SciQLop plot API based on QCustomPlot

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 An easy to use ISTP loader package. Copyright (C...)
  • Author: Alexis Jeandet
  • Requires: Python >=3.7
Classifiers

Project description

License: GPL v3 CPP17 PyPi Coverage

SciQLopPlots

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 An easy to use ISTP loader package. Copyright (C...)
  • Author: Alexis Jeandet
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.9.0

0.8.2

0.8.1

0.8.0

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.4

0.3.3

0.2.6

0.2.5

0.2.4

0.2.2

0.1.8

0.1.7

This version

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.7

0.0.3

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 Distribution

sciqlopplots-0.1.6.tar.gz (392.4 kB view details)

Uploaded Source

Built Distributions

sciqlopplots-0.1.6-cp311-cp311-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

sciqlopplots-0.1.6-cp311-cp311-macosx_10_15_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

sciqlopplots-0.1.6-cp310-cp310-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

sciqlopplots-0.1.6-cp310-cp310-macosx_10_15_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

sciqlopplots-0.1.6-cp39-cp39-manylinux_2_28_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

sciqlopplots-0.1.6-cp39-cp39-macosx_10_15_x86_64.whl (5.1 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

sciqlopplots-0.1.6-cp38-cp38-manylinux_2_28_x86_64.whl (5.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

sciqlopplots-0.1.6-cp38-cp38-macosx_10_15_x86_64.whl (5.3 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

File details

Details for the file sciqlopplots-0.1.6.tar.gz.

File metadata

  • Download URL: sciqlopplots-0.1.6.tar.gz
  • Upload date:
  • Size: 392.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for sciqlopplots-0.1.6.tar.gz
Algorithm Hash digest
SHA256 4dbd5f83683a79a6b5b874a87ed045d9dabd461fbba0376e455ac88516e69fbe
MD5 2326ce946b29ec81c5f0c533b250fef1
BLAKE2b-256 f4188b3f5d1c424c01adcaf727dca1cf3bb900a75133c45e6cffda93ddef2035

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 71086a1364376608059d7a5a9643ffbce109274b082630db8ad886221a813f24
MD5 3c2c7948c331d69c900b5eb629ed76dd
BLAKE2b-256 148446926057b8220d2b871fb234420ef2d2832775881314eb5a3e36feef39b0

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 19ce2e9edda7a7985caefec8fe16ead47f13e8cd6be6e344c614bbe971a1defa
MD5 cfed201dacbc3c4b9f1009d423fce04d
BLAKE2b-256 cdcda04ebe743a1d770e596f9890770b187fcad37446f96f1b7f730061e3dd8b

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 48a540b03a89f144ee2510910ac9a5a5a9b83818b9a36ef0aa4b2211659bd702
MD5 857b15d65194f3b3b22acde0ae26beee
BLAKE2b-256 a728f93206aeaa6916b5cbbdb07d0b122960888973f0542df2a32894a44bcff8

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 45f7d408ec03339e388d2fc64463f2214005ca557a66d8a0649e4bd155816517
MD5 ec2c6144b82525ad3196b000f1599b58
BLAKE2b-256 74731ff566e7746399c9871ea887f933015a1dced325bff55b4a4c106f774070

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e7af5e832afdd08441666b8d0f4009d813776fd22488d2a6730d1d90374dd6d9
MD5 4f00b65a350c3382f19e349312e186ec
BLAKE2b-256 12194d23b58ab1a02686762292e60e03609233727661aa1c2a5e21c0aec46ce4

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 74ca1cc6e05cfd231d5caaeadf1f2ce6c2ff2f395e378c1df9f188ad33ea08c2
MD5 e4a81a63bc6a968f09bf3ce7cfd9f42c
BLAKE2b-256 32b56c7c14a60675bb64c02ab3920fa138dbc39276f8cd4743f1c17734e80330

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 26301ff846680d0c36289df0b182743cc2a78b70a31f21a782df935a5155e66d
MD5 7f050445de252b01ab2f4a42c9da3cd4
BLAKE2b-256 e45afbe479303b835ed7b63c2d9ee2d1091dd0fc6c73136eb45f1f01dd643c02

See more details on using hashes here.

File details

Details for the file sciqlopplots-0.1.6-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for sciqlopplots-0.1.6-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6a3a3b9a801fc84023acd7bbc86d284003d6d12a1a04917106e911a67cb2fdcf
MD5 c09868a08c5686d0c9eda6d912dd70dd
BLAKE2b-256 3e10da87acfdef6690e36a7ccf423d4f88ab0b5383b015612fdf066840d19849

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