Skip to main content

An open source library for statistical plotting

Project description

Lets-Plot

official JetBrains project License MIT Latest Release

Lets-Plot is a multiplatform plotting library built on the principles of the Grammar of Graphics.

The library' design is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics.

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.

Grammar of Graphics for Python Latest Release

A bridge between R (ggplot2) and Python data visualization.
To learn more see the documentation site at lets-plot.org.

Grammar of Graphics for Kotlin Latest Release

Notebooks

Create plots in Kotlin Notebook, Datalore, Jupyter with Kotlin Kernel
or any other notebook that supports Kotlin Kernel.
To learn more see the Lets-Plot Kotlin API project at GitHub.

Compose Multiplatform

Embed Lets-Plot charts in Compose Multiplatform applications.
To learn more see the Lets-Plot Skia Frontend project at GitHub.

JVM and Kotlin/JS

Embed Lets-Plot charts in JVM (Swing, JavaFX) and Kotlin/JS applications.
To learn more see the Lets-Plot Kotlin API project at GitHub.

"Lets-Plot in SciView" plugin

JetBrains Plugins JetBrains plugins

Scientific mode in PyCharm and in IntelliJ IDEA provides support for interactive scientific computing and data visualization.

Lets-Plot in SciView plugin adds support for interactive plotting to IntelliJ-based IDEs with the Scientific mode enabled.

Note: The Scientific mode is NOT available in communinty editions of JetBrains IDEs.

Also read:

What is new in 4.5.0

[!CAUTION]
Subscripts and superscripts are not supported in PDF and PNG exports.

[!CAUTION]
pow and pow_full options are not supported in PDF and PNG exports.

Recent Updates in the Gallery

f-24e/images/us_unemployment.png f-24b/images/gal_venn_diagram.png f-24b/images/gal_spoke.png f-24b/images/gal_indonesia_volcanoes_on_map.png f-24b/images/gal_japanese_volcanoes_on_map.png f-24a/images/gal_bbc_cookbook.png f-24a/images/gal_penguins.png f-24a/images/gal_periodic_table.png f-24a/images/gal_wind_rose.png f-24a/images/gal_polar_heatmap.png

Change Log

CHANGELOG.md

Code of Conduct

This project and the corresponding community are governed by the JetBrains Open Source and Community Code of Conduct. Please make sure you read it.

License

Code and documentation released under the MIT license. Copyright © 2019-2024, JetBrains s.r.o.

Project details


Release history Release notifications | RSS feed

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

lets_plot-4.5.3a1-cp313-cp313-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.13Windows x86-64

lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp313-cp313-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp313-cp313-macosx_10_15_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.13macOS 10.15+ x86-64

lets_plot-4.5.3a1-cp312-cp312-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.12Windows x86-64

lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp312-cp312-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp312-cp312-macosx_10_9_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.12macOS 10.9+ x86-64

lets_plot-4.5.3a1-cp311-cp311-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.11Windows x86-64

lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp311-cp311-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp311-cp311-macosx_10_9_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

lets_plot-4.5.3a1-cp310-cp310-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.10Windows x86-64

lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp310-cp310-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp310-cp310-macosx_10_9_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

lets_plot-4.5.3a1-cp39-cp39-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.9Windows x86-64

lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp39-cp39-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp39-cp39-macosx_10_9_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

lets_plot-4.5.3a1-cp38-cp38-win_amd64.whl (3.1 MB view details)

Uploaded CPython 3.8Windows x86-64

lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

lets_plot-4.5.3a1-cp38-cp38-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

lets_plot-4.5.3a1-cp38-cp38-macosx_10_9_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file lets_plot-4.5.3a1-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 f12d1959ce1ddf5936da0b4dbce8edadc77a39987d5a95623b1571c8fe8b4bbe
MD5 a491b358fd88fbb743c19caf93742411
BLAKE2b-256 79e79795d333c448400781bf9d8694274492a922291699a0788fcdd490d72007

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d30c9242875a3a3789aeb44545def3dde518cba603ce26c57782d8637ee8524e
MD5 df8776b943e21224b6c581318506cbe6
BLAKE2b-256 e0c09b52f7e71c1dab99c1e9fe8f914eb9e2ae5ef757eab9d67ee5b330d2c05e

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 544222c2dc9cc3a613252b41cbdf7f2685cd337718825bdb85adb770e0924822
MD5 b4597622145f6b6a7b22706ae644305d
BLAKE2b-256 27f3dd94d61c172e69c30176a1465612bfd5d06396e5706763ec135ec1c1ffa2

