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exmlrd-1.0.4


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توضیحات

Python module for simple reading of Excel(.xlsx)
ویژگی مقدار
سیستم عامل -
نام فایل exmlrd-1.0.4
نام exmlrd
نسخه کتابخانه 1.0.4
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده Hayato Sonokawa <hsono10n1@gmail.com>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/exmlrd/
مجوز -
# A Python library for easy handling of XML files The exmlrdrd package is a simple package for reading and extracting data from Excel files. It is ideal for projects that need to extract data from Excel files without the need for a full-featured library. This package provides a simple interface for reading and extracting data from Excel files. It supports the xlsx format and can be easily integrated into any Python project. With exmlrd, you can easily read and extract data from Excel files without writing complicated code. Simply import the package, open the Excel file, and extract the data you need. The package also includes options to specify the sheet or range of sheets to be extracted and the ability to extract all the data in the file. ## Installation Use pip to install exmlrd: ```bash pip install exmlrd ``` ## Usage ### Extract the Cell With the exmlrd package, you can easily specify the row and column numbers of a cell and extract the corresponding data. This allows you to easily access specific cell information within an Excel file. ```python import exmlrd excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") cell = excel_arch.get_cell(2, 3) if cell is None: # Describe the processing when the type of a cell is None: ... # Get Cell Address print(f"address: {cell.address}") # Get Cell Text print(f"Cell Text: {cell.value}") # Get a Cell Font print(f"Value: {cell.style.font}") # Get a Cell Fill print(f"Value: {cell.style.fill}") # Get a Cell print(f"Value: {cell.style.border}") ``` ### Bulk extraction of cells from Excel The exmlrd package also allows you to extract data from multiple cells at once, making it easy to retrieve large amounts of information from an Excel file in one go. ```python import exmlrd excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") cell = excel_arch.get_cell(2, 3) if cell is None: # Describe the processing when the type of a cell is None: ... # Retrieve values from multiple cells. # Get the name of sheet number "2" for i in range(0, 1): for j in range(0, 3): cell = excel_arch.get_cell(i, j, worksheet=2) if cell is None: continue print(f"Address: {cell.address}") print(f"Value: {cell.value}") ``` ### Retrieve properties of cells from Excel The package's prop.decorator contains properties of the cells. ```python import exmlrd excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") cell = excel_arch.get_cell(2, 3) if cell is None: # Describe the processing when the type of a cell is None: ... # Retrieve values from multiple cells. # Get the name of sheet number "2" for i in range(0, 1): for j in range(0, 3): cell = excel_arch.get_cell(i, j, worksheet=2) if cell is None: continue print(f"Address: {cell.address}") print(f"Value: {cell.value}") print(f"Font: {cell.style.font}") print(f"Border: {cell.style.border}") print(f"Fill: {cell.style.fill}") for rich in cell.shared.rpr: print(f" RichText: {rich}") print("-" * 50) ``` ### Getting the Sheet Name To get the name of a sheet in a spreadsheet, you can use the title attribute of the sheet object in the library you are using. ```python import exmlrd excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") # Get the name of sheet number "1" # The sheet number must start with 1. index=0 is an error. sheet_name = excel_arch.worksheet(index=1) print(sheet_name) ``` ### Retrieve addresses of all merged cells This is how you can retrieve addresses of all merged cells in a worksheet using `exmlrd` ```python import exmlrd excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") # If merged, the range of cells is returned as a string. # If not merged, an empty string is returned. merge_cell = excel_arch.get_mergecell(start_cell="A1", worksheet=1) print(merge_cell) # Obtain all merged cell locations. merge_cells = excel_arch.get_all_mergecell(1) print(merge_cells) ``` ### Convert Json You can also convert the information in Excel to JSON using `to_json()` Additionally, by specifying a filename, you can output to a JSON file. ```python excel_arch = exmlrd.excel_archiver("myInputExcelFile.xlsx") # Cell(2,3) => Json cvt_json = excel_arch.to_json(row=2, col=3) # Cell(2,3) => sample.json cvt_json = excel_arch.to_json(row=2, col=3, save_path="sample.json") ``` Output: ```json { "Test1": [ { "row": 1, "col": 1, "address": "A1", "value": "Sample Data", "formula": "", "shared": { "rpr": [ { "sz": "", "color": "", "rFont": "", "family": "", "scheme": "", "charset": "", "text": "Sample Data" } ] }, "style": { "numFmt": { "id": "", "formatCode": "" }, "font": { "sz": "6", "name": "MS Pゴシック", "family": "3", "charset": "128", "scheme": "minor", "color": "", "b": false, "i": false, "u": false, "strike": false, "outline": false, "shadow": false, "condense": "", "extend": "", "vertAlign": "" }, "fill": { "patternFill": "none", "fgColor": null, "bgColor": null }, "border": { "left": false, "right": false, "top": false, "bottom": false, "diagonal": false } } } ] } ``` ## In Conclusion and Looking Forward Thank you for using this project. If you have any suggestions or questions, please feel free to reach out. We hope this project has been helpful for you. If you find this project useful, please consider sharing it with others and contributing to its development. Your support helps us continue to improve and maintain the project. We look forward to your continued involvement and feedback. Thank you for your time and consideration.


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl exmlrd-1.0.4:

    pip install exmlrd-1.0.4.whl


نصب پکیج tar.gz exmlrd-1.0.4:

    pip install exmlrd-1.0.4.tar.gz