build(deps): bump matplotlib from 3.8.0 to 3.8.1 (#299)

Bumps [matplotlib](https://github.com/matplotlib/matplotlib) from 3.8.0
to 3.8.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/matplotlib/matplotlib/releases">matplotlib's
releases</a>.</em></p>
<blockquote>
<h2>REL: v3.8.1</h2>
<p>This is the first bugfix release of the 3.8.x series.</p>
<p>This release contains several bug fixes and adjustments:</p>
<ul>
<li>Bump setuptools required version because of setuptools_scm v8</li>
<li>Update <code>find_nearest_contour</code> and revert contour
deprecations</li>
<li><code>allsegs</code> and <code>allkinds</code> return individual
segments</li>
<li>Restore default behavior of hexbin mincnt with C provided</li>
<li>Try/except import of Axes3D</li>
<li>Ensure valid path mangling for ContourLabeler</li>
<li>BLD: Remove development dependencies from sdists</li>
<li>FIX 2-tuple of colors in to_rgba_array</li>
<li>Fix issue with non-string labels and legend</li>
<li>Fix issue with locale comma when not using math text</li>
<li>Various type hinting improvements</li>
<li>Various documentation improvements</li>
<li>Improvements to the MacOS backend</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="fac632fe3c"><code>fac632f</code></a>
REL: v3.8.1</li>
<li><a
href="8c517cd035"><code>8c517cd</code></a>
Release prep v3.8.1</li>
<li><a
href="8c6b3e92b8"><code>8c6b3e9</code></a>
Merge remote-tracking branch 'origin/v3.8.0-doc' into v3.8.x</li>
<li><a
href="043a191d2e"><code>043a191</code></a>
Merge pull request <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27240">#27240</a>
from meeseeksmachine/auto-backport-of-pr-27237-on-v...</li>
<li><a
href="08876f8c80"><code>08876f8</code></a>
Merge pull request <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27239">#27239</a>
from meeseeksmachine/auto-backport-of-pr-27237-on-v...</li>
<li><a
href="dc37d9640d"><code>dc37d96</code></a>
Merge pull request <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27238">#27238</a>
from meeseeksmachine/auto-backport-of-pr-27165-on-v...</li>
<li><a
href="be5b1f5c97"><code>be5b1f5</code></a>
Backport PR <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27237">#27237</a>:
DOC: Add command to install appropriate `requirements.txt...</li>
<li><a
href="58a7f9af47"><code>58a7f9a</code></a>
Backport PR <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27237">#27237</a>:
DOC: Add command to install appropriate `requirements.txt...</li>
<li><a
href="0a775917db"><code>0a77591</code></a>
Backport PR <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27165">#27165</a>:
Fixing Matplotlib Notebook Text</li>
<li><a
href="2e68a4e9fe"><code>2e68a4e</code></a>
Merge pull request <a
href="https://redirect.github.com/matplotlib/matplotlib/issues/27229">#27229</a>
from ksunden/auto-backport-of-pr-27226-on-v3.8.x</li>
<li>Additional commits viewable in <a
href="https://github.com/matplotlib/matplotlib/compare/v3.8.0...v3.8.1">compare
view</a></li>
</ul>
</details>
<br />


[![Dependabot compatibility
score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=matplotlib&package-manager=pip&previous-version=3.8.0&new-version=3.8.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)

Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.

[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)

---

<details>
<summary>Dependabot commands and options</summary>
<br />

You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot merge` will merge this PR after your CI passes on it
- `@dependabot squash and merge` will squash and merge this PR after
your CI passes on it
- `@dependabot cancel merge` will cancel a previously requested merge
and block automerging
- `@dependabot reopen` will reopen this PR if it is closed
- `@dependabot close` will close this PR and stop Dependabot recreating
it. You can achieve the same result by closing it manually
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
- `@dependabot ignore this major version` will close this PR and stop
Dependabot creating any more for this major version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop
Dependabot creating any more for this minor version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop
Dependabot creating any more for this dependency (unless you reopen the
PR or upgrade to it yourself)


</details>
This commit is contained in:
github-actions[bot] 2023-11-01 17:27:48 +00:00 committed by GitHub
commit 3a0aa9f56c
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 34 additions and 55 deletions