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ad8ec42b9739f7b7920e081516c861909b4c602a9e74d24a8c1214ee71ec3aad
MD5 ffff5ba60648008460638835da4b10a3
BLAKE2b-256 776ec42535b35a08c60fa85647a7354f42fe2375ce74b6ff30701b53483492e1

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp313-cp313-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp313-cp313-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 88ebbb1ce8e2e2687be053cb0bca3443e760617a5b0d58a040ccb6954eaf9b5e
MD5 f042bccbfa7ce608537b27bae9c5bf34
BLAKE2b-256 db465047b12da16b9988a200a2b03b284ee8df9a9fbea196b65a39dd092b4a33

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 b0c66a16a00f4afa2e93e6071e5c8a605111e386f7805a0ca60c2e47d34b5435
MD5 5c363cbb4e778b820e2120e45441bc73
BLAKE2b-256 2ee1812f721229483cac7d14760f353d678eaf5208b721a828a6a1f1a77b10a5

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cdccc8262f375f82eca0dd7c9f2d9cbf5883c66338daeb43db1ed1d98b6a286f
MD5 4687ed9d8301d20ea77a5c022e9723fa
BLAKE2b-256 66c74e54b2ae26f88a22e0062ecbcae184f5b063dcd6694142a1d08262cec69f

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c3ca6a9af3bda50ac94073dd1df1af0d8ded48aa43b34a9c1d1b7c1a84c12b10
MD5 c32d44345e0a3233d1d9dbed38fc7a4e
BLAKE2b-256 e320a24ccdad99f7e59f3153d8b5ff4222f6d3fe43ce5f0ef03b871731d29248

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 159f08999b46089422988929ead4f647f6cfa5b98af432d08bc28242658b6f0e
MD5 53b84ffb07a7eae8c6cfc09685082bcd
BLAKE2b-256 1ebbc8225bf7116e0e42f8cc47d776605574f6ea15a5941cdf5bc55e726bbc1f

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f9c664dc4d036c680db5effbd25073f93ba69c6871e421d7ed267232f88874ff
MD5 8d646ea9b9545b9d8f4e299460b9be17
BLAKE2b-256 44cfbd886835c3d988d495ad01b778046f4c51e33cd8c85943e8f097bae7a708

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 12537aaa09a4595ccf54272b780a78ac05f96c202bf556dee71896b192ca0e61
MD5 74383d60e915da12169b7a1a7c1f4c42
BLAKE2b-256 1a6321d6ea7e7a8b97f5a3dd8ee33c07f596cd90a05ca16f9e2de10b4bce69d8

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9ff87243d0c541a3beae25fee2a6d7be3651de33db1b3a900ccf823abbadbf44
MD5 b36a26610e2cf709f5e714634a090a51
BLAKE2b-256 24a651869e25a1d1faa2999e2e876652fc4cf5333181b516d51d7513847b08a9

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3bd649c0b8af5cc862d82ccb1781f54c66ebfb5973ce08cae2665b45d8c510b9
MD5 4dceaa67b4d1d20f6e59c967b0f91a1d
BLAKE2b-256 ffcc6207f441188343e60bb7c09bbdd3b108bcedfd4f672f56a15cc02cccce0b

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ee100e008345c73e5253299805fc2eb1b898e4d389a47bb0430fa24f7f706d32
MD5 25e3d95296cfd1a38497f92b05fd0709
BLAKE2b-256 ae2123803965e65c233b2c509e63a970e7c55bb61f482e4ddc37c62cdf2d7404

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c9b4ad344dcc9661642794ff252e8c81ed6139db203cb229f367d528df6e7ebb
MD5 63daf324b3552e508a274cea8200321d
BLAKE2b-256 fdbfa7b71dc10eacf86b7a5a875419a1fcc57ff7b27ba1f6591e0a55b3d518e6

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 43c506cb7750f8c1108192b3e4c9d55d0231571fbce1e1e98b4d5c28f00a1626
MD5 60e311758da1ec80c5a25c5f21e2f49d
BLAKE2b-256 224eb73613fcdf459024b1582b1b8fba78eeb9a8fcefcb59bbd8786f60148674

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c3fc23980dbd1fa8a44652d4d21e320c7750ad1b4756415ba66048186d748a15
MD5 be246394bb65012966673697c6a7cc55
BLAKE2b-256 830cd62bc7f9f9e74b9748b57ac98b63ff6f51a51941c6e88c911b9950251ac1

