Skip to main content

Wrapper for MEF (multiscale electrophysiology format)

Project description

The author of this package has not provided a project description

Project details


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

pymef-1.4.0-cp311-cp311-win_amd64.whl (100.4 kB view details)

Uploaded CPython 3.11 Windows x86-64

pymef-1.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (344.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp311-cp311-macosx_10_9_x86_64.whl (137.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pymef-1.4.0-cp310-cp310-win_amd64.whl (100.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

pymef-1.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (342.6 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl (137.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pymef-1.4.0-cp39-cp39-win_amd64.whl (100.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

pymef-1.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (342.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp39-cp39-macosx_10_9_x86_64.whl (137.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pymef-1.4.0-cp38-cp38-win_amd64.whl (100.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

pymef-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (349.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp38-cp38-macosx_10_9_x86_64.whl (137.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pymef-1.4.0-cp37-cp37m-win_amd64.whl (99.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

pymef-1.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (337.0 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp37-cp37m-macosx_10_9_x86_64.whl (137.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

pymef-1.4.0-cp36-cp36m-win_amd64.whl (110.5 kB view details)

Uploaded CPython 3.6m Windows x86-64

pymef-1.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (337.1 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

pymef-1.4.0-cp36-cp36m-macosx_10_9_x86_64.whl (137.1 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file pymef-1.4.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 100.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9bccd2000933a2722936a55cbc46c38c890ad58e0f7c12856caf96f6f2542581
MD5 e5bdcfcdd094577fb3e4380d3f5a400e
BLAKE2b-256 f4f126204ab1460201a718c88b4faffd85a3bdc7c3662699d626314b733f507c

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a36b238ffb6934ce6f07bddbaa96627decc68886f619dce4da97776f76d4b67e
MD5 17be1c3e3939d14c10551565370bbee4
BLAKE2b-256 47c2b81c1bd02f2cf82d62044e0a69580dd1702a8577de615ccdc400c2e62cb2

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0ea83ecc37ca9bb03851a309fe9ee7be8ebd337ec2edfee76c6a41ac112ef6e2
MD5 c7cf381edc442795836508328272a22c
BLAKE2b-256 44e50925c70a28a2028230a2e93808aa970186b325fd218bf31385e3cbe9b344

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 100.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e972821dc8c61569fdc37f1852774d927e1f4b8215b5ab59f75557560c570590
MD5 e6976a4c7acc61a6caa6ffa9373f999f
BLAKE2b-256 06a68004ec9ef1c154b6f1a94c4994c9fa71a740eb1320107116b14b5233888b

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a03dc0e7a972153a5f200a229f29d3df365e3fa6093acc690594cd088f840a47
MD5 0877831fa058555a4f8cf21dc3ff66f1
BLAKE2b-256 4cafab943a07a1917da76c2f2cc1753220fd710bb9edd65309d6f46096af7f4b

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b1692601ea997187b79fc31642c1b265a35d471213bde96d94a0fe830558063a
MD5 7ef8a2a5afeedddc395590889a9fa954
BLAKE2b-256 0e1eee55fcd6862303d923ab941fcd6ea231e8744dc6a424b57024ad359af055

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 100.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ef9c691b7e50f8601656b5ccca98f92202972af40fcb74d6d94e3c122f8a09c8
MD5 0c2edce24831cd38489fa9b4c7a46d1c
BLAKE2b-256 76d6ccec5929c18ead093038a0127df8a24f7a377e91dda4f55cc9d83282e603

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9b00e8de978439162dea158c9a6835edb28f4ed969a67165594d4958d3845c8b
MD5 781557f17aa90829db20aac66f066466
BLAKE2b-256 ceb0fb54286806febd1492a7d000226f30d6dcbbe9ac686e9af9eac9ef8f9d06

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a3e21168f0341950ec584ab62b841fa64d28c790c59b901de6c9d3c089838b8b
MD5 693ba172c827aa3ad3c5b18249769a0f
BLAKE2b-256 02771f4c8ab43931f556595f5842f53dfd55ab7e7753140df274017dac5ddb5d

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 100.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a8dc0ca24f17aa4843a0b6ebbb6d0e854a68ccdc5f95011561b009a242b4da59
MD5 8e42a8fbbd4c5ad9653c178cd9b2e9a3
BLAKE2b-256 f2cb810adcbc4512d842e6cd75740b3669a8841752b8fb081497086eb51a214f

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f7c98d63c507f158e2ee522db6a4208c645497baa949a99d7f5b132fab392b4
MD5 170d09eb3c729ea324784658cff989d4
BLAKE2b-256 79a1db6e65704b62c7b0f633753bca7d4a64e4b0df34b4b410f211204805559f

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a9e5ae6130183f56877b791a873306f711edf89829464bcce4b8622e872ded60
MD5 ad10fbe452df28b1cc9d8b814953c2a0
BLAKE2b-256 29abd18caff96381c0aec6c5237547c48d5347ef0ee51124e273321f5590c929

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 99.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f12de74e0657c6e95abd19cc747d42d7875c0a947f04900cb9d7df46232a7521
MD5 c410d98b338fcb7e97773d2d90a0156e
BLAKE2b-256 34e40c9ac9c0a7366b12d094b3c0c9eeaa1f49b9e8e110ff53704f1512e9f06d

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b1565659a40d0234b42fdc3508e36dc43c9e38ea102c4450659d4594eede72ae
MD5 14fb24ae3a9d232b105d6fd7cae31714
BLAKE2b-256 00e621eccec83b1586971991a37febbe758da42425694d23990fd17963187cf1

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 93543dd6f7e5613a90e4c855d18ae6b8cdf0d041d3ea4b6e60a875cfdcfe09ae
MD5 7181ede7161bb7a8897dd3310247841f
BLAKE2b-256 819f3990dfd64d93b7a9c9bbf1c05291b859c53cf0bdac49469b7f16609e3168

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pymef-1.4.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 110.5 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for pymef-1.4.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 08b3535cd3e9229d10118f5d6712a4386b8dbbf361dff71d8d71cec6395c63e7
MD5 08f41b342b1c19ccd5e136a2da4836c7
BLAKE2b-256 91e82e07c206cbe2dc583eee0718a64b01060da9c2ee7bc3421c9d2200c99241

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c051f17b89129426fcc2828dad08a35296b7bae99955f1b852dde2833fbf8867
MD5 3e0b741434379aa94b3fa320e5e75dbf
BLAKE2b-256 7186d9d012cb526527645a9ad6d76c1de693275ad4de34436da32065887de7b8

See more details on using hashes here.

File details

Details for the file pymef-1.4.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pymef-1.4.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d2ec87b7adc17e08091b0de28e95e49f67efb651fccb7888e69f7b1b6287ecc3
MD5 6135a40c1d6731b3f2993669e0f46b96
BLAKE2b-256 dd6a56c0ea7aa891cf8e7e3b13252c6465e381a99f6e4095002cb49b09760281

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