Beautify meta-analysis forest plots with customizable odds ratio points and confidence intervals
ID: 157
Beautifies Meta-analysis or subgroup analysis forest plots, customizes Odds Ratio point sizes and confidence interval line styles.
python scripts/main.py --input <data.csv> [options]
| Parameter | Type | Default | Required | Description |
|---|
--input, -i | string | - | Yes | Input data file (CSV or Excel) |
--output, -o | string | forest_plot.png | No | Output file path |
--format, -f | string | png | No | Output format (png/pdf/svg) |
--point-size | int | 8 | No | OR point size |
--point-color | string | #2E86AB | No | OR point color |
--ci-color | string | #2E86AB | No | Confidence interval line color |
--ci-linewidth | int | 2 | No | Confidence interval line thickness |
--ci-capwidth | int | 5 | No | Confidence interval endpoint width |
--summary-color | string | #A23B72 | No | Pooled effect point color |
--summary-shape | string | diamond | No | Pooled effect point shape |
--subgroup | string | - | No | Subgroup analysis column name |
--title, -t | string | Forest Plot | No | Chart title |
--xlabel, -x | string | Odds Ratio (95% CI) | No | X-axis label |
--reference-line | float | 1.0 | No | Reference line position |
--width, -W | int | 12 | No | Image width (inches) |
--height, -H | int | auto | No | Image height (inches) |
--dpi | int | 300 | No | Image resolution |
--font-size | int | 10 | No | Font size |
--style, -s | string | default | No | Preset style (default/minimal/dark) |
CSV/Excel files must contain the following columns:
| Column Name | Description | Type |
|---|---|---|
study | Study name | Text |
or | Odds Ratio value | Numeric |
ci_lower | Confidence interval lower bound | Numeric |
ci_upper | Confidence interval upper bound | Numeric |
weight | Weight (optional, for point size) | Numeric |
subgroup | Subgroup label (optional) | Text |
study,or,ci_lower,ci_upper,weight,subgroup
Study A,0.85,0.65,1.12,15.2,Drug A
Study B,0.72,0.55,0.94,18.5,Drug A
Study C,1.15,0.88,1.50,12.3,Drug B
Study D,0.95,0.75,1.20,14.8,Drug B
python scripts/main.py -i meta_data.csv
python scripts/main.py -i meta_data.csv \
--point-color="#E63946" \
--ci-color="#457B9D" \
--point-size=10 \
--ci-linewidth=3 \
-t "Meta-Analysis of Treatment Effects"
python scripts/main.py -i meta_data.csv \
--subgroup subgroup_column \
--summary-color="#F4A261" \
-o subgroup_forest.png
python scripts/main.py -i meta_data.csv \
-f pdf \
-o forest_plot.pdf
Generated forest plot contains:
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
# Python dependencies
pip install -r requirements.txt