Create Chart

Create Chart

Charts help people to quickly visualize data and gain insights, which may not be immediately obvious from a table or spreadsheet.

Why Create Charts?

Using charts, you get to

  • aggregate, condense, or summarize large amounts of data on a single slide in a presentation
  • expose patterns and trends in data
  • deduce the direction and momentum of data over time or with respect to a specific unit of measurement
  • spots outliers, aberrations, deviations, errors, nonsensical data, etc.
  • communicate or present complex data

In PowerPoint, you can create charts through the insert function, which provides templates used to design many types of charts. Using Aspose.Slides, you can create regular charts (based on popular chart types) and custom charts.

Creating Normal Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with some data and specify your preferred chart type.
  4. Add a title for the chart.
  5. Access the chart data worksheet.
  6. Clear all the default series and categories.
  7. Add new series and categories.
  8. Add some new chart data for the chart series.
  9. Add a fill color for chart series.
  10. Add labels for the chart series.
  11. Write the modified presentation as a PPTX file.

This Python code shows you how to create a normal chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

# Instantiate Presentation class that represents PPTX file
with slides.Presentation() as pres:

    # Access first slide
    sld = pres.slides[0]

    # Add chart with default data
    chart = sld.shapes.add_chart(charts.ChartType.CLUSTERED_COLUMN, 0, 0, 500, 500)

    # Setting chart Title
    chart.chart_title.add_text_frame_for_overriding("Sample Title")
    chart.chart_title.text_frame_for_overriding.text_frame_format.center_text = 1
    chart.chart_title.height = 20
    chart.has_title = True

    # 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
    defaultWorksheetIndex = 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()
    s = len(chart.chart_data.series)
    s = len(chart.chart_data.categories)

    # Adding new series
    chart.chart_data.series.add(fact.get_cell(defaultWorksheetIndex, 0, 1, "Series 1"), chart.type)
    chart.chart_data.series.add(fact.get_cell(defaultWorksheetIndex, 0, 2, "Series 2"), chart.type)

    # Adding new categories
    chart.chart_data.categories.add(fact.get_cell(defaultWorksheetIndex, 1, 0, "Caetegoty 1"))
    chart.chart_data.categories.add(fact.get_cell(defaultWorksheetIndex, 2, 0, "Caetegoty 2"))
    chart.chart_data.categories.add(fact.get_cell(defaultWorksheetIndex, 3, 0, "Caetegoty 3"))

    # Take first chart series
    series = chart.chart_data.series[0]

    # Now populating series data

    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 1, 1, 20))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 2, 1, 50))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 3, 1, 30))

    # Setting fill color for series
    series.format.fill.fill_type = slides.FillType.SOLID
    series.format.fill.solid_fill_color.color = draw.Color.red


    # Take second chart series
    series = chart.chart_data.series[1]

    # Now populating series data
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 1, 2, 30))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 2, 2, 10))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 3, 2, 60))

    # Setting fill color for series
    series.format.fill.fill_type = slides.FillType.SOLID
    series.format.fill.solid_fill_color.color = draw.Color.green

    # First label will be show Category name
    lbl = series.data_points[0].label
    lbl.data_label_format.show_category_name = True

    lbl = series.data_points[1].label
    lbl.data_label_format.show_series_name = True

    # Show value for third label
    lbl = series.data_points[2].label
    lbl.data_label_format.show_value = True
    lbl.data_label_format.show_series_name = True
    lbl.data_label_format.separator = "/"
                
    # Save presentation with chart
    pres.save("AsposeChart_out-1.pptx", slides.export.SaveFormat.PPTX)

Creating Scattered Charts

Scattered charts (also known as scattered plots or x-y graphs) are often used to check for patterns or demonstrate correlations between two variables.

You may want to use a scattered chart when

  • you have paired numerical data
  • you have 2 variables that pair well together
  • you want to determine whether 2 variables are related
  • you have an independent variable that has multiple values for a dependent variable

This Python code shows you how to create a scattered charts with a different series of markers:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:

    slide = pres.slides[0]

    # Creating the default chart
    chart = slide.shapes.add_chart(charts.ChartType.SCATTER_WITH_SMOOTH_LINES, 0, 0, 400, 400)

    # Getting the default chart data worksheet index
    defaultWorksheetIndex = 0

    # Getting the chart data worksheet
    fact = chart.chart_data.chart_data_workbook

    # Delete demo series
    chart.chart_data.series.clear()

    # Add new series
    chart.chart_data.series.add(fact.get_cell(defaultWorksheetIndex, 1, 1, "Series 1"), chart.type)
    chart.chart_data.series.add(fact.get_cell(defaultWorksheetIndex, 1, 3, "Series 2"), chart.type)

