Multidimensional data analysis toolbox

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ericpre from gravatar.com ericpre Avatar for francisco_dlpm from gravatar.com francisco_dlpm Avatar for t.ostasevicius from gravatar.com t.ostasevicius

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: The HyperSpy developers
  • Tags EDX , EELS , EFTEM , EMSA , FEI , ICA , PCA , PES , STEM , TEM , curve fitting , data analysis , dm3 , electron energy loss spectroscopy , electron microscopy , emi , energy dispersive x-rays , hyperspectral , hyperspectrum , multidimensional , hyperspy , machine learning , microscopy , model , msa , numpy , python , quantification , scipy , ser , spectroscopy , spectrum image
  • Requires: Python ~=3.6
Classifiers
Report project as malware

Project description

Azure Travis Codecov rtd pypi_version python_version gitter

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays of a given signal (for example, a 2D array of spectra, also known as a spectrum image).

HyperSpy makes it straightforward to apply analytical procedures that operate on an individual signal to multidimensional arrays, as well as providing easy access to analytical tools that exploit the multidimensionality of the dataset.

Its modular structure makes it easy to add features to analyze many different types of signals.

HyperSpy is released under the GPL v3 license.

Since version 0.8.4, HyperSpy only supports Python 3. If you need to install HyperSpy in Python 2.7, please install version 0.8.3.

Contributing

Everyone is welcome to contribute. Please read our contributing guidelines and get started!

Cite

If you use HyperSpy in a scientific publication, please cite the following DOI:

DOI

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ericpre from gravatar.com ericpre Avatar for francisco_dlpm from gravatar.com francisco_dlpm Avatar for t.ostasevicius from gravatar.com t.ostasevicius

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL v3)
  • Author: The HyperSpy developers
  • Tags EDX , EELS , EFTEM , EMSA , FEI , ICA , PCA , PES , STEM , TEM , curve fitting , data analysis , dm3 , electron energy loss spectroscopy , electron microscopy , emi , energy dispersive x-rays , hyperspectral , hyperspectrum , multidimensional , hyperspy , machine learning , microscopy , model , msa , numpy , python , quantification , scipy , ser , spectroscopy , spectrum image
  • Requires: Python ~=3.6
Classifiers

Release history Release notifications | RSS feed

2.3.0

2.2.0

2.1.1

2.1.0

2.0.1

2.0

2.0rc0 pre-release

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

This version

1.6.0

1.5.2

1.5.1

1.5

1.4.2

1.4.1

1.4

1.3.2

1.3.1

1.3

1.2

1.1.2

1.1.1

1.1

1.0.1

1.0

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8

0.7.3

0.7.2

0.7.1

0.7

0.6

0.5.1

0.5

0.4.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyperspy-1.6.0.tar.gz (29.2 MB view details)

Uploaded Source

Built Distributions

hyperspy-1.6.0-cp38-cp38-win_amd64.whl (29.9 MB view details)

Uploaded CPython 3.8Windows x86-64

hyperspy-1.6.0-cp38-cp38-manylinux2010_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.12+ x86-64

hyperspy-1.6.0-cp38-cp38-manylinux1_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.8

hyperspy-1.6.0-cp38-cp38-macosx_10_14_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

hyperspy-1.6.0-cp37-cp37m-win_amd64.whl (29.9 MB view details)

Uploaded CPython 3.7mWindows x86-64

hyperspy-1.6.0-cp37-cp37m-manylinux2010_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

hyperspy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.7m

hyperspy-1.6.0-cp37-cp37m-macosx_10_14_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

hyperspy-1.6.0-cp36-cp36m-win_amd64.whl (29.9 MB view details)

Uploaded CPython 3.6mWindows x86-64

hyperspy-1.6.0-cp36-cp36m-manylinux2010_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

hyperspy-1.6.0-cp36-cp36m-manylinux1_x86_64.whl (30.2 MB view details)

Uploaded CPython 3.6m

hyperspy-1.6.0-cp36-cp36m-macosx_10_14_x86_64.whl (29.9 MB view details)

Uploaded CPython 3.6mmacOS 10.14+ x86-64

File details

Details for the file hyperspy-1.6.0.tar.gz.

