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Use when the user asks to visualize tabular data, prod...\n\nTags: latest:1.1.0\n\nVersion history:\n\nv1.1.0 | 2026-04-04T16:14:58.944Z | user\n\nv1.1.0 — New chart types, multi-series, and BI improvements\n\n- Added 5 new chart types: hbar, pie, stacked, scatter, area\n- Multi-series support via comma-separated --ycol (e.g. Sales,Costs)\n- Grouped bars for multi-series bar/hbar (no more overlap)\n- --top N: keep top N categories; pie aggregates remainder into \"Other\"\n- --sort: explicit sort modes (x-asc, x-desc, y-desc, none)\n- --numfmt: human-readable Y axis with FR (1,5M) or EN (1.5M) formatting\n- SVG output support (detected from --out extension)\n- Accounting negatives (1,234.56) now parsed correctly\n- Self-contained setup instructions in SKILL.md\n- Fixed crash when --out is a filename without directory\n\nv1.0.0 | 2026-03-23T08:53:06.615Z | user\n\nInitial release — PNG charts from CSV via matplotlib, auto-detect delimiters, European/US number formats\n\nArchive index:\n\nArchive v1.1.0: 4 files, 7004 bytes\n\nFiles: scripts/chart_mpl.py (12756b), skill-card.md (1782b), SKILL.md (3223b), _meta.json (128b)\n\nFile v1.1.0:SKILL.md\n\n---\nname: chart-mpl\nversion: 1.1.0\ndescription: Generate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib. Use when the user asks to visualize tabular data, produce BI-ready chart images, or compare multiple series.\nmetadata: { \"openclaw\": { \"emoji\": \"CH\", \"requires\": { \"bins\": [\"python3\"] } } }\n---\n\n# Chart MPL\n\nGenerate chart images from CSV files with `scripts/chart_mpl.py`.\n\n## Setup\n\nCreate a virtual environment and install matplotlib (one-time):\n\n```bash\npython3 -m venv ~/.openclaw/workspace/.venv_chart\n~/.openclaw/workspace/.venv_chart/bin/pip install matplotlib\n```\n\n## Quick start\n\nRun from workspace root:\n\n```bash\n~/.openclaw/workspace/.venv_chart/bin/python skills/chart-mpl/scripts/chart_mpl.py \\\n  --csv /path/to/data.csv \\\n  --xcol Mois \\\n  --ycol Valeur \\\n  --kind line \\\n  --title \"Monthly trend\" \\\n  --xlabel \"Month\" \\\n  --ylabel \"Value\"\n```\n\nOutput defaults to:\n`~/.openclaw/workspace/exports/images`\n\n## Inputs\n\n- `--csv` path to CSV file\n- `--xcol` column for X axis\n- `--ycol` numeric column(s) for Y axis — comma-separated for multi-series (e.g. `Sales,Costs`)\n- `--kind` chart type: `line`, `bar`, `hbar`, `pie`, `stacked`, `scatter`, `area`\n- Optional: `--delim` if auto-detection fails (`;`, `,`, `\\t`, `|`)\n- Optional: `--out` custom output path (PNG or SVG — format detected from extension)\n- Optional: `--title`, `--xlabel`, `--ylabel`\n- Optional: `--top N` show only top N categories by value (bar, hbar, pie, stacked). Multi-series ranks by row total.\n- Optional: `--sort` sort data before plotting: `x-asc`, `x-desc`, `y-desc`, `none` (default: `none`)\n- Optional: `--numfmt` number format on Y axis: `fr` (1,5M) or `en` (1.5M) — default: `fr`\n\n## Chart types\n\n| Kind      | Description                          | Multi-series |\n|-----------|--------------------------------------|:------------:|\n| `line`    | Line chart with markers              | yes          |\n| `bar`     | Vertical bar chart (grouped when multi-series) | yes          |\n| `hbar`    | Horizontal bar chart (grouped when multi-series) | yes          |\n| `pie`     | Pie chart (first Y column only)      | no           |\n| `stacked` | Stacked vertical bar (requires 2+ Y) | yes          |\n| `scatter` | Scatter plot                         | yes          |\n| `area`    | Filled area chart                    | yes          |\n\n## Notes\n\n- Script auto-detects delimiters when possible.\n- Script tolerates European and US numeric formats (`1 234,56`, `1,234.56`).\n- Non-numeric values in `ycol` are converted to `NaN` with a warning.\n- Handles BOM-encoded CSV files (`utf-8-sig`).\n- Multi-series charts automatically show a legend and cycle through an 8-color palette.\n- Y-axis ticks use human-readable formatting (K, M, G suffixes) with French or English decimals.\n- `--top N` keeps the N highest categories. For pie charts, the remainder is aggregated into an \"Other\" slice. For bar/hbar/stacked, the rest are excluded.\n- Output format (PNG or SVG) is detected from the `--out` file extension. Default is PNG.\n\n## End-to-end flow with SQL skill\n\n1. Export query result to CSV using the `mssql` skill.\n2. Run this script on that CSV.\n3. Share the generated PNG path.\n\nFile v1.