87
poetry.lock generated
View File

@ -2987,52 +2987,51 @@ files = [
[[package]]
name = "matplotlib"
version = "3.8.0"
version = "3.8.1"
description = "Python plotting package"
optional = false
python-versions = ">=3.9"
files = [
{file = "matplotlib-3.8.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c4940bad88a932ddc69734274f6fb047207e008389489f2b6f77d9ca485f0e7a"},
{file = "matplotlib-3.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a33bd3045c7452ca1fa65676d88ba940867880e13e2546abb143035fa9072a9d"},
{file = "matplotlib-3.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ea6886e93401c22e534bbfd39201ce8931b75502895cfb115cbdbbe2d31f287"},
{file = "matplotlib-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d670b9348e712ec176de225d425f150dc8e37b13010d85233c539b547da0be39"},
{file = "matplotlib-3.8.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7b37b74f00c4cb6af908cb9a00779d97d294e89fd2145ad43f0cdc23f635760c"},
{file = "matplotlib-3.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:0e723f5b96f3cd4aad99103dc93e9e3cdc4f18afdcc76951f4857b46f8e39d2d"},
{file = "matplotlib-3.8.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:5dc945a9cb2deb7d197ba23eb4c210e591d52d77bf0ba27c35fc82dec9fa78d4"},
{file = "matplotlib-3.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8b5a1bf27d078453aa7b5b27f52580e16360d02df6d3dc9504f3d2ce11f6309"},
{file = "matplotlib-3.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f25ffb6ad972cdffa7df8e5be4b1e3cadd2f8d43fc72085feb1518006178394"},
{file = "matplotlib-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee482731c8c17d86d9ddb5194d38621f9b0f0d53c99006275a12523ab021732"},
{file = "matplotlib-3.8.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:36eafe2128772195b373e1242df28d1b7ec6c04c15b090b8d9e335d55a323900"},
{file = "matplotlib-3.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:061ee58facb3580cd2d046a6d227fb77e9295599c5ec6ad069f06b5821ad1cfc"},
{file = "matplotlib-3.8.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:3cc3776836d0f4f22654a7f2d2ec2004618d5cf86b7185318381f73b80fd8a2d"},
{file = "matplotlib-3.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6c49a2bd6981264bddcb8c317b6bd25febcece9e2ebfcbc34e7f4c0c867c09dc"},
{file = "matplotlib-3.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23ed11654fc83cd6cfdf6170b453e437674a050a452133a064d47f2f1371f8d3"},
{file = "matplotlib-3.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dae97fdd6996b3a25da8ee43e3fc734fff502f396801063c6b76c20b56683196"},
{file = "matplotlib-3.8.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:87df75f528020a6299f76a1d986c0ed4406e3b2bd44bc5e306e46bca7d45e53e"},
{file = "matplotlib-3.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:90d74a95fe055f73a6cd737beecc1b81c26f2893b7a3751d52b53ff06ca53f36"},
{file = "matplotlib-3.8.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c3499c312f5def8f362a2bf761d04fa2d452b333f3a9a3f58805273719bf20d9"},
{file = "matplotlib-3.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:31e793c8bd4ea268cc5d3a695c27b30650ec35238626961d73085d5e94b6ab68"},
{file = "matplotlib-3.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d5ee602ef517a89d1f2c508ca189cfc395dd0b4a08284fb1b97a78eec354644"},
{file = "matplotlib-3.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5de39dc61ca35342cf409e031f70f18219f2c48380d3886c1cf5ad9f17898e06"},
{file = "matplotlib-3.8.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:dd386c80a98b5f51571b9484bf6c6976de383cd2a8cd972b6a9562d85c6d2087"},
{file = "matplotlib-3.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:f691b4ef47c7384d0936b2e8ebdeb5d526c81d004ad9403dfb9d4c76b9979a93"},
{file = "matplotlib-3.8.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:0b11f354aae62a2aa53ec5bb09946f5f06fc41793e351a04ff60223ea9162955"},
{file = "matplotlib-3.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f54b9fb87ca5acbcdd0f286021bedc162e1425fa5555ebf3b3dfc167b955ad9"},