File metadata

  • Download URL: hyperspy-1.6.0.tar.gz
  • Upload date:
  • Size: 29.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1.post20200802 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.11

File hashes

Hashes for hyperspy-1.6.0.tar.gz
Algorithm Hash digest
SHA256 f569c31d9910c0d38fa39164a79764847228e04a67fb49d697955e24b4e63392
MD5 ec9d4abda4466411bc02af00ac640c3e
BLAKE2b-256 34474aaecba022f12834b87a78a7e1877e4b79b417bbea57e2033faf043e9747

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ebca1e0bc5a186d6806338b9cf2834a2e3c9914716be9a0f373c8d1a7a28ca9b
MD5 b74e19176f463e4376704569266d1e17
BLAKE2b-256 8a213bcc344bb52a5ff7a7c947ae90d0a3ff7eda014ec18d557807a3532c09a5

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 0ec2b19a7e6c62dd6c8a267aca71ca5f21a046a33b62dce2b6bbe23f3a7a793e
MD5 191270991c7bba43fc434dc9116f4b1f
BLAKE2b-256 bb0733eced022f16d532ca778e32b0942573cf9470d4fd729e92e566cae3d88c

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a4b86b12ec161c22415260fbdbced2e00684f2c62246a5e4ace9e424a1623463
MD5 68249865fed1d1e3a8e488e5ad261b97
BLAKE2b-256 0c7fbc22579c52c2a60819fa12b42063f03e8ec2ec745a934a97047d5c4ca0fb

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 df570f3a6de0cab66540e2cea25e54ac743a88be4563fc2e53bf7f42fafa268d
MD5 eafa8b0878d567838bcf1d9183953fcb
BLAKE2b-256 59ddfbe4a8864aed3a12143e793d42026c52c2d7ff4562d9fd4aa50e8eee2b33

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 84fa1675cd459b62828750509f3c54efa58ef0ecc5115f77a5a09528384fe9b6
MD5 953bf1b67a27a5f3dceeee245976c6e5
BLAKE2b-256 87cbf9b77eca3428b6e4c756227b31d286b60f70d9bc5d3da83db71134e4cc5e

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d6d5c63c84a88c283157e1bdf8e242bc86cb8d7628accdc46263f7661d920b74
MD5 b59ade056fa3cb4319f79fbf071b468f
BLAKE2b-256 257a6886ee7c19d0b4616d76d2fbd8b8926d1f3412254239709f6756ca513d2b

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 173004b1dfabd4d712eef48ddf05ec40935c1a1688fde778f6a0762277030bf7
MD5 a174afeaae551cf1c0df332e40e84b16
BLAKE2b-256 351606cc7b5d3925aad7b82ecddcd7a8ff2a8924e9ccbdacaee788114f11b9cd

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 7fdaeb381a7bf3fb06c4d1c72436842282695f678e6281d5896ae4d6939f5145
MD5 0f5b74b1f5fd750c002311839e6017d6
BLAKE2b-256 9e665d623a52ffdc9fc64ffc97278af8b165e3dd173462fde4474c465014c008

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 73287593216830a1d838e3dd438af32329d645d334041a277f7efea5e67c86c0
MD5 1a767f59a2556cf5b7050d2772cd8650
BLAKE2b-256 e3d26b8a7f63790af3ec4a6ed16e9c99157d0b64bbce09da17fc639c0f44c73b

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 745bccf295efa234ed7171b70f1838d28200365ee50625abb4efd6e21d49e98b
MD5 9d46860f84094cae959a35d089112d66
BLAKE2b-256 f272a93dcb420803c74185e569300bb66f36616ff824594335ffaa207a2e0a19

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 30.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 82925d8440c825d6e15399939019841e87eee033cfe7752ec63f4c15be6a6f42
MD5 b3b7d9bb819e27200ebc03e96a51d602
BLAKE2b-256 9692975af7c03401ba292cda6beafc0376775a4d49614d6b86de6c1d107f5285

See more details on using hashes here.

File details

Details for the file hyperspy-1.6.0-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: hyperspy-1.6.0-cp36-cp36m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 29.9 MB
  • Tags: CPython 3.6m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.7.7

File hashes

Hashes for hyperspy-1.6.0-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b9dbe8c0f2b815e8763495688a797c074291bd3e4adff42f1e78cba88fa62049
MD5 23400cb02c7aa7db415247431b73f351
BLAKE2b-256 70986133504ab3d8e31f7d48f5cd85657090be6a668fced28a77652bd694780d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page