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn71mmn1vst817r9622exn54vn83fw03\",\n  \"slug\": \"chart-mpl\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1775319298944\n}\n\nFile v1.1.0:skill-card.md\n\n## Description:\n\nGenerate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[0xvespertine](https://clawhub.ai/user/0xvespertine)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and agent workflows use this skill to turn CSV data into BI-ready PNG or SVG chart images for visualization, reporting, and multi-series comparison.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The setup instructions install an unpinned matplotlib dependency into a reusable virtual environment.\n\nMitigation: Install from a trusted Python package index and pin matplotlib and dependencies when reproducibility or supply-chain control matters.\n\nRisk: CSV contents and generated chart paths may reveal sensitive source data.\n\nMitigation: Run the script only on intended CSV files and review generated image paths before sharing outputs.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/0xvespertine/skills/chart-mpl)\n\n## Skill Output:\n\n**Output Type(s):** [shell commands, code, files, guidance]\n\n**Output Format:** [Markdown with inline bash commands and generated PNG or SVG chart file paths]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Generated chart files are written to a requested output path or the default workspace exports/images directory.]\n\n## Skill Version(s):\n\n1.1.0 (source: frontmatter and release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.0: 3 files, 3102 bytes\n\nFiles: scripts/chart_mpl.py (4438b), SKILL.md (1446b), _meta.json (128b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: chart-mpl\nversion: 1.0.0\ndescription: Generate clear PNG charts from CSV data using matplotlib. Use when the user asks to visualize tabular data, turn SQL/CSV output into line or bar charts, or produce quick BI-ready chart images.\nmetadata: { \"openclaw\": { \"emoji\": \"CH\", \"requires\": { \"bins\": [\"python3\"] } } }\n---\n\n# Chart MPL\n\nGenerate chart images from CSV files with `scripts/chart_mpl.py`.\n\n## Quick start\n\nRun from workspace root:\n\n```bash\n~/.openclaw/workspace/.venv_chart/bin/python skills/chart-mpl/scripts/chart_mpl.py \\\n  --csv /path/to/data.csv \\\n  --xcol Mois \\\n  --ycol Valeur \\\n  --kind line \\\n  --title \"Monthly trend\" \\\n  --xlabel \"Month\" \\\n  --ylabel \"Value\"\n```\n\nOutput defaults to:\n`~/.openclaw/workspace/exports/images`\n\n## Inputs\n\n- `--csv` path to CSV file\n- `--xcol` column for X axis\n- `--ycol` numeric column for Y axis\n- `--kind` `line` or `bar`\n- Optional: `--delim` if auto-detection fails (`;`, `,`, `\\t`, `|`)\n- Optional: `--out` custom output path\n- Optional: `--title`, `--xlabel`, `--ylabel`\n\n## Notes\n\n- Script auto-detects delimiters when possible.\n- Script tolerates European and US numeric formats (`1 234,56`, `1,234.56`).\n- Non-numeric values in `ycol` are converted to `NaN` with a warning.\n- Handles BOM-encoded CSV files (`utf-8-sig`).\n\n## End-to-end flow with SQL skill\n\n1. Export query result to CSV using the `mssql` skill.\n2. Run this script on that CSV.\n3. Share the generated PNG path.\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn71mmn1vst817r9622exn54vn83fw03\",\n  \"slug\": \"chart-mpl\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1774255986615\n}","readmeExcerpt":"Skill: Chart MPL Owner: 0xvespertine Summary: Generate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib. Use when the user asks to visualize tabular data, prod... Tags: latest:1.1.0 Version history: v1.1.0 | 2026-04-04T16:14:58.944Z | user v1.1.0 — New chart types, multi-series, and BI improvements - Added 5 new chart types: hbar, pie, stacked, scatter, area - Multi-series ","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python3 -m venv ~/.openclaw/workspace/.venv_chart\n~/.openclaw/workspace/.venv_chart/bin/pip install matplotlib"},{"language":"bash","snippet":"~/.openclaw/workspace/.venv_chart/bin/python skills/chart-mpl/scripts/chart_mpl.py \\\n  --csv /path/to/data.csv \\\n  --xcol Mois \\\n  --ycol Valeur \\\n  --kind line \\\n  --title \"Monthly trend\" \\\n  --xlabel \"Month\" \\\n  --ylabel \"Value\""},{"language":"bash","snippet":"~/.openclaw/workspace/.venv_chart/bin/python skills/chart-mpl/scripts/chart_mpl.py \\\n  --csv /path/to/data.csv \\\n  --xcol Mois \\\n  --ycol Valeur \\\n  --kind line \\\n  --title \"Monthly trend\" \\\n  --xlabel \"Month\" \\\n  --ylabel \"Value\""}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: chart-mpl\nversion: 1.1.0\ndescription: Generate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib. Use when the user asks to visualize tabular data, produce BI-ready chart images, or compare multiple series.\nmetadata: { \"openclaw\": { \"emoji\": \"CH\", \"requires\": { \"bins\": [\"python3\"] } } }\n---\n\n# Chart MPL\n\nGenerate chart images from CSV files with `scripts/chart_mpl.py`.