matplotlib-torch

Transparently pass PyTorch tensors (CPU, CUDA, MPS, with/without grad) to matplotlib. Avoid .detach().cpu().numpy() boilerplate.

import matplotlib_torch
matplotlib_torch.activate()

import matplotlib.pyplot as plt
import torch

plt.plot(torch.tensor([1., 2., 3.], device='cuda'))   # just works

Install

pip install matplotlib-torch

Metadata

Release files for matplotlib-torch 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for matplotlib-torch 0.1.0
File	Size	Uploaded
matplotlib_torch-0.1.0.tar.gz	2.8 kB	Jun 25, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for matplotlib-torch 0.1.0
File	Interpreter	ABI	Platform	Reset
matplotlib_torch-0.1.0-py3-none-any.whl 2.3 kB Jun 25, 2026	Python 3	none	any	Details

Total release size: 5.2 kB

Release files / matplotlib_torch-0.1.0.tar.gz

Download URL	matplotlib_torch-0.1.0.tar.gz
Size	2.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`2cde4e4eb6f9e2feda440b96683a783d7a47182504d1a2f14c4def5365d79974`
BLAKE2b-256 checksum How to use checksums	`2b0005270ec7f8ac72ed56add0998abb6da27df4791a0033eb84049b80e8b16f`
Upload date	Jun 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.1`

Release files / matplotlib_torch-0.1.0-py3-none-any.whl

Download URL	matplotlib_torch-0.1.0-py3-none-any.whl
Size	2.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`600fb7f6fee92f7075508992e466ae9a0799a3a7c84927c74fb53dd2ba07442d`
BLAKE2b-256 checksum How to use checksums	`2dc1cb53811621cf706748bcbd0937831716744ce61aa9fca71eb3d2d60944d9`
Upload date	Jun 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.1`

Release history Release notifications | RSS feed

This release

0.1.0 This release

Jun 25, 2026 2 release files

matplotlib-torch 0.1.0