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

This version

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

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-3.2.0-cp310-cp310-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

stempy-3.2.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

stempy-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

stempy-3.2.0-cp39-cp39-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

stempy-3.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

stempy-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

stempy-3.2.0-cp38-cp38-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

stempy-3.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

stempy-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

stempy-3.2.0-cp37-cp37m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

stempy-3.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.8 MB view details)

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

stempy-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file stempy-3.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: stempy-3.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for stempy-3.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 66292aaccf1652f09152b6a583f12e2f55d5d1a477207cfec0c3f0d1d402f271
MD5 c2906835b5a618d39df95df2bf99814f
BLAKE2b-256 7c4cc5284eca671459ddfc4e3897dd5d7fe9906ca31b4b7822eb782ab464983c

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ae937cf8382cf80fc754fb3c12d3550c61e2e9ac1a5eaddabde83449bf9ad188
MD5 c54ff7d63053659a9ff0d6e3dcbaa0c9
BLAKE2b-256 afab4134cad9c41a7064a4ac26623780fd89080ea83e74da8dcf36c01d44777e

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bc1a2def38d24a2012031a4601e0ebdc59bca0720e5a8479da53a430ff6a51c9
MD5 8da976f8751bbf7650aca3b8bfd71035
BLAKE2b-256 51da7039dc09266be27813d99eea3e30392b9b1914ec73fb0c1532a40aa2063d

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: stempy-3.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for stempy-3.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d889e01ef7d481625b586cc77b04138aa1426e438252fe438f475d5ca2665d54
MD5 392e40f7c6ceb35d1c67317f89e46274
BLAKE2b-256 8212f3d91ac7e7775365766a432ed1463e2e65d6a9843ff9021416e43b7340cb

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 084d558d218a6a3bc74302b1cb940d94fe7fffacefa120079c65010a050661e4
MD5 41a66a85ba80e5cf19ebc1fbe5493bbd
BLAKE2b-256 44393c1da91dd27f640a88453e373bfa87c3c2a14ecb7727ce0661e42406b50a

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 efe672019d224467435c0bda3953411e4475636b1e10e122d1c95235b8a1cacc
MD5 529abe870bd88ad2cabcf282e269fa6e
BLAKE2b-256 c2898815495e2ebb8cdd8410a528db4f72adfeb9a46da5d0fae359542e0328f0

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: stempy-3.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for stempy-3.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5b5dd533d40b98f3f6459569183620610b72f4878776b953320e5444d14d0b21
MD5 80c846d477f8e9cc1e8efb0b507f8615
BLAKE2b-256 ae1cb79e6292851f57a2cca3c64fc338ecb911caff0f551fb9e108569328232c

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ac7615b37320926f85dc43edbc9d24d4bd723b76b7b10c2d77597f4e549e596d
MD5 8b63cf062724950045e85f8785fbd1c7
BLAKE2b-256 4d91e4ed981121bd161cb358dbb64674a317a1b732dfc9f736e979a768b8897e

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 54a5c4cfa5be832dfe343595795110044c58c360b3036c513390392df9673881
MD5 e7e9da381a0310f42d0f8a8ebb3bf2e1
BLAKE2b-256 f98bf0463f4fa7cff7a609e069b9dad62125c41956a92838b365c7dc01cd6377

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: stempy-3.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for stempy-3.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1ef09d90d0449feac5af62dee0f8d12f08189ff4199e66c6e3ab34f1216a8a30
MD5 53007c668939e55c8c077e4a9f39c7ba
BLAKE2b-256 a7fa47fb2e078e52108c3d20c9d2157993d8fdccbe5c4a64bb825051d8b0986b

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 9e713bb2db2e8ab8b53880a7eb0abfc02b85f53f1b4bd836ee47c78fd3578619
MD5 7906c6077354a5388a3756a465082545
BLAKE2b-256 8f6f46437b54f7c0ef58ebf4820a4ba9a07177ebdfdc7129ed0ad9f31638f149

See more details on using hashes here.

File details

Details for the file stempy-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for stempy-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e021f67685f5cf34e6eaa881e168cdcf5b4cb4c6207208a6a877c331f6107645
MD5 943ba9761f5cc8f95e9b8ab5fec8e270
BLAKE2b-256 dc6479613a4b9b87559cdd362300c737c4d7c54f48f8e02e7212748fc0352970

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