A package for the ingestion of 4D STEM data.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjh1 from gravatar.com cjh1 Avatar for openchemistry from gravatar.com openchemistry

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause)
  • Author: Kitware Inc
Classifiers

Project description

A package for the ingestion of 4D STEM data.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjh1 from gravatar.com cjh1 Avatar for openchemistry from gravatar.com openchemistry

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause)
  • Author: Kitware Inc
Classifiers

Release history Release notifications | RSS feed

3.3.16

3.3.15

3.3.14

3.3.13

3.3.12

3.3.11

3.3.10

3.3.9

3.3.8

3.3.7

3.3.6

3.3.5

3.3.4

3.3.3

3.2.3

3.2.2

3.2.1

3.2.0

3.1.0

3.0.0

3.0.0a2 pre-release

3.0.0a1 pre-release

2.0.2

2.0.1

This version

2.0.0

2.0.0a1 pre-release

1.1.1

1.1.0

1.1.0a1 pre-release

1.0.4

0.0.1

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

stempy-2.0.0-cp39-cp39-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

stempy-2.0.0-cp39-cp39-manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

stempy-2.0.0-cp39-cp39-macosx_10_9_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

stempy-2.0.0-cp38-cp38-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

stempy-2.0.0-cp38-cp38-manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

stempy-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

stempy-2.0.0-cp37-cp37m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

stempy-2.0.0-cp37-cp37m-manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

stempy-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

stempy-2.0.0-cp36-cp36m-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.6m Windows x86-64

stempy-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

stempy-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl (2.0 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file stempy-2.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 70fa645fda7950ccc93eff5e1c6596628b3a53cbe6918c1d4c4de150ffd7999b
MD5 81becd14905f001dc6adbe69151efbab
BLAKE2b-256 f9aad9c76ff7e3de154ad4b2584e7a1dd4002a2f49f80ddd94ead4fa304a73f2

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 97422bba1b4f824d3c524137de94daccafedfb3a5d4f5b81bada095ad2daa0fb
MD5 a6b5540fa079e37b4a95c296dd0c3028
BLAKE2b-256 743f41d5897a9ed9df510871b7cdb28b5412dbb6c643dced02a2f171383b8982

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 90a08242ee551de9a171138f5290042df998bd0bd215ad7ff3994b64e38aece9
MD5 40076f8bf72635b478f07554b19bd10e
BLAKE2b-256 555d33608b1b56b6317b9dd75296ef83087429a2abe7ecabcc1ec0c6cef239f3

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9ee3c69dbc1a6a7921da411860a37a32494924419e23ceef1456fd77ec648b59
MD5 fe7b4fe68549444124f3e867b7412acc
BLAKE2b-256 a719cbf7571b0220fc0ac219d421130e78aeefa6401b178d15cca141e2e0f2bb

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 edf2b54c341127bc3f8f98a493331746eeb5597fc46fd9777b08b5a703e8a9fe
MD5 de7e68f2a2284d034143d3016bec34ee
BLAKE2b-256 438dd732c4eb0d04b4a21398ee865869cf37ed20ee412c779294c41d6b0d1863

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 efa795db2e5606040f7d20c64df65894ba2fd41cce38e60f7694e397ea6084f0
MD5 a75ffad23c1e00d612bd8847f00fcb3d
BLAKE2b-256 5668efc6505ffdcf0c39f5bf4a4b3da430b3daa2df21b0e16db376fed987d95e

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ea760319e26d9ffbd31226a9188aec6b258e2c28a684ad39d324d0eaffe9ae7a
MD5 085ce32b244187a479b2d3b81486e028
BLAKE2b-256 3835282f5e1082cda79782d15436d1b03c09b8eaea6eb21c5a9eb3290746568e

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f6876463406bae2437255fa26e7e59aa9c910b2eb0c0a8d7f62db6addef24b0b
MD5 7213b2ace8367e0134c60dddeb74873b
BLAKE2b-256 fe060166de0b74308950347a81e21de17d2fee41f14c71aa612fb2ba7c64fe51

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e12124bd1b421d11dc962c3f68ad5defb03034decd66b8eb9bb23201ddd40e7a
MD5 76a9410c9e28621aa2079078f1ec3a60
BLAKE2b-256 58fb6b8e38c0522db424b9580d9b66f894a972b61a990813630e0eda192bf924

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 34c9706a22c7c57cababf828ac1a7501cea22fd6989ee639fbc3295d521ce9d0
MD5 6b0969f7f46f003c918d1d4fbb570972
BLAKE2b-256 8102fa13fff888b394ac2a1cbeb90318335c631cab6a49eec6ddbb36a55fa25b

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1253569262afca43484a13dbdb605115070bb7dab3b94c5569fff9bca69161e7
MD5 c8880ca40f0a875da9d945a9be32f502
BLAKE2b-256 b602c03d41c52632d8e2f1f16e8c4edc33801bd50711ece3edd006a54711e8ac

See more details on using hashes here.

File details

Details for the file stempy-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: stempy-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for stempy-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4b99078b97028042bcb4190dbc209adbb37580cbfe63da7dc019b7d9868d8812
MD5 0b246f5c7c0e5c4e33fb59b5f6f3bc34
BLAKE2b-256 c8bdab22bbd9fc37990d67f71785eed0db3d75d62ec41b9242784e7458d8c868

See more details on using hashes here.

Supported by

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