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।

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।

pip install "arka-agent[charts]"

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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"

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Dataset columns (flexible NL)

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

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।

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Natural language examples

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

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"

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Direct CLI

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

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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:

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:

arka "render sales.csv as table png"
arka "table image from metrics.csv title 'Results'"

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Chart defaults

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

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।

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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)। Charts MOSDAC के बिना काम करते हैं; credentials HDF5 archive search unlock करते हैं।

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:

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।

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AI model characteristic charts

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

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:

arka "chart AI model characteristics with data points"
arka "scatter plot of model latency vs benchmark score"
arka "graph LLM model comparison"

# CHART_OUTPUT_DIR=~/Pictures/arka-generated
# CHARTS_CONFIG=              # override defaults file path