A Python package for visualizing large, high-dimensional data sets.

Project description

tmap

tmap is a very fast visualization library for large, high-dimensional data sets. Currently, tmap is available for Python. tmaps graph layouts are based on the OGDF library.

Tutorial and Documentation

See http://tmap.gdb.tools

Notebook

Examples

Name	Description
NIPS Conference Papers	A tmap visualization showing the linguistic relationship between NIPS conference papers.	view
Project Gutenberg	A tmap visualization of the linguistic relationships between books and authors extracted from Project Gutenberg.	view
MNIST	A visualization of the well known MNIST data set. No further explanation needed.	view
Fashion MNIST	A visualization of a more fashionable variant of MNIST.	view
Drugbank	A tmap visualization of all drugs registered in Drugbank.	view
RNAseq	RNA sequencing data of tumor samples. Visualized using tmap.	view
Flowcytometry	Flowcytometry data visualized using tmap.	view
MiniBooNE	tmap data visualization of a particle detection physics experiment.	view

Availability

Language	Operating System	Status
Python	Linux	Available
	Windows	Available¹
	macOS	Available
R		Unvailable²

¹Works with WSL
²FOSS R developers wanted!

Installation

tmap is installed using the conda package manager. Don't have conda? Download miniconda.

conda install -c tmap tmap

We suggest using faerun to plot the data layed out by tmap. But you can of course also use matplotlib (which might be to slow for large data sets and doesn't provide interactive features).

pip install faerun
# pip install matplotlib

Project details

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This version

1.0.16

May 25, 2022

1.0.15

May 25, 2022

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tmap-viz 1.0.16

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tmap

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