    # Take first chart series
    series = chart.chart_data.series[0]

    # Add new point (1:3) there.
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 2, 1, 1), fact.get_cell(defaultWorksheetIndex, 2, 2, 3))

    # Add new point (2:10)
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 3, 1, 2), fact.get_cell(defaultWorksheetIndex, 3, 2, 10))

    # Edit the type of series
    series.type = charts.ChartType.SCATTER_WITH_STRAIGHT_LINES_AND_MARKERS

    # Changing the chart series marker
    series.marker.size = 10
    series.marker.symbol = charts.MarkerStyleType.STAR

    # Take second chart series
    series = chart.chart_data.series[1]

    # Add new point (5:2) there.
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 2, 3, 5), fact.get_cell(defaultWorksheetIndex, 2, 4, 2))

    # Add new point (3:1)
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 3, 3, 3), fact.get_cell(defaultWorksheetIndex, 3, 4, 1))

    # Add new point (2:2)
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 4, 3, 2), fact.get_cell(defaultWorksheetIndex, 4, 4, 2))

    # Add new point (5:1)
    series.data_points.add_data_point_for_scatter_series(fact.get_cell(defaultWorksheetIndex, 5, 3, 5), fact.get_cell(defaultWorksheetIndex, 5, 4, 1))

    # Changing the chart series marker
    series.marker.size = 10
    series.marker.symbol = charts.MarkerStyleType.CIRCLE

    pres.save("AsposeChart_out-2.pptx", slides.export.SaveFormat.PPTX)

Creating Pie Charts

Pie charts are best used to show the part-to-whole relationship in data, especially when the data contains categorical labels with numeric values. However, if your data contains many parts or labels, you may want to consider using a bar chart instead.

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (in this case, ChartType.PIE).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Add new chart data for the chart series.
  8. Add new points for charts and add custom colors for the pie chart’s sectors.
  9. Set labels for series.
  10. Set leader lines for series labels.
  11. Set the rotation angle for pie chart slides.
  12. Write the modified presentation to a PPTX file

This Python code shows you how to create a pie chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

# Instantiate Presentation class that represents PPTX file
with slides.Presentation() as presentation:

    # Access first slide
    slide = presentation.slides[0]

    # Add chart with default data
    chart = slide.shapes.add_chart(charts.ChartType.PIE, 100, 100, 400, 400)

    # Setting chart Title
    chart.chart_title.add_text_frame_for_overriding("Sample Title")
    chart.chart_title.text_frame_for_overriding.text_frame_format.center_text = 1
    chart.chart_title.height = 20
    chart.has_title = True

    # 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
    defaultWorksheetIndex = 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()

    # Adding 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"))

    # Adding new series
    series = chart.chart_data.series.add(fact.get_cell(0, 0, 1, "Series 1"), chart.type)

    # Now populating series data
    series.data_points.add_data_point_for_pie_series(fact.get_cell(defaultWorksheetIndex, 1, 1, 20))
    series.data_points.add_data_point_for_pie_series(fact.get_cell(defaultWorksheetIndex, 2, 1, 50))
    series.data_points.add_data_point_for_pie_series(fact.get_cell(defaultWorksheetIndex, 3, 1, 30))

    # Not working in new version
    # Adding new points and setting sector color
    # series.IsColorVaried = True
    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 = draw.Color.cyan
    # Setting Sector border
    point.format.line.fill_format.fill_type = slides.FillType.SOLID
    point.format.line.fill_format.solid_fill_color.color = draw.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 = draw.Color.brown

    # Setting Sector border
    point1.format.line.fill_format.fill_type = slides.FillType.SOLID
    point1.format.line.fill_format.solid_fill_color.color = draw.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 = draw.Color.coral

    # Setting Sector border
    point2.format.line.fill_format.fill_type = slides.FillType.SOLID
    point2.format.line.fill_format.solid_fill_color.color = draw.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

    # Showing Leader Lines for Chart
    series.labels.default_data_label_format.show_leader_lines = True

    # Setting Rotation Angle for Pie Chart Sectors
    chart.chart_data.series_groups[0].first_slice_angle = 180

    # Save presentation with chart
    presentation.save("PieChart_out-3.pptx", slides.export.SaveFormat.PPTX)

Creating Tree Map Charts

Tree map charts are best used for sales data when you want to show the relative size of data categories and (at the same time) quickly draw attention to items that are large contributors to each category.

