aspose-cells-python 26.5.0

Aspose.Cells for Python via .NET is a high-performance library that unleashes the full potential of Excel in your Python projects. It can be used to efficiently manipulate and convert Excel and spreadsheet formats including XLS, XLSX, XLSB, ODS, CSV, and HTML - all from your Python code. Amazingly, it also offers free support.

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Try our free online apps 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

# 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

# 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

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

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

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

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")

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