When it comes to visualizing data, generating a pie chart in Python is a popular choice. This method allows developers to create a clear and concise graphical representation of data distributions. Whether you are analyzing market share or displaying survey results, a pie chart can simplify complex data. Moreover, using Aspose.Slides for Python via .NET, you can effortlessly generate a pie chart in Python programmatically. This powerful library provides developers with the tools needed to create customized, professional pie charts directly within their Python applications. In fact, it seamlessly integrates into your existing workflow, saving time and effort.
The following sections will be covered in this article:
Graphical Representation in Python - API Installation
To get started with generating a pie chart in Python, the first step is to install the library. Thankfully, installing Aspose.Slides for Python via .NET is straightforward. You can easily install it via pip, the package manager for Python. Open your CMD/terminal and run the following command:
pip install aspose.slides
Once the installation is complete, you are all set to begin generating pie charts in your Python projects. The library is lightweight and integrates smoothly with your existing environment, making the setup process quick and hassle-free.
Generate a Pie Chart in Python - Code Snippet
Now that you have installed the library, let’s dive into generating a pie chart in Python. Here’s a step-by-step guide to help you get started:
- Create an instance of the Presentation class that represents the PPTX file.
- Now, access the first slide.
- Invoke the add_text_frame_for_overriding method to set the chart Title.
- Next, set the first series to show Values.
- The chart.chart_data.series.add method will add a new series.
- Call the add_data_point_for_pie_series method to populate series data.
- The add method will add new categories.
- Next, set the first series to show Values.
- The save function will save the presentation with a pie chart.
This code snippet simplifies how to generate of pie chart in Python programmatically:
| import aspose.pydrawing as drawing | |
| import aspose.slides as slides | |
| # Create an instance of the Presentation class that represents PPTX file. | |
| with slides.Presentation() as presentation: | |
| # Now, access first slide. | |
| slide = presentation.slides[0] | |
| # Add chart with default data. | |
| chart = slide.shapes.add_chart(slides.charts.ChartType.PIE, 100, 100, 400, 400) | |
| # Invoke the add_text_frame_for_overriding method to set the chart Title. | |
| chart.chart_title.add_text_frame_for_overriding("Sample Title") | |
| chart.chart_title.text_frame_for_overriding.text_frame_format.center_text = slides.NullableBool.TRUE | |
| chart.chart_title.height = 20 | |
| chart.has_title = True | |
| # Next, set first series to show Values. | |
| chart.chart_data.series[0].labels.default_data_label_format.show_value = True | |
| # Setting the index of chart data sheet | |
| default_worksheet_index = 0 | |
| # Getting the chart data worksheet | |
| fact = chart.chart_data.chart_data_workbook | |
| # Delete default generated series and categories | |
| chart.chart_data.series.clear() | |
| chart.chart_data.categories.clear() | |
| # The add method will add new categories. | |
| chart.chart_data.categories.add(fact.get_cell(0, 1, 0, "First Qtr")) | |
| chart.chart_data.categories.add(fact.get_cell(0, 2, 0, "2nd Qtr")) | |
| chart.chart_data.categories.add(fact.get_cell(0, 3, 0, "3rd Qtr")) | |
| # The chart.chart_data.series.add method will add new series. | |
| series = chart.chart_data.series.add(fact.get_cell(0, 0, 1, "Series 1"), chart.type) | |
| # Call the add_data_point_for_pie_series method to populate series data. | |
| series.data_points.add_data_point_for_pie_series(fact.get_cell(default_worksheet_index, 1, 1, 20)) | |
| series.data_points.add_data_point_for_pie_series(fact.get_cell(default_worksheet_index, 2, 1, 50)) | |
| series.data_points.add_data_point_for_pie_series(fact.get_cell(default_worksheet_index, 3, 1, 30)) | |
| # Adding new points and setting sector color. | |
| chart.chart_data.series_groups[0].is_color_varied = True | |
| point = series.data_points[0] | |
| point.format.fill.fill_type = slides.FillType.SOLID | |
| point.format.fill.solid_fill_color.color = drawing.Color.cyan | |
| # Setting Sector border | |
| point.format.line.fill_format.fill_type = slides.FillType.SOLID | |
| point.format.line.fill_format.solid_fill_color.color = drawing.Color.gray | |
| point.format.line.width = 3.0 | |
| point.format.line.style = slides.LineStyle.THIN_THICK | |
| point.format.line.dash_style = slides.LineDashStyle.DASH_DOT | |
| point1 = series.data_points[1] | |
| point1.format.fill.fill_type = slides.FillType.SOLID | |
| point1.format.fill.solid_fill_color.color = drawing.Color.brown | |
| # Setting Sector border. | |
| point1.format.line.fill_format.fill_type = slides.FillType.SOLID | |
| point1.format.line.fill_format.solid_fill_color.color = drawing.Color.blue | |
| point1.format.line.width = 3.0 | |
| point1.format.line.style = slides.LineStyle.SINGLE | |
| point1.format.line.dash_style = slides.LineDashStyle.LARGE_DASH_DOT | |
| point2 = series.data_points[2] | |
| point2.format.fill.fill_type = slides.FillType.SOLID | |
| point2.format.fill.solid_fill_color.color = drawing.Color.coral | |
| # Setting Sector border | |
| point2.format.line.fill_format.fill_type = slides.FillType.SOLID | |
| point2.format.line.fill_format.solid_fill_color.color = drawing.Color.red | |
| point2.format.line.width = 2.0 | |
| point2.format.line.style = slides.LineStyle.THIN_THIN | |
| point2.format.line.dash_style = slides.LineDashStyle.LARGE_DASH_DOT_DOT | |
| # Create custom labels for each of categories for new series | |
| lbl1 = series.data_points[0].label | |
| # lbl.show_category_name = True | |
| lbl1.data_label_format.show_value = True | |
| lbl2 = series.data_points[1].label | |
| lbl2.data_label_format.show_value = True | |
| lbl2.data_label_format.show_legend_key = True | |
| lbl2.data_label_format.show_percentage = True | |
| lbl3 = series.data_points[2].label | |
| lbl3.data_label_format.show_series_name = True | |
| lbl3.data_label_format.show_percentage = True | |
| # Show leader lines for Chart | |
| series.labels.default_data_label_format.show_leader_lines = True | |
| # Set rotation angle for Pie chart sectors. | |
| chart.chart_data.series_groups[0].first_slice_angle = 180 | |
| # The save function will save the presentation with a pie chart. | |
| presentation.save("./charts_pie_chart_out.pptx", slides.export.SaveFormat.PPTX) |
Pie Chart in Python - Get a Free License
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Summing up
In conclusion, generating a pie chart in Python using Aspose.Slides for Python via .NET is both efficient and straightforward. This pie chart generator API provides a powerful way to visually represent data, making your analysis more accessible and impactful. For further details, check out the documentation and API references. Start creating stunning pie charts today. In addition, please stay in touch with aspose.com for upcoming updates.
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Frequently Asked Questions – FAQs
How can I generate a pie chart in Python programmatically?
You can use libraries like Aspose.Slides for Python via .NET to programmatically generate a pie chart in Python. This link provides a working code snippet to implement the functionality.
Is it possible to customize the appearance of the pie chart?
Yes, you can fully customize the appearance, including the title, legend, and data points, while generating a pie chart. Please visit the GitHub repo for the code examples.