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 20087b1ed82daf16a6b20984a2c7f4f62cf0649cc738b3b8171491904bcb48f4
MD5 d7fa1f1ea442d7a894b162196aad2b5d
BLAKE2b-256 aee886c080ed304470c24d4ae5a57f06036f49aea76c9289fdbf3293b4ddedc5

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a7cc557d31783b21b1b89089311cbfc7ef0f423f966349c94d7e888209d4bfde
MD5 d96cf57383267cb9505fc7e324d58203
BLAKE2b-256 e6dbb1203706901b479154e4dada965fb98d293ada7f1b25d0d432d6d0efa089

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 25a186c8b6ab4187a211ebbad08fd28e39e5bc6a85648227e021752cab7784b7
MD5 1f43f5d2bc556891d1ed6b1095cba513
BLAKE2b-256 d799d65ab84a9e291881200237ddd23ef5082205ce89bc4d1955fc4d5c036c79

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: lets_plot-4.5.3a1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for lets_plot-4.5.3a1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 02110796102bc2fd0769df2ef2dc128251284282e08b4efa9d01c7262e1a9ebf
MD5 16a59bcb631543e11c0b0f1b5255c2b0
BLAKE2b-256 62f0364fa0c347ad0b45f6e770fc3724756ce48272e465aa3bd46b53d5449a26

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1f646de8c0cfa267e829995616b135b57c49cc06e08cf2017705e39aa7923b83
MD5 31fade2eaa4e5d08fd400c3b3cb9b40e
BLAKE2b-256 4ba4f264b65aaa6454354f508883b391f19311e704e50925eea88c7a615fd5c3

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9dd95f590f4085ef8417a931ba57d413412a3b1aa7ccff7a340277554b32d04c
MD5 d9a24e771b66d6915a33f738c641fb65
BLAKE2b-256 d15be79cd3e1ec2afa722009155b0728e475f165c43165272087cc7c25016de3

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fcca3721249e4886133c289397ab2d62dc38c82cc3b01bd3eecf28577002b27e
MD5 4caa9664553c33efea02f2a4ed45ec8b
BLAKE2b-256 4290bdfa55081461efb689b233fe510040eafa3d90c7eececa586e27c7b3d4cf

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 adc946e97b2a0d2c8988b2f6704a901bc2a938a04092a824174eb522e91b3448
MD5 b01b0a3dcb72237ae6681ebcade9ebf3
BLAKE2b-256 fa1f2bc8d66ae1aac6c6a061b034f8def6468d0ba8596e01a76a421aa973c85d

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: lets_plot-4.5.3a1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for lets_plot-4.5.3a1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 2157ba3deeffd4782d8eb90998bc9f7f217e89ce0a25e4d67b475d03b06152ef
MD5 acfbe573ce95c3cfd6335e5375f3e3e4
BLAKE2b-256 d059b7e983c483285eca388cdae9b905d1b746bdba401175fcf5626c9c3d55f4

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 912a5057863cc5e58f2d554d5f374da4aaad7e215a2ed66b33bdc20e771f73e3
MD5 ec470a3682ce9779439cb4d03bc5951e
BLAKE2b-256 5ea4c4477b0bb47d3b4addd4eee9032fe27c9d18215343afa8541522b105e12d

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c27511c139585e2224a9e190e95cc112c44da7834bd89731de0179597615c949
MD5 105d1f323edeb6d042b46c428733fe9e
BLAKE2b-256 766b02512e9ff1c51e299e99c190628a962f7dca86fd688f24368d1cb5ca9b49

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 673ce081f9a81f7f1f3d2e6db02f65bb98b0dad220c00e2a9649ce5ef8e830a7
MD5 994665b69fd6ee98e3b172f9d41a3826
BLAKE2b-256 2bf2c8df4c1fd5a94f965fb10b459b50c9fceebb80360051f76a90f24f827b48

See more details on using hashes here.

File details

Details for the file lets_plot-4.5.3a1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for lets_plot-4.5.3a1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2d13b0da02ac04531c0a48622b3c5b4409a2f51429163f7e52fc2706f4baa89a
MD5 709195377d862cba4ba10abae9273a50
BLAKE2b-256 2b95c7da6deab96250af83886c7b34dede3448a7f386711668cfda3a8c29edc7

See more details on using hashes here.

Supported by

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