt` for `.xls` files and `openpyxl`, `xlsxwriter`, or `pandas` for `.xlsx` files.

Install

pip install openpyxl For reading/writing .xlsx files (most common need)
pip install pandas openpyxl For data analysis with Excel (requires openpyxl or xlrd)
pip install xlsxwriter For writing new .xlsx files with advanced formatting

Imports

Workbook
wrong:
```
import excel.Workbook
```
correct:
```
from openpyxl import Workbook
```
The `excel` package does not contain a Workbook class; `openpyxl` is the correct library.
load_workbook
wrong:
```
from excel import load_workbook
```
correct:
```
from openpyxl import load_workbook
```
Attempting to import from 'excel' will result in an ImportError as the package is non-functional.

Quickstart

This quickstart demonstrates how to create a new Excel workbook, write data to it, save it, and then load an existing workbook to read data using `openpyxl`, the most commonly used library for direct `.xlsx` file manipulation.

from openpyxl import Workbook
from openpyxl import load_workbook

# Create a new workbook
wb = Workbook()
ws = wb.active
ws.title = "Sheet1"
ws['A1'] = 'Hello'
ws['B1'] = 'World!'

# Save the workbook
file_path = "example.xlsx"
wb.save(file_path)
print(f"Created {file_path}")

# Load an existing workbook
loaded_wb = load_workbook(file_path)
loaded_ws = loaded_wb.active
cell_a1_value = loaded_ws['A1'].value
print(f"Value from A1: {cell_a1_value}")

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