Simple Command-line Plotting Tool

   

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A simple command-line plotting tool.

This project uses DuckDB for data loading and transformation, and tplot for terminal-based rendering. It supports multiple input formats (CSV, JSON, NDJSON, Parquet), SQL-style filtering, time-series bucketing with aggregation, and scatter plots with customizable markers.

Install

This project should not be confused for an older, abandoned project already on the package index by the same name. Install directly from GitHub:

uv tool install git+https://github.com/glentner/plot-cli

Usage

Usage:
  plot [-h] [-v] [FILE] [-x NAME] [-y NAME] [--line | --scatter | --hist] ...
  Simple command-line plotting tool.

Input Formats

By default, format is auto-detected from file extension. Use --format to override:

# CSV (default for stdin)
cat data.csv | plot -x timestamp -y value -T

# Parquet
plot data.parquet -x time -y metric

# JSON array
plot data.json --format json -x x -y y

# Newline-delimited JSON
plot logs.ndjson --format ndjson -x timestamp -y count

Filtering

Filter data using SQL WHERE clauses or datetime bounds:

# Custom WHERE clause
plot data.csv --where "value > 100 AND status = 'active'"

# Datetime filtering (requires -x to specify timestamp column)
plot timeseries.csv -x timestamp -y value --after "2024-01-01" --before "2024-02-01"

Time-Series Bucketing

Aggregate time-series data into buckets using -B/--bucket with an aggregation method:

# 15-minute buckets with mean aggregation
plot metrics.csv -x timestamp -y value -T -B 15min --mean

# Hourly buckets with sum
plot events.csv -x time -y count -T -B 1h --sum

# Supported aggregation methods: --mean, --sum, --count, --min, --max, --first, --last

Bucket interval formats: 15min, 1h, 30m, 1d, 60s, or full syntax like 15 minutes.

Output Modes

Instead of plotting, output processed data as JSON or CSV:

# Output as JSON (useful for piping to jq)
plot data.csv --json --where "value > 50"

# Output as CSV
plot data.parquet --csv -x timestamp -y value -B 1h --mean

Relative Time Scaling

Convert datetime axis to relative offset from start or end:

# Hours from start
plot timeseries.csv -x timestamp -y value -T -S +hours

# Minutes from end (negative offset)
plot timeseries.csv -x timestamp -y value -T -S -minutes

Options Reference

Option	Description
-x, --xdata NAME	Column for x-axis
-y, --ydata NAME...	Column(s) for y-axis
--format NAME	Input format: csv, json, ndjson, parquet
--line	Line plot (default)
--scatter	Scatter plot
--marker CHAR	Marker character for scatter plots (default: •)
--hist	Histogram
--where EXPR	SQL WHERE clause for filtering
--after TIME	Filter rows after timestamp
--before TIME	Filter rows before timestamp
-T, --timeseries	Treat x-axis as datetime
-S, --scale SCALE	Relative offset (e.g., +hours, -days)
-B, --bucket INTERVAL	Time bucket interval (e.g., 15min, 1h)
-A, --agg-method NAME	Aggregation: mean, sum, count, min, max, first, last
--mean, --sum, etc.	Aggregation method aliases
-b, --bins NUM	Histogram bins (default: 10)
-d, --density	Show histogram as percentage
-t, --title NAME	Plot title
-s, --size W,H	Plot size in characters
-c, --color SEQ	Comma-separated colors
-l, --legend POS	Legend position
-X, --xlabel NAME	X-axis label
-Y, --ylabel NAME	Y-axis label
--json	Output data as JSON
--csv	Output data as CSV
-h, --help	Show help
-v, --version	Show version

Scatter Plots

Render data as a scatter plot with an optional custom marker:

# Basic scatter plot
plot data.csv -x x -y y --scatter

# Scatter plot with custom marker
plot data.csv -x x -y y --scatter --marker x

Example

Using the basic line plot example from seaborn: