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lexograph

Spatialize linear text into pictures you can read — in pure Python, rendered with matplotlib.

lexograph turns a text into a picture through one four-step spine: segment the text into ordered units (characters, tokens, or sentences), lay them out in 2-D or 3-D space, encode per-unit attributes onto visual channels (size, colour, glyph), and render a matplotlib figure. Each preset is just a point on that spine.

Presets

  • Punctuation spiral — non-alphanumeric marks along an Archimedean spiral, coloured by symbol class.
  • Text walk (2-D / 3-D) — sentences stepping forward and turning 90°, space-filling; the 3-D variant lifts into a corkscrew.
  • Recurrence dotplot — a sentence × sentence self-similarity grid: the text against itself.
  • Concordance — a term's dispersion across text and time, with optional KWIC.

The data contract

Every visual channel is fed by a plain per-unit array: a scalar array for size, an array of labels or values for colour, an optional glyph/font. The core never needs to know where the numbers came from — you can drive a figure from length, frequency, or your own column with no analysis stack at all.

Made by Crow Intelligence