Aspose.Cells for Python via .NET
==================================
`Product Page <https://products.aspose.com/cells/python-net>`_ | `Docs <https://docs.aspose.com/cells/python-net/>`_ | `API Reference <https://reference.aspose.com/cells/python-net/>`_ | `Demos <https://products.aspose.app/cells/family/>`_ | `Blog <https://blog.aspose.com/category/cells/>`_ | `Code Samples <https://github.com/aspose-cells/Aspose.Cells-for-Python-via-.NET>`_ | `Free Support <https://forum.aspose.com/c/cells>`_ | `Temporary License <https://purchase.aspose.com/temporary-license>`_ | `EULA <https://company.aspose.com/legal/eula>`_
Try our `free online apps <https://products.aspose.app/cells/family>`_ demonstrating some of the most popular Aspose.Cells functionality.
Overview
--------
Aspose.Cells for Python via .NET is a powerful spreadsheet management library that allows developers to create, format, and manipulate Excel files programmatically without the need for Microsoft Excel. It supports features like:
- Creating Pivot Tables
- Advanced conditional formatting
- Conversion to PDF, HTML, JSON
- Charts, Smart Markers, OLE objects
- Filtering data
Aspose.Cells API Features
-------------------------
- Spreadsheet generation & manipulation via API
- High-quality file format conversion & rendering
- Print Microsoft Excel® files to physical or virtual printers
- Combine, modify, protect, or parse Excel® sheets
- Apply worksheet formatting and page setup
- Create & customize Excel® charts, Pivot Tables, conditional formatting, slicers, tables & spark-lines
- Convert Excel® charts to images & PDF
- Formula calculation engine supporting basic and advanced Excel functions
Supported Read & Write Formats
------------------------------
- Microsoft Excel®: XLS, XLSX, XLSB, XLSM, XLT, XLTX, XLTM, SpreadsheetML
- OpenOffice: ODS, SXC, FODS
- Text: JSON, TXT, CSV, TSV, Tab-Delimited
- Web: HTML, MHTML
- iWork®: Numbers
Save Excel® Files As
--------------------
- Microsoft Word®: DOCX
- Microsoft PowerPoint®: PPTX
- Microsoft Excel®: XLAM
- Fixed Layout: PDF, XPS
- Text: JSON, TXT, CSV, TSV, Tab-Delimited, XML
- Image: TIFF, PNG, BMP, JPEG, GIF, SVG
- Metafile: EMF
- Markdown: MD
Examples
--------
**Create Excel file from scratch**
.. code-block:: python
# import the python package
import aspose.cells
from aspose.cells import License, Workbook, FileFormatType
# Instantiating a Workbook object
workbook = Workbook()
# Get the first worksheet
worksheet = workbook.worksheets[0]
# Get the "A1" cell
cell = worksheet.cells.get("A1")
# Write "Hello World" to "A1" in the first sheet
cell.put_value("Hello World!")
# Saving this workbook to XLSX
workbook.save("HelloWorld.xlsx")
**Convert Excel XLSX file to PDF**
.. code-block:: python
# import the python package
import aspose.cells
from aspose.cells import Workbook
# Instantiating a Workbook object
workbook = Workbook("HelloWorld.xlsx")
# Saving this workbook to PDF
workbook.save("HelloWorld.pdf")
**Create a chart**
.. code-block:: python
from aspose.cells import Workbook
from aspose.cells.charts import ChartType
# Instantiating a Workbook object
workbook = Workbook()
# Adding a new worksheet to the Excel object
sheetIndex = workbook.worksheets.add()
# Obtaining the reference of the newly added worksheet by passing its sheet index
worksheet = workbook.worksheets[sheetIndex]
# Adding sample values to cells
worksheet.cells.get("A1").put_value(50)
worksheet.cells.get("A2").put_value(100)
worksheet.cells.get("A3").put_value(170)
worksheet.cells.get("A4").put_value(300)
worksheet.cells.get("B1").put_value(160)
worksheet.cells.get("B2").put_value(32)
worksheet.cells.get("B3").put_value(50)
worksheet.cells.get("B4").put_value(40)
# Adding sample values to cells as category data
worksheet.cells.get("C1").put_value("Q1")
worksheet.cells.get("C2").put_value("Q2")
worksheet.cells.get("C3").put_value("Y1")
worksheet.cells.get("C4").put_value("Y2")
# Adding a chart to the worksheet
chartIndex = worksheet.charts.add(ChartType.COLUMN, 5, 0, 15, 5)
# Accessing the instance of the newly added chart
chart = worksheet.charts[chartIndex]
# Adding SeriesCollection (chart data source) to the chart ranging from "A1" cell to "B4"
chart.n_series.add("A1:B4", True)
# Setting the data source for the category data of SeriesCollection
chart.n_series.category_data = "C1:C4"
# Saving the Excel file
workbook.save("Chart.xlsx")
**Convert Excel workbook to JSON**
.. code-block:: python
from aspose.cells import Workbook
# Instantiating a Workbook object
workbook = Workbook()
# Obtaining the reference of the newly added worksheet
sheet = workbook.worksheets[0]
cells = sheet.cells
# Setting the value to the cells
cells.get("A1").put_value("First name")
cells.get("A2").put_value("Simon")
cells.get("A3").put_value("Kevin")
cells.get("A4").put_value("Leo")
cells.get("A5").put_value("Johnson")
cells.get("B1").put_value("Age")
cells.get("B2").put_value(32)
cells.get("B3").put_value(33)
cells.get("B4").put_value(34)
cells.get("B5").put_value(35)
cells.get("C1").put_value("Value")
cells.get("C2").put_value(123.546)
cells.get("C3").put_value(56.78)
cells.get("C4").put_value(34)
cells.get("C5").put_value(9)
# Saving the Excel file to json
workbook.save("Out.json")
**Convert Excel to Pandas DataFrame**
.. code-block:: python
import pandas as pd
from aspose.cells import Workbook
# Create a new Aspose.Cells Workbook
workbook = Workbook()
# Get the first worksheet
worksheet = workbook.worksheets[0]
# Get the cells
cells = worksheet.cells
# Add header and data values to specific cells
cells.get("A1").value = "Name"
cells.get("B1").value = "Age"
cells.get("C1").value = "City"
cells.get("A2").value = "Alice"
cells.get("B2").value = 25
cells.get("C2").value = "New York"
cells.get("A3").value = "Bob"
cells.get("B3").value = 30
cells.get("C3").value = "San Francisco"
cells.get("A4").value = "Charlie"
cells.get("B4").value = 35
cells.get("C4").value = "Los Angeles"
rowCount = cells.max_data_row
columnCount = cells.max_data_column
# Read the header row (row 0) and store column names
columnDatas = []
for c in range(columnCount + 1):
columnDatas.append(cells.get_cell(0, c).value)
# Create an empty pandas DataFrame with column names from Excel
result = pd.DataFrame(columns=columnDatas, dtype=object)
# Read each data row (from row 1 onward) and add to the DataFrame
for i in range(1, rowCount + 1):
rowarray = [cells.get_cell(i, j).value for j in range(columnCount + 1)]
result.loc[i - 1] = rowarray