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (in this case, ChartType.TREEMAP).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Add new chart data for the chart series.
  8. Write the modified presentation to a PPTX file

This Python code shows you how to create a tree map chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.TREEMAP, 50, 50, 500, 400)
    chart.chart_data.categories.clear()
    chart.chart_data.series.clear()

    wb = chart.chart_data.chart_data_workbook

    wb.clear(0)

    #branch 1
    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C1", "Leaf1"))
    leaf.grouping_levels.set_grouping_item(1, "Stem1")
    leaf.grouping_levels.set_grouping_item(2, "Branch1")

    chart.chart_data.categories.add(wb.get_cell(0, "C2", "Leaf2"))

    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C3", "Leaf3"))
    leaf.grouping_levels.set_grouping_item(1, "Stem2")

    chart.chart_data.categories.add(wb.get_cell(0, "C4", "Leaf4"))


    #branch 2
    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C5", "Leaf5"))
    leaf.grouping_levels.set_grouping_item(1, "Stem3")
    leaf.grouping_levels.set_grouping_item(2, "Branch2")

    chart.chart_data.categories.add(wb.get_cell(0, "C6", "Leaf6"))

    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C7", "Leaf7"))
    leaf.grouping_levels.set_grouping_item(1, "Stem4")

    chart.chart_data.categories.add(wb.get_cell(0, "C8", "Leaf8"))

    series = chart.chart_data.series.add(charts.ChartType.TREEMAP)
    series.labels.default_data_label_format.show_category_name = True
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D1", 4))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D2", 5))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D3", 3))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D4", 6))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D5", 9))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D6", 9))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D7", 4))
    series.data_points.add_data_point_for_treemap_series(wb.get_cell(0, "D8", 3))

    series.parent_label_layout = charts.ParentLabelLayoutType.OVERLAPPING

    pres.save("Treemap-4.pptx", slides.export.SaveFormat.PPTX)

Creating Stock Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (ChartType.OPEN_HIGH_LOW_CLOSE).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Add new chart data for the chart series.
  8. Specify HiLowLines format.
  9. Write the modified presentation to a PPTX file

Sample Python code used to create a stock chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.OPEN_HIGH_LOW_CLOSE, 50, 50, 600, 400, False)

    chart.chart_data.series.clear()
    chart.chart_data.categories.clear()

    wb = chart.chart_data.chart_data_workbook

    chart.chart_data.categories.add(wb.get_cell(0, 1, 0, "A"))
    chart.chart_data.categories.add(wb.get_cell(0, 2, 0, "B"))
    chart.chart_data.categories.add(wb.get_cell(0, 3, 0, "C"))

    chart.chart_data.series.add(wb.get_cell(0, 0, 1, "Open"), chart.type)
    chart.chart_data.series.add(wb.get_cell(0, 0, 2, "High"), chart.type)
    chart.chart_data.series.add(wb.get_cell(0, 0, 3, "Low"), chart.type)
    chart.chart_data.series.add(wb.get_cell(0, 0, 4, "Close"), chart.type)

    series = chart.chart_data.series[0]

    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 1, 1, 72))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 2, 1, 25))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 3, 1, 38))

    series = chart.chart_data.series[1]
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 1, 2, 172))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 2, 2, 57))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 3, 2, 57))

    series = chart.chart_data.series[2]
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 1, 3, 12))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 2, 3, 12))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 3, 3, 13))

    series = chart.chart_data.series[3]
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 1, 4, 25))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 2, 4, 38))
    series.data_points.add_data_point_for_stock_series(wb.get_cell(0, 3, 4, 50))

    chart.chart_data.series_groups[0].up_down_bars.has_up_down_bars = True
    chart.chart_data.series_groups[0].hi_low_lines_format.line.fill_format.fill_type = slides.FillType.SOLID

    for ser in chart.chart_data.series:
        ser.format.line.fill_format.fill_type = slides.FillType.NO_FILL

    pres.save("output-5.pptx", slides.export.SaveFormat.PPTX)

Creating Box and Whisker Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (ChartType.BOX_AND_WHISKER).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Add new chart data for the chart series.
  8. Write the modified presentation to a PPTX file

