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3 Chart Generation
ASecuritySub-skill of python-pptx: 3. Chart Generation.
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- Added September 9, 2026
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[](https://www.skillsdirectory.com/skills/vamseeachanta-3-chart-generation-workspace-hub)---
name: python-pptx-3-chart-generation
description: 'Sub-skill of python-pptx: 3. Chart Generation.'
version: 1.0.0
category: data
type: reference
scripts_exempt: true
---
# 3. Chart Generation
## 3. Chart Generation
```python
"""
Create various chart types in PowerPoint presentations.
"""
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.chart.data import CategoryChartData, ChartData
from pptx.enum.chart import XL_CHART_TYPE, XL_LEGEND_POSITION
from pptx.dml.color import RgbColor
def create_chart_presentation(output_path: str) -> None:
"""Create presentation with various chart types."""
prs = Presentation()
# Slide 1: Column Chart
slide = prs.slides.add_slide(prs.slide_layouts[5]) # Title only
slide.shapes.title.text = "Quarterly Revenue"
# Chart data
chart_data = CategoryChartData()
chart_data.categories = ['Q1', 'Q2', 'Q3', 'Q4']
chart_data.add_series('2025', (1200, 1400, 1600, 1800))
chart_data.add_series('2026', (1500, 1750, 2000, 2200))
# Add chart
x, y, cx, cy = Inches(1), Inches(1.5), Inches(11), Inches(5.5)
chart = slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_CLUSTERED,
x, y, cx, cy,
chart_data
).chart
# Customize chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
chart.legend.include_in_layout = False
# Style the chart
plot = chart.plots[0]
plot.has_data_labels = True
data_labels = plot.data_labels
data_labels.font.size = Pt(10)
data_labels.number_format = '$#,##0'
# Slide 2: Line Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Monthly Trend Analysis"
chart_data = CategoryChartData()
chart_data.categories = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
chart_data.add_series('Sales', (100, 120, 140, 135, 160, 180))
chart_data.add_series('Target', (110, 120, 130, 140, 150, 160))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.LINE_MARKERS,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
# Slide 3: Pie Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Market Share Distribution"
chart_data = CategoryChartData()
chart_data.categories = ['Product A', 'Product B', 'Product C', 'Other']
chart_data.add_series('Share', (35, 30, 25, 10))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.PIE,
Inches(3), Inches(1.5), Inches(7), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.RIGHT
plot = chart.plots[0]
plot.has_data_labels = True
data_labels = plot.data_labels
data_labels.show_percentage = True
data_labels.show_value = False
data_labels.font.size = Pt(12)
# Slide 4: Bar Chart (Horizontal)
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Regional Performance"
chart_data = CategoryChartData()
chart_data.categories = ['North', 'South', 'East', 'West', 'Central']
chart_data.add_series('Revenue', (450, 380, 520, 420, 310))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.BAR_CLUSTERED,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = False
plot = chart.plots[0]
plot.has_data_labels = True
plot.data_labels.font.size = Pt(11)
plot.data_labels.number_format = '$#,##0K'
# Slide 5: Stacked Column Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Product Mix by Quarter"
chart_data = CategoryChartData()
chart_data.categories = ['Q1', 'Q2', 'Q3', 'Q4']
chart_data.add_series('Hardware', (400, 450, 500, 550))
chart_data.add_series('Software', (300, 350, 400, 450))
chart_data.add_series('Services', (200, 250, 300, 350))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_STACKED,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
# Slide 6: Doughnut Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Budget Allocation"
chart_data = CategoryChartData()
chart_data.categories = ['R&D', 'Marketing', 'Operations', 'Admin']
chart_data.add_series('Budget', (40, 25, 25, 10))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.DOUGHNUT,
Inches(3), Inches(1.5), Inches(7), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.RIGHT
prs.save(output_path)
print(f"Chart presentation saved to {output_path}")
create_chart_presentation("chart_presentation.pptx")
```
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