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Aspose.Words for Python via .NET 24.6.0 Windows AMD64

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  • Downloads:
  • 1
  • File Size:
  • 60.05MB
  • Date Added:
  • 5/7/2024

Description

This wheel contains Aspose.Words for Python via .NET version 24.6.0, built for Windows and targeting the AMD64 architecture.

File Details

The latest release of Aspose.Words for Python via .NET (v24.6.0, Win64) equips developers to build high-performance Word document processing solutions in Python. Experience refined charts, document comparisons, color control, and more on 64-bit Windows machines.

Create Diverse Charts

Generate Treemaps, Sunbursts, Histograms, Pareto, Box and Whisker, Waterfall, and Funnel charts within your documents using this Python word-processing apps API release. Check out the following code samples, which showcase how to create different types of charts in Python.

Box and Whisker Chart:

doc = aw.Document()
builder = aw.DocumentBuilder(doc)
# Insert a Box & Whisker chart.
shape = builder.insert_chart(chart_type=aw.drawing.charts.ChartType.BOX_AND_WHISKER, width=450, height=450)
chart = shape.chart
chart.title.text = 'Points by Years'
# Delete default generated series.
chart.series.clear()
# Add a series.
series = chart.series.add(series_name='Points by Years', categories=['WC', 'WC', 'WC', 'WC', 'WC', 'WC', 'WC', 'WC', 'WC', 'WC', 'NR', 'NR', 'NR', 'NR', 'NR', 'NR', 'NR', 'NR', 'NR', 'NR', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA'], values=[91, 80, 100, 77, 90, 104, 105, 118, 120, 101, 114, 107, 110, 60, 79, 78, 77, 102, 101, 113, 94, 93, 84, 71, 80, 103, 80, 94, 100, 101])
# Show data labels.
series.has_data_labels = True
doc.save(file_name=ARTIFACTS_DIR + 'Charts.BoxAndWhisker.docx')

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Funnel Chart:


doc = aw.Document()
builder = aw.DocumentBuilder(doc)
# Insert a Funnel chart.
shape = builder.insert_chart(chart_type=aw.drawing.charts.ChartType.FUNNEL, width=450, height=450)
chart = shape.chart
chart.title.text = 'Population by Age Group'
# Delete default generated series.
chart.series.clear()
# Add a series.
series = chart.series.add(series_name='Population by Age Group', categories=['0-9', '10-19', '20-29', '30-39', '40-49', '50-59', '60-69', '70-79', '80-89', '90-'], values=[0.121, 0.128, 0.132, 0.146, 0.124, 0.124, 0.111, 0.075, 0.032, 0.007])
# Show data labels.
series.has_data_labels = True
decimal_separator = locale.localeconv()['decimal_point']
series.data_labels.number_format.format_code = f"0{decimal_separator}0%"
doc.save(file_name=ARTIFACTS_DIR + 'Charts.Funnel.docx')

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Treemap Chart:


doc = aw.Document()
builder = aw.DocumentBuilder(doc)
# Insert a Treemap chart.
shape = builder.insert_chart(chart_type=aw.drawing.charts.ChartType.TREEMAP, width=450, height=280)
chart = shape.chart
chart.title.text = 'World Population'
# Delete default generated series.
chart.series.clear()
# Add a series.
series = chart.series.add_multilevel_value(series_name='Population by Region', categories=[aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='China'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='India'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Indonesia'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Pakistan'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Bangladesh'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Japan'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Philippines'), aw.drawing.charts.ChartMultilevelValue(level1='Asia', level2='Other'), aw.drawing.charts.ChartMultilevelValue(level1='Africa', level2='Nigeria'), aw.drawing.charts.ChartMultilevelValue(level1='Africa', level2='Ethiopia'), aw.drawing.charts.ChartMultilevelValue(level1='Africa', level2='Egypt'), aw.drawing.charts.ChartMultilevelValue(level1='Africa', level2='Other'), aw.drawing.charts.ChartMultilevelValue(level1='Europe', level2='Russia'), aw.drawing.charts.ChartMultilevelValue(level1='Europe', level2='Germany'), aw.drawing.charts.ChartMultilevelValue(level1='Europe', level2='Other'), aw.drawing.charts.ChartMultilevelValue(level1='Latin America', level2='Brazil'), aw.drawing.charts.ChartMultilevelValue(level1='Latin America', level2='Mexico'), aw.drawing.charts.ChartMultilevelValue(level1='Latin America', level2='Other'), aw.drawing.charts.ChartMultilevelValue(level1='Northern America', level2='United States'), aw.drawing.charts.ChartMultilevelValue(level1='Northern America', level2='Other'), aw.drawing.charts.ChartMultilevelValue(level1='Oceania')], values=[1409670000, 1400744000, 279118866, 241499431, 169828911, 123930000, 112892781, 764000000, 223800000, 107334000, 105914499, 903000000, 146150789, 84607016, 516000000, 203080756, 129713690, 310000000, 335893238, 35000000, 42000000])
# Show data labels.
series.has_data_labels = True
series.data_labels.show_value = True
series.data_labels.show_category_name = True
decimal_separator = locale.localeconv()['decimal_point']
series.data_labels.number_format.format_code = f"0{decimal_separator}0%"
doc.save(file_name=ARTIFACTS_DIR + 'Charts.Treemap.docx')

