An interactive data visualization package in Python.

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache Software License (Apache)
  • Author: NablaTech
Classifiers

Project description

EchartsLib

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache Software License (Apache)
  • Author: NablaTech
Classifiers

Release history Release notifications | RSS feed

This version

0.2.0

0.1.0.post1

0.1.0.post0

0.1.0

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

EchartsLib-0.2.0-cp39-cp39-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

EchartsLib-0.2.0-cp38-cp38-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

EchartsLib-0.2.0-cp37-cp37m-win_amd64.whl (4.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

File details

Details for the file EchartsLib-0.2.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for EchartsLib-0.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1914c73418b407d4a8309361dfc246f4efe88a0e837e620136f6bd19597363d7
MD5 c6d0ef75964a5e5a834a2c759239824a
BLAKE2b-256 e7e4c9a1acc670cb99d82e96d9bc288bce7148bda6ccf14b7442e6e55223ca37

See more details on using hashes here.

File details

Details for the file EchartsLib-0.2.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for EchartsLib-0.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 47c2beff26de08381fedb01787e5ff26245429b86975b1f36b05aea870008ea4
MD5 ffeec9a9560b67b7cc437ca9fd450c15
BLAKE2b-256 a60a379b44f7b9d3cbebe4388f7ba201b3f3864780afc540d0f7bf24fb5197cb

See more details on using hashes here.

File details

Details for the file EchartsLib-0.2.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for EchartsLib-0.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7876f62889b0e937a4d6e5d0d59252d6651eda6d343203c6cf5a4087703373f1
MD5 125decd54e88c67398938cd9c13f7f9f
BLAKE2b-256 0296c51f62625ad23201a3c0fd33fed4dd7fa9b7c5340210bd18f38e8ccb8115

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