This Python code shows you how to create a box and whisker chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.BOX_AND_WHISKER, 50, 50, 500, 400)
    chart.chart_data.categories.clear()
    chart.chart_data.series.clear()

    wb = chart.chart_data.chart_data_workbook

    wb.clear(0)

    chart.chart_data.categories.add(wb.get_cell(0, "A1", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A2", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A3", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A4", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A5", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A6", "Category 1"))

    series = chart.chart_data.series.add(charts.ChartType.BOX_AND_WHISKER)

    series.quartile_method = charts.QuartileMethodType.EXCLUSIVE
    series.show_mean_line = True
    series.show_mean_markers = True
    series.show_inner_points = True
    series.show_outlier_points = True

    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B1", 15))
    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B2", 41))
    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B3", 16))
    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B4", 10))
    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B5", 23))
    series.data_points.add_data_point_for_box_and_whisker_series(wb.get_cell(0, "B6", 16))


    pres.save("BoxAndWhisker-6.pptx", slides.export.SaveFormat.PPTX)

Creating Funnel Charts

  1. Create an instance of the Presentation class.
  2. Obtain a slide’s reference by its index.
  3. Add a chart with default data along with the desired type (ChartType.Funnel).
  4. Write the modified presentation to a PPTX file

This Python code shows you how to create a funnel chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.FUNNEL, 50, 50, 500, 400)
    chart.chart_data.categories.clear()
    chart.chart_data.series.clear()

    wb = chart.chart_data.chart_data_workbook

    wb.clear(0)

    chart.chart_data.categories.add(wb.get_cell(0, "A1", "Category 1"))
    chart.chart_data.categories.add(wb.get_cell(0, "A2", "Category 2"))
    chart.chart_data.categories.add(wb.get_cell(0, "A3", "Category 3"))
    chart.chart_data.categories.add(wb.get_cell(0, "A4", "Category 4"))
    chart.chart_data.categories.add(wb.get_cell(0, "A5", "Category 5"))
    chart.chart_data.categories.add(wb.get_cell(0, "A6", "Category 6"))

    series = chart.chart_data.series.add(charts.ChartType.FUNNEL)

    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B1", 50))
    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B2", 100))
    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B3", 200))
    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B4", 300))
    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B5", 400))
    series.data_points.add_data_point_for_funnel_series(wb.get_cell(0, "B6", 500))

    pres.save("Funnel-7.pptx", slides.export.SaveFormat.PPTX)

Creating Sunburst Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (in this case, ChartType.SUNBURST).
  4. Write the modified presentation to a PPTX file

This Python code shows you how to create a sunburst chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.SUNBURST, 50, 50, 500, 400)
    chart.chart_data.categories.clear()
    chart.chart_data.series.clear()

    wb = chart.chart_data.chart_data_workbook

    wb.clear(0)

    #branch 1
    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C1", "Leaf1"))
    leaf.grouping_levels.set_grouping_item(1, "Stem1")
    leaf.grouping_levels.set_grouping_item(2, "Branch1")

    chart.chart_data.categories.add(wb.get_cell(0, "C2", "Leaf2"))

    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C3", "Leaf3"))
    leaf.grouping_levels.set_grouping_item(1, "Stem2")

    chart.chart_data.categories.add(wb.get_cell(0, "C4", "Leaf4"))

    #branch 2
    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C5", "Leaf5"))
    leaf.grouping_levels.set_grouping_item(1, "Stem3")
    leaf.grouping_levels.set_grouping_item(2, "Branch2")

    chart.chart_data.categories.add(wb.get_cell(0, "C6", "Leaf6"))

    leaf = chart.chart_data.categories.add(wb.get_cell(0, "C7", "Leaf7"))
    leaf.grouping_levels.set_grouping_item(1, "Stem4")

    chart.chart_data.categories.add(wb.get_cell(0, "C8", "Leaf8"))

    series = chart.chart_data.series.add(charts.ChartType.SUNBURST)
    series.labels.default_data_label_format.show_category_name = True
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D1", 4))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D2", 5))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D3", 3))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D4", 6))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D5", 9))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D6", 9))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D7", 4))
    series.data_points.add_data_point_for_sunburst_series(wb.get_cell(0, "D8", 3))

    pres.save("Sunburst-8.pptx", slides.export.SaveFormat.PPTX)

Creating Histogram Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add some chart with some data and specify your preferred chart type (ChartType.HISTOGRAM in this case).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Write the modified presentation to a PPTX file

