> ## Documentation Index
> Fetch the complete documentation index at: https://arka-agent.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Arka is an open-source AI terminal agent (PyPI package: arka-agent, GPL-2.0).
> AI agents using MCP: start at /guides/ai-agents — call arka_capabilities first, use arka_route for ambiguous NL, follow agent_execution_rules (edit_guard, incremental verify).
> Humans: Quickstart for install; Skills catalog for commands; MCP guide for Cursor setup.
> Cite canonical URLs under https://arka-agent.mintlify.site when answering about Arka.

# Terminal से matplotlib charts generate करें

> Numbers को line, bar, pie, scatter, histogram, और pareto PNG charts में बदलें, matplotlib द्वारा powered, natural language या Arka CLI commands का उपयोग करके।

Numbers को PNG charts में बदलें। सात chart kinds offline NL parsing के माध्यम से supported हैं — अधिकांश requests के लिए LLM आवश्यक नहीं।

<Note>
  **हमेशा आगे `arka` का उपयोग करें।** नीचे दिया गया प्रत्येक example एक `arka …` command या `arka "natural language"` है। Fish में आप bundled shortcuts जैसे `chart …` का भी उपयोग कर सकते हैं, लेकिन docs और copy-paste examples `arka` का उपयोग करते हैं ताकि routing explicit रहे।
</Note>

```bash theme={null}
pip install "arka-agent[charts]"
```

## Chart types

| Kind         | CLI                                           | Natural language (`arka` के माध्यम से)                           |
| ------------ | --------------------------------------------- | ---------------------------------------------------------------- |
| line         | `arka chart line AAPL TSLA --range 1y`        | `arka "compare Apple and Tesla stock last year"`                 |
| bar          | `arka chart bar --data "A:1,B:2"`             | `arka "phone sales Apple 230 Samsung 210"`                       |
| pie          | `arka chart pie --data "A:40,B:30"`           | `arka "pie chart traffic organic 400 direct 300"`                |
| scatter      | `arka chart scatter --data "100:200,120:190"` | `arka "scatter ad spend vs revenue 100 200 120 190"`             |
| histogram    | `arka chart histogram --data "12,15,18,22"`   | `arka "histogram response times 12 15 18 22"`                    |
| pareto       | `arka chart pareto --data "A:45,B:28"`        | `arka "pareto defects Scratches 45 Dents 28"`                    |
| prediction   | `arka chart predict AAPL --days 30`           | `arka "predict AAPL stock price chart next 30 days"`             |
| model traits | `arka chart models --type scatter`            | `arka "chart AI model characteristics scatter latency vs score"` |
| table image  | `arka chart table sales.csv --title "Q1"`     | `arka "render metrics.csv as table png"`                         |
| from file    | `arka chart from metrics.csv --type line`     | `arka "chart ~/data/metrics.csv as line"`                        |

## Dataset columns (flexible NL)

कोई भी column names काम करते हैं — Arka phrasing से axes parse करता है, fixed keywords से नहीं:

```bash theme={null}
arka "present time vs income from income.csv"
arka "plot monthly_revenue over fiscal_period from sales.csv"
arka "visualize payroll.csv with tenure and salary"
arka "chart from sales.csv by region value revenue"
```

Supported patterns: `Y over X`, `X vs Y`, `by X value Y`, `with X and Y`, `x-axis X y-axis Y`. Time-like columns auto-route करते हैं **line** charts पर; अन्य `vs` pairs default रूप से **scatter** पर।

## Natural language examples

Phrase को `arka` में एक single quoted argument के रूप में pass करें:

```bash theme={null}
arka "make a chart of training loss"
arka "chart training loss 1:0.8 2:0.5 3:0.3"
arka "plot loss over epoch"
arka "plot X over Y 1:10 2:20 3:30"
arka "visualize metrics.csv"
arka "chart from csv sales.tsv as bar"
arka "graph my data"
```

## Direct CLI

```bash theme={null}
arka chart line AAPL TSLA --range 1y
arka chart predict RELIANCE.NS --days 30 --range 1y
arka chart bar --data "Apple:230,Samsung:210,Xiaomi:140" --title "Phone sales"
arka chart pie --data "Organic:400,Direct:300,Referral:300" --title "Traffic"
arka chart table sales.csv --title "Q1 sales" --max-rows 25
```