print(result)
**Combine two workbooks into one**
.. code-block:: python
from aspose.cells import Workbook
# Load the first Workbook
SourceBook1 = Workbook("first.xlsx")
# Load the second Workbook
SourceBook2 = Workbook("second.xlsx")
# Combine the second workbook into the first workbook
SourceBook1.combine(SourceBook2)
# Save the combined workbook to a new file
SourceBook1.save("combined.xlsx")
`Product Page <https://products.aspose.com/cells/python-net>`_ | `Docs <https://docs.aspose.com/cells/python-net/>`_ | `API Reference <https://reference.aspose.com/cells/python-net/>`_ | `Demos <https://products.aspose.app/cells/family/>`_ | `Blog <https://blog.aspose.com/category/cells/>`_ | `Free Support <https://forum.aspose.com/c/cells>`_ | `Temporary License <https://purchase.aspose.com/temporary-license>`_ | `EULA <https://company.aspose.com/legal/eula>`_
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"description": "Aspose.Cells for Python via .NET\n==================================\n\n\n`Product Page <https://products.aspose.com/cells/python-net>`_ | `Docs <https://docs.aspose.com/cells/python-net/>`_ | `API Reference <https://reference.aspose.com/cells/python-net/>`_ | `Demos <https://products.aspose.app/cells/family/>`_ | `Blog <https://blog.aspose.com/category/cells/>`_ | `Code Samples <https://github.com/aspose-cells/Aspose.Cells-for-Python-via-.NET>`_ | `Free Support <https://forum.aspose.com/c/cells>`_ | `Temporary License <https://purchase.aspose.com/temporary-license>`_ | `EULA <https://company.aspose.com/legal/eula>`_\n\nTry our `free online apps <https://products.aspose.app/cells/family>`_ demonstrating some of the most popular Aspose.Cells functionality.\n\nOverview\n--------\n\nAspose.Cells for Python via .NET is a powerful spreadsheet management library that allows developers to create, format, and manipulate Excel files programmatically without the need for Microsoft Excel. It supports features like:\n\n- Creating Pivot Tables\n- Advanced conditional formatting\n- Conversion to PDF, HTML, JSON\n- Charts, Smart Markers, OLE objects\n- Filtering data\n\nAspose.Cells API Features\n-------------------------\n\n- Spreadsheet generation & manipulation via API\n- High-quality file format conversion & rendering\n- Print Microsoft Excel\u00ae files to physical or virtual printers\n- Combine, modify, protect, or parse Excel\u00ae sheets\n- Apply worksheet formatting and page setup\n- Create & customize Excel\u00ae charts, Pivot Tables, conditional formatting, slicers, tables & spark-lines\n- Convert Excel\u00ae charts to images & PDF\n- Formula calculation engine supporting basic and advanced Excel functions\n\nSupported Read & Write Formats\n------------------------------\n\n- Microsoft Excel\u00ae: XLS, XLSX, XLSB, XLSM, XLT, XLTX, XLTM, SpreadsheetML\n- OpenOffice: ODS, SXC, FODS\n- Text: JSON, TXT, CSV, TSV, Tab-Delimited\n- Web: HTML, MHTML\n- iWork\u00ae: Numbers\n\nSave Excel\u00ae Files As\n--------------------\n\n- Microsoft Word\u00ae: DOCX\n- Microsoft PowerPoint\u00ae: PPTX\n- Microsoft Excel\u00ae: XLAM\n- Fixed Layout: PDF, XPS\n- Text: JSON, TXT, CSV, TSV, Tab-Delimited, XML\n- Image: TIFF, PNG, BMP, JPEG, GIF, SVG\n- Metafile: EMF\n- Markdown: MD\n\nExamples\n--------\n\n**Create Excel file from scratch**\n\n.. code-block:: python\n\n # import the python package\n import aspose.cells\n from aspose.cells import License, Workbook, FileFormatType\n\n # Instantiating a Workbook object\n workbook = Workbook()\n # Get the first worksheet\n worksheet = workbook.worksheets[0]\n # Get the \"A1\" cell\n cell = worksheet.cells.get(\"A1\")\n # Write \"Hello World\" to \"A1\" in the first sheet\n cell.put_value(\"Hello World!