\n\n## Setup\n\nCreate a virtual environment and install matplotlib (one-time):\n\n```bash\npython3 -m venv ~/.openclaw/workspace/.venv_chart\n~/.openclaw/workspace/.venv_chart/bin/pip install matplotlib\n```\n\n## Quick start\n\nRun from workspace root:\n\n```bash\n~/.openclaw/workspace/.venv_chart/bin/python skills/chart-mpl/scripts/chart_mpl.py \\\n  --csv /path/to/data.csv \\\n  --xcol Mois \\\n  --ycol Valeur \\\n  --kind line \\\n  --title \"Monthly trend\" \\\n  --xlabel \"Month\" \\\n  --ylabel \"Value\"\n```\n\nOutput defaults to:\n`~/.openclaw/workspace/exports/images`\n\n## Inputs\n\n- `--csv` path to CSV file\n- `--xcol` column for X axis\n- `--ycol` numeric column(s) for Y axis — comma-separated for multi-series (e.g. `Sales,Costs`)\n- `--kind` chart type: `line`, `bar`, `hbar`, `pie`, `stacked`, `scatter`, `area`\n- Optional: `--delim` if auto-detection fails (`;`, `,`, `\\t`, `|`)\n- Optional: `--out` custom output path (PNG or SVG — format detected from extension)\n- Optional: `--title`, `--xlabel`, `--ylabel`\n- Optional: `--top N` show only top N categories by value (bar, hbar, pie, stacked). Multi-series ranks by row total.\n- Optional: `--sort` sort data before plotting: `x-asc`, `x-desc`, `y-desc`, `none` (default: `none`)\n- Optional: `--numfmt` number format on Y axis: `fr` (1,5M) or `en` (1.5M) — default: `fr`\n\n## Chart types\n\n| Kind      | Description                          | Multi-series |\n|-----------|--------------------------------------|:------------:|\n| `line`    | Line chart with markers              | yes          |\n| `bar`     | Vertical bar chart (grouped when multi-series) | yes          |\n| `hbar`    | Horizontal bar chart (grouped when multi-series) | yes          |\n| `pie`     | Pie chart (first Y column only)      | no           |\n| `stacked` | Stacked vertical bar (requires 2+ Y) | yes          |\n| `scatter` | Scatter plot                         | yes          |\n| `area`    | Filled area chart                    | yes          |\n\n## Notes\n\n- Script auto-detects delimiters when possible.\n- Script tolerates European and US numeric formats (`1 234,56`, `1,234.56`).\n- Non-numeric values in `ycol` are converted to `NaN` with a warning.\n- Handles BOM-encoded CSV files (`utf-8-sig`).\n- Multi-series charts automatically show a legend and cycle through an 8-color palette.\n- Y-axis ticks use human-readable formatting (K, M, G suffixes) with French or English decimals.\n- `--top N` keeps the N highest categories. For pie charts, the remainder is aggregated into an \"Other\" slice. For bar/hbar/stacked, the rest are excluded.\n- Output format (PNG or SVG) "},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn71mmn1vst817r9622exn54vn83fw03\",\n  \"slug\": \"chart-mpl\",\n  \"version\": \"1.1.0\",\n  \"publishedAt\": 1775319298944\n}"},{"path":"skill-card.md","content":"## Description:\n\nGenerate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[0xvespertine](https://clawhub.ai/user/0xvespertine)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers, analysts, and agent workflows use this skill to turn CSV data into BI-ready PNG or SVG chart images for visualization, reporting, and multi-series comparison.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The setup instructions install an unpinned matplotlib dependency into a reusable virtual environment.\n\nMitigation: Install from a trusted Python package index and pin matplotlib and dependencies when reproducibility or supply-chain control matters.\n\nRisk: CSV contents and generated chart paths may reveal sensitive source data.\n\nMitigation: Run the script only on intended CSV files and review generated image paths before sharing outputs.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/0xvespertine/skills/chart-mpl)\n\n## Skill Output:\n\n**Output Type(s):** [shell commands, code, files, guidance]\n\n**Output Format:** [Markdown with inline bash commands and generated PNG or SVG chart file paths]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Generated chart files are written to a requested output path or the default workspace exports/images directory.]\n\n## Skill Version(s):\n\n1.1.0 (source: frontmatter and release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Generate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib. Use when the user asks to visualize tabular data, prod... Skill: Chart MPL Owner: 0xvespertine Summary: Generate PNG/SVG charts (line, bar, hbar, pie, stacked, scatter, area) from CSV data using matplotlib. Use when the user asks to visualize tabular data, prod... 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