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Fine-Tuned Shadow Colors

Precisely control shadow appearance with color adjustments with version 24.6.0 of our API on Windows x64 systems. We have introduced a new color property to the ShadowFormat class for accessing and modifying shadow colors, as illustrated in this code example.


doc = aw.Document(file_name=MY_DIR + 'Shadow color.docx')
shape = doc.get_child(aw.NodeType.SHAPE, 0, True).as_shape()
self.assertEqual(aspose.pydrawing.Color.red.to_argb(), shape.shadow_format.color.to_argb())

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Powerful Document Comparisons

The newly added AdvancedCompareOptions class streamlines data analysis with improved comparison options in this release. A new property, ignore_store_item_id, is introduced to ignore differences in internal details of StructuredDocumentTags with the same content. Here is how you can use these advanced options in Python.


doc_a = aw.Document(file_name=MY_DIR + 'Document with SDT 1.docx')
doc_b = aw.Document(file_name=MY_DIR + 'Document with SDT 2.docx')
# Configure options to compare SDT with same content but different store item id.
compare_options = aw.comparing.CompareOptions()
compare_options.advanced_options.ignore_store_item_id = False
doc_a.compare(doc_b, "user", datetime.now(), compare_options)
self.assertEqual(8, doc_a.revisions.count)
compare_options.advanced_options.ignore_store_item_id = True
doc_a.revisions.reject_all()
doc_a.compare(doc_b, "user", datetime.now(), compare_options)
self.assertEqual(0, doc_a.revisions.count)

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Accurate Comment Timestamps

With the newly added date_time_utc property in the Comment class, developers can get precise comment creation time with Comment.DateTimeUtc. This is highlighted in the following Python code snippet.


doc = aw.Document()
builder = aw.DocumentBuilder(doc)
date = datetime.now()
comment = aw.Comment(doc, 'John Doe', 'J.D.', date)
comment.set_text('My comment.')
builder.current_paragraph.append_child(comment)
doc.save(file_name=ARTIFACTS_DIR + 'Comment.UtcDateTime.docx')

doc = aw.Document(ARTIFACTS_DIR + 'Comment.UtcDateTime.docx')
comment = doc.get_child(aw.NodeType.COMMENT, 0, True).as_comment()

# DateTimeUtc return data without milliseconds.
self.assertEqual(date.astimezone(timezone.utc).strftime("%Y-%m-%d %H:%M:%S"), comment.date_time_utc.strftime("%Y-%m-%d %H:%M:%S"))

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Faster Background Rendering

Aspose.Words for Python via .NET 24.6.0 allows you to experience accelerated background rendering for small elements in your applications running on the Win x64 environment.

Realistic Shape Gradients

It is now possible to achieve professional-looking documents having nonlinear gradients with this release of our Python Word documents API.

You can view the list of all new features, enhancements, and bug fixes introduced in this release by visiting Aspose.Words for Python via .NET 24.6.0 Release Notes.

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