This Python code shows you how to create an histogram chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(charts.ChartType.HISTOGRAM, 50, 50, 500, 400)
    chart.chart_data.categories.clear()
    chart.chart_data.series.clear()

    wb = chart.chart_data.chart_data_workbook

    wb.clear(0)

    series = chart.chart_data.series.add(charts.ChartType.HISTOGRAM)
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A1", 15))
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A2", -41))
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A3", 16))
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A4", 10))
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A5", -23))
    series.data_points.add_data_point_for_histogram_series(wb.get_cell(0, "A6", 16))

    chart.axes.horizontal_axis.aggregation_type = charts.AxisAggregationType.AUTOMATIC

    pres.save("Histogram-9.pptx", slides.export.SaveFormat.PPTX)

Creating Radar Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with some data and specify your preferred chart type (ChartType.RADAR in this case).
  4. Write the modified presentation to a PPTX file

This Python code shows you how to create a radar chart:

import aspose.slides as slides

with slides.Presentation() as pres:
    pres.slides[0].shapes.add_chart(slides.charts.ChartType.RADAR, 20, 20, 400, 300)
    pres.save("Radar-chart.pptx", slides.export.SaveFormat.PPTX)

Creating Multi Category Charts

  1. Create an instance of the Presentation class.
  2. Get a slide’s reference through its index.
  3. Add a chart with default data along with the desired type (ChartType.ClusteredColumn).
  4. Access the chart data IChartDataWorkbook.
  5. Clear the default series and categories.
  6. Add new series and categories.
  7. Add new chart data for the chart series.
  8. Write the modified presentation to a PPTX file.

This Python code shows you how to create a multicategory chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    slide = pres.slides[0]

    ch = pres.slides[0].shapes.add_chart(charts.ChartType.CLUSTERED_COLUMN, 100, 100, 600, 450)
    ch.chart_data.series.clear()
    ch.chart_data.categories.clear()


    fact = ch.chart_data.chart_data_workbook
    fact.clear(0)
    defaultWorksheetIndex = 0

    category = ch.chart_data.categories.add(fact.get_cell(0, "c2", "A"))
    category.grouping_levels.set_grouping_item(1, "Group1")
    category = ch.chart_data.categories.add(fact.get_cell(0, "c3", "B"))

    category = ch.chart_data.categories.add(fact.get_cell(0, "c4", "C"))
    category.grouping_levels.set_grouping_item(1, "Group2")
    category = ch.chart_data.categories.add(fact.get_cell(0, "c5", "D"))

    category = ch.chart_data.categories.add(fact.get_cell(0, "c6", "E"))
    category.grouping_levels.set_grouping_item(1, "Group3")
    category = ch.chart_data.categories.add(fact.get_cell(0, "c7", "F"))

    category = ch.chart_data.categories.add(fact.get_cell(0, "c8", "G"))
    category.grouping_levels.set_grouping_item(1, "Group4")
    category = ch.chart_data.categories.add(fact.get_cell(0, "c9", "H"))

    # Adding Series
    series = ch.chart_data.series.add(fact.get_cell(0, "D1", "Series 1"), charts.ChartType.CLUSTERED_COLUMN)

    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D2", 10))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D3", 20))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D4", 30))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D5", 40))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D6", 50))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D7", 60))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D8", 70))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, "D9", 80))
    # Save presentation with chart
    pres.save("AsposeChart_out-10.pptx", slides.export.SaveFormat.PPTX)

Creating Map Charts

A map chart is a visualization of an area containing data. Map charts are best used to compare data or values across geographical regions.

This Python code shows you how to create a map chart:

import aspose.slides as slides

with slides.Presentation() as pres:
    chart = pres.slides[0].shapes.add_chart(slides.charts.ChartType.MAP, 50, 50, 500, 400, False)
    pres.save("mapChart.pptx", slides.export.SaveFormat.PPTX)

Updating Charts

  1. Instantiate a Presentation class that represents the presentation containing the chart.
  2. Get a slide’s reference through its index.
  3. Traverse through all shapes to find the desired chart.
  4. Access the chart data worksheet.
  5. Modify the chart data series data by changing series values.
  6. Add a new series and populate the data in it.
  7. Write the modified presentation as a PPTX file.