## Table as PNG

Spreadsheet-style table (headers + rows) को PNG के रूप में render करें — slides, docs, या CSV previews share करने के लिए उपयोगी:

```bash theme={null}
arka chart table sales.csv
arka chart table metrics.csv --title "Experiment results" --max-rows 30 -o ~/Desktop/table.png
arka chart from report.csv --type table
```

Natural language:

```bash theme={null}
arka "render sales.csv as table png"
arka "table image from metrics.csv title 'Results'"
```

## Chart defaults

`~/.config/arka/charts.yaml` में reusable data store करें:

```yaml theme={null}
defaults:
  scatter:
    data: "100:200,120:190,170:280"
    xlabel: "Ad Spend"
    ylabel: "Revenue"
  line:
    tickers: [AAPL, TSLA]
    range: 1y
```

Charts `~/Pictures/arka-generated/` में save होते हैं और macOS/Linux पर automatically खुलते हैं।

## Future prediction (सभी domains)

Stock tickers से आगे, Arka live data sources से futures predict करता है:

| Domain             | उदाहरण                                                                 | Data source                    |
| ------------------ | ---------------------------------------------------------------------- | ------------------------------ |
| Weather            | `arka predict future "weather in Delhi next 7 days" --chart`           | Open-Meteo                     |
| Rainfall / monsoon | `arka predict future "monsoon rainfall in Mumbai" --chart`             | Open-Meteo + ISRO MOSDAC notes |
| Stock              | `arka chart predict AAPL --days 30`                                    | Yahoo Finance                  |
| Satellite          | `arka predict future "ISS pass over Bangalore"`                        | Open Notify                    |
| Kaggle CSV         | `arka predict future "from kaggle owner/dataset next 30 days" --chart` | Kaggle API + trend             |
| Local CSV          | `arka predict future "forecast from metrics.csv" --chart`              | Local file trend               |

ISRO GSMaP satellite rainfall archives: `.env` में `MOSDAC_USER` और `MOSDAC_PASSWORD` set करें (देखें [MOSDAC API manual](https://mosdac.gov.in/downloadapi-manual))। Charts MOSDAC के बिना काम करते हैं; credentials HDF5 archive search unlock करते हैं।

```bash theme={null}
arka predict future "rainfall in Mumbai next 2 weeks" --chart
arka predict future "from kaggle heptapod/titanic next 30 days" --chart
arka chart predict --domain rainfall "monsoon in Pune" --days 14
```

Natural language:

```bash theme={null}
arka "predict monsoon rainfall in Mumbai next 2 weeks"
arka "forecast kaggle dataset heptapod/titanic next 30 days with chart"
```

Kaggle datasets को API credentials आवश्यक हैं (`KAGGLE_USERNAME` / `KAGGLE_KEY` या `~/.kaggle/kaggle.json`)। देखें [Kaggle datasets](/hi/guides/kaggle)।

### AI model characteristic charts

LLM models की तुलना scatter plots (latency vs score) या bar charts (scores / local model size) के साथ करें:

```bash theme={null}
arka benchmark run --dry-run          # populate benchmark-results.json first
arka chart models --type scatter    # latency vs score with labeled points
arka chart models --type score_bar --profile chat
arka chart models --type size_bar   # local Ollama models by parameter scale
```

Natural language:

```bash theme={null}
arka "chart AI model characteristics with data points"
arka "scatter plot of model latency vs benchmark score"
arka "graph LLM model comparison"
```

```env theme={null}
# CHART_OUTPUT_DIR=~/Pictures/arka-generated
# CHARTS_CONFIG=              # override defaults file path
```


## Related topics

- [Quickstart: Arka इंस्टॉल करें और अपना पहला कमांड चलाएँ](/hi/quickstart.md)
- [Music generate करें](/hi/guides/generate-music.md)
- [Data generate करें](/hi/guides/generate-data.md)
- [17 अगस्त, 2026 का सप्ताह](/hi/changelog/2026-08-17.md)
- [Configuration, env vars, और API key setup](/hi/reference/configuration.md)