\")\n # Saving this workbook to XLSX\n workbook.save(\"HelloWorld.xlsx\")\n\n**Convert Excel XLSX file to PDF**\n\n.. code-block:: python\n\n # import the python package\n import aspose.cells\n from aspose.cells import Workbook\n\n # Instantiating a Workbook object\n workbook = Workbook(\"HelloWorld.xlsx\")\n # Saving this workbook to PDF\n workbook.save(\"HelloWorld.pdf\")\n\n**Create a chart**\n\n.. code-block:: python\n\n from aspose.cells import Workbook\n from aspose.cells.charts import ChartType\n\n # Instantiating a Workbook object\n workbook = Workbook()\n # Adding a new worksheet to the Excel object\n sheetIndex = workbook.worksheets.add()\n # Obtaining the reference of the newly added worksheet by passing its sheet index\n worksheet = workbook.worksheets[sheetIndex]\n # Adding sample values to cells\n worksheet.cells.get(\"A1\").put_value(50)\n worksheet.cells.get(\"A2\").put_value(100)\n worksheet.cells.get(\"A3\").put_value(170)\n worksheet.cells.get(\"A4\").put_value(300)\n worksheet.cells.get(\"B1\").put_value(160)\n worksheet.cells.get(\"B2\").put_value(32)\n worksheet.cells.get(\"B3\").put_value(50)\n worksheet.cells.get(\"B4\").put_value(40)\n # Adding sample values to cells as category data\n worksheet.cells.get(\"C1\").put_value(\"Q1\")\n worksheet.cells.get(\"C2\").put_value(\"Q2\")\n worksheet.cells.get(\"C3\").put_value(\"Y1\")\n worksheet.cells.get(\"C4\").put_value(\"Y2\")\n # Adding a chart to the worksheet\n chartIndex = worksheet.charts.add(ChartType.COLUMN, 5, 0, 15, 5)\n # Accessing the instance of the newly added chart\n chart = worksheet.charts[chartIndex]\n # Adding SeriesCollection (chart data source) to the chart ranging from \"A1\" cell to \"B4\"\n chart.n_series.add(\"A1:B4\", True)\n # Setting the data source for the category data of SeriesCollection\n chart.n_series.category_data = \"C1:C4\"\n # Saving the Excel file\n workbook.save(\"Chart.xlsx\")\n\n**Convert Excel workbook to JSON**\n\n.. code-block:: python\n\n from aspose.cells import Workbook\n\n # Instantiating a Workbook object\n workbook = Workbook()\n # Obtaining the reference of the newly added worksheet\n sheet = workbook.worksheets[0]\n cells = sheet.cells\n # Setting the value to the cells\n cells.get(\"A1\").put_value(\"First name\")\n cells.get(\"A2\").put_value(\"Simon\")\n cells.get(\"A3\").put_value(\"Kevin\")\n cells.get(\"A4\").put_value(\"Leo\")\n cells.get(\"A5\").put_value(\"Johnson\")\n\n cells.get(\"B1\").put_value(\"Age\")\n cells.get(\"B2\").put_value(32)\n cells.get(\"B3\").put_value(33)\n cells.get(\"B4\").put_value(34)\n cells.get(\"B5\").put_value(35)\n\n cells.get(\"C1\").put_value(\"Value\")\n cells.get(\"C2\").put_value(123.546)\n cells.get(\"C3\").put_value(56.78)\n cells.get(\"C4\").put_value(34)\n cells.get(\"C5\").put_value(9)\n # Saving the Excel file to json\n workbook.save(\"Out.json\")\n\n**Convert Excel to Pandas DataFrame**\n\n.. code-block:: python\n\n import pandas as pd\n from aspose.cells import Workbook\n\n # Create a new Aspose.Cells Workbook\n workbook = Workbook()\n # Get the first worksheet\n worksheet = workbook.worksheets[0]\n # Get the cells\n cells = worksheet.cells\n # Add header and data values to specific cells\n cells.get(\"A1\").value = \"Name\"\n cells.get(\"B1\").value = \"Age\"\n cells.get(\"C1\").value = \"City\"\n cells.get(\"A2\").value = \"Alice\"\n cells.get(\"B2\").value = 25\n cells.get(\"C2\").value = \"New York\"\n cells.get(\"A3\").value = \"Bob\"\n cells.get(\"B3\").value = 30\n cells.get(\"C3\").value = \"San Francisco\"\n cells.get(\"A4\").value = \"Charlie\"\n cells.get(\"B4\").value = 35\n cells.get(\"C4\").value = \"Los Angeles\"\n\n rowCount = cells.max_data_row\n columnCount = cells.max_data_column\n\n # Read the header row (row 0) and store column names\n columnDatas = []\n for c in range(columnCount + 1):\n columnDatas.append(cells.get_cell(0, c).value)\n\n # 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