This Python code shows you how to update a chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

# Instantiate Presentation class that represents PPTX file
with slides.Presentation(path + "ExistingChart.pptx") as pres:

    # Access first slideMarker
    sld = pres.slides[0]

    # Add chart with default data
    chart = sld.shapes[0]

    # Setting the index of chart data sheet
    defaultWorksheetIndex = 0

    # Getting the chart data worksheet
    fact = chart.chart_data.chart_data_workbook


    # Changing chart Category Name
    fact.get_cell(defaultWorksheetIndex, 1, 0, "Modified Category 1")
    fact.get_cell(defaultWorksheetIndex, 2, 0, "Modified Category 2")


    # Take first chart series
    series = chart.chart_data.series[0]

    # Now updating series data
    fact.get_cell(defaultWorksheetIndex, 0, 1, "New_Series1")# Modifying series name
    series.data_points[0].value.data = 90
    series.data_points[1].value.data = 123
    series.data_points[2].value.data = 44

    # Take Second chart series
    series = chart.chart_data.series[1]

    # Now updating series data
    fact.get_cell(defaultWorksheetIndex, 0, 2, "New_Series2")# Modifying series name
    series.data_points[0].value.data = 23
    series.data_points[1].value.data = 67
    series.data_points[2].value.data = 99


    # Now, Adding a new series
    chart.chart_data.series.add(fact.get_cell(defaultWorksheetIndex, 0, 3, "Series 3"), chart.type)

    # Take 3rd chart series
    series = chart.chart_data.series[2]

    # Now populating series data
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 1, 3, 20))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 2, 3, 50))
    series.data_points.add_data_point_for_bar_series(fact.get_cell(defaultWorksheetIndex, 3, 3, 30))

    chart.type = charts.ChartType.CLUSTERED_CYLINDER

    # Save presentation with chart
    pres.save("AsposeChartModified_out-11.pptx", slides.export.SaveFormat.PPTX)

Setting Data Range for Charts

  1. Instantiate a Presentation class that represents the presentation containing the chart.
  2. Get a slide’s reference through its index.
  3. Traverse through all shapes to find the desired chart.
  4. Access the chart data and set the range.
  5. Save the modified presentation as a PPTX file.

This Python code shows you how to set the data range for a chart:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

# Instantiate Presentation class that represents PPTX file
with slides.Presentation(path + "ExistingChart.pptx") as presentation:
    # Access first slideMarker and add chart with default data
    slide = presentation.slides[0]
    chart = slide.shapes[0]
    chart.chart_data.set_range("Sheet1!A1:B4")
    presentation.save("SetDataRange_out-12.pptx", slides.export.SaveFormat.PPTX)

Using Default Markers in Charts

When you use a default marker in charts, each chart series get different default marker symbols automatically.

This Python code shows you how to set a chart series market automatically:

import aspose.slides.charts as charts
import aspose.slides as slides
import aspose.pydrawing as draw

with slides.Presentation() as pres:
    slide = pres.slides[0]
    chart = slide.shapes.add_chart(charts.ChartType.LINE_WITH_MARKERS, 10, 10, 400, 400)

    chart.chart_data.series.clear()
    chart.chart_data.categories.clear()

    fact = chart.chart_data.chart_data_workbook
    chart.chart_data.series.add(fact.get_cell(0, 0, 1, "Series 1"), chart.type)
    series = chart.chart_data.series[0]

    chart.chart_data.categories.add(fact.get_cell(0, 1, 0, "C1"))
    series.data_points.add_data_point_for_line_series(fact.get_cell(0, 1, 1, 24))
    chart.chart_data.categories.add(fact.get_cell(0, 2, 0, "C2"))
    series.data_points.add_data_point_for_line_series(fact.get_cell(0, 2, 1, 23))
    chart.chart_data.categories.add(fact.get_cell(0, 3, 0, "C3"))
    series.data_points.add_data_point_for_line_series(fact.get_cell(0, 3, 1, -10))
    chart.chart_data.categories.add(fact.get_cell(0, 4, 0, "C4"))
    series.data_points.add_data_point_for_line_series(fact.get_cell(0, 4, 1, None))

    chart.chart_data.series.add(fact.get_cell(0, 0, 2, "Series 2"), chart.type)
    #Take second chart series
    series2 = chart.chart_data.series[1]

    #Now populating series data
    series2.data_points.add_data_point_for_line_series(fact.get_cell(0, 1, 2, 30))
    series2.data_points.add_data_point_for_line_series(fact.get_cell(0, 2, 2, 10))
    series2.data_points.add_data_point_for_line_series(fact.get_cell(0, 3, 2, 60))
    series2.data_points.add_data_point_for_line_series(fact.get_cell(0, 4, 2, 40))

    chart.has_legend = True
    chart.legend.overlay = False

    pres.save("DefaultMarkersInChart-13.pptx", slides.export.SaveFormat.PPTX)