Description
A basic line plot for visualizing trends and continuous data over a sequence (time, index, etc.).
Use Cases
- Time series: Stock prices, temperature over days, website traffic
- Trend analysis: Sales progression, performance metrics over time
- Sequential data: Any continuous variable plotted against an ordered sequence
Expected Features
- Single line connecting data points
- Clear axis labels (X: sequence/time, Y: values)
- Optional markers at data points
- Grid lines for readability
- Legend support for future multi-line extensions
Sample Data Structure
# Simple sequential data
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [2.3, 3.1, 4.5, 4.2, 5.8, 6.1, 5.9, 7.2, 8.1, 7.8]
Visual Requirements
- Clean, minimal design
- Line width: 2px (or equivalent)
- Figure size: 10x6 inches
- Title: 'Line Plot'
- X-axis label: 'X'
- Y-axis label: 'Y'
Priority
High - This is a fundamental plot type that should be available across all 9 libraries.
Implementation Status
| Library |
Status |
Score |
PR |
Attempts |
| matplotlib |
✅ Merged |
95 |
- |
2/3 |
| seaborn |
✅ Merged |
92 |
- |
2/3 |
| plotly |
✅ Merged |
90 |
- |
1/3 |
| bokeh |
✅ Merged |
92 |
- |
2/3 |
| altair |
✅ Merged |
92 |
- |
1/3 |
| plotnine |
✅ Merged |
92 |
- |
1/3 |
| pygal |
✅ Merged |
78 |
- |
1/3 |
| highcharts |
✅ Merged |
25 |
- |
1/3 |
Last updated: 2025-12-07 21:18 UTC
Description
A basic line plot for visualizing trends and continuous data over a sequence (time, index, etc.).
Use Cases
Expected Features
Sample Data Structure
Visual Requirements
Priority
High - This is a fundamental plot type that should be available across all 9 libraries.
Implementation Status
Last updated: 2025-12-07 21:18 UTC