{file = "matplotlib-3.8.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:60a6e04dfd77c0d3bcfee61c3cd335fff1b917c2f303b32524cd1235e194ef99"},
{file = "matplotlib-3.8.0.tar.gz", hash = "sha256:df8505e1c19d5c2c26aff3497a7cbd3ccfc2e97043d1e4db3e76afa399164b69"},
{file = "matplotlib-3.8.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:e11ab864323fa73ac1b7849688d9671c47a2665242e899785b4db1a375b547e1"},
{file = "matplotlib-3.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:43a9d40feb63c9e31a0b8b069dcbd74a912f59bdc0095d187126694cd26977e4"},
{file = "matplotlib-3.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:608ea2951838d391e45dec2e644888db6899c752d3c29e157af9dcefb3d7d8d5"},
{file = "matplotlib-3.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82ec95b02e894561c21e066bd0c716e4b410df141ce9441aa5af6cd937e4ade2"},
{file = "matplotlib-3.8.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e3ad1759ad4a5245172c6d32b8ada603a6020d03211524c39d78d25c9a7dc0d2"},
{file = "matplotlib-3.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:20a0fdfd3ee836179047f3782be060057b878ad37f5abe29edf006a1ff3ecd73"},
{file = "matplotlib-3.8.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:7658b7073c1d6a2922ecc0ed41602410fae88586cb8a54f7a2063d537b6beaf7"},
{file = "matplotlib-3.8.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bf6889643d4560fcc56f9f0941f078e4df0d72a6c3e4ca548841fc13c5642664"},
{file = "matplotlib-3.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff842e27bc6a80de08c40e0bfdce460bd08080e8a94af131162b6a1b8948f2cc"},
{file = "matplotlib-3.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f99d07c0e753717775be7be39ab383453b4d8b629c9fa174596b970c6555890"},
{file = "matplotlib-3.8.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f34b46dbb1db1f09bfa937cd5853e5f2af232caeeff509c3ab6e43fd33780eae"},
{file = "matplotlib-3.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:1fcb49b6baf0375281979cbf26695ec10bd1cada1e311893e89533b3b70143e7"},
{file = "matplotlib-3.8.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:e17674ee127f78f26fea237e7f4d5cf910a8be82beb6260fedf358b88075b823"},
{file = "matplotlib-3.8.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d921c0270647ab11c3ef283efaaa3d46fd005ba233bfb3aea75231cdf3656de8"},
{file = "matplotlib-3.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2afe7d2f8c9e35e94fbcfcfd9b28f29cb32f0a9068cba469cf907428379c8db9"},
{file = "matplotlib-3.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5a504ff40f81d6233603475a45497a6dca37a873393fa20ae6f7dd6596ef72b"},
{file = "matplotlib-3.8.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:cd54bbf089953140905768ed4626d7223e1ad1d7e2a138410a9c4d3b865ccd80"},
{file = "matplotlib-3.8.1-cp312-cp312-win_amd64.whl", hash = "sha256:27502d2452208ae784c19504644f09f83742809143bbeae147617640930aa344"},
{file = "matplotlib-3.8.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:f55fb5ff02d999a100be28bf6ffe826e1867a54c7b465409685332c9dd48ffa5"},
{file = "matplotlib-3.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:afb72822ae410d62aa1a2920c6563cb5680de9078358f0e9474396c6c3e06be2"},
{file = "matplotlib-3.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:43cf368a4a1d8cbc426944806e5e183cead746647a64d2cdb786441546235967"},
{file = "matplotlib-3.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c54c55457c7f5ea4dfdba0020004fc7667f5c10c8d9b8010d735345acc06c9b8"},
{file = "matplotlib-3.8.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e3bb809b743653b5aab5d72ee45c8c937c28e147b0846b0826a54bece898608c"},
{file = "matplotlib-3.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:c1b0ecaa0d1f4fe1e30f625a2347f0034a89a7d17c39efbb502e554d92ee2f61"},
{file = "matplotlib-3.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ca84deaa38cb64b7dd160ca2046b45f7b5dbff2b0179642e1339fadc337446c9"},
{file = "matplotlib-3.8.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed3b29f54f6bbf3eaca4cbd23bc260155153ace63b7f597c474fa6fc6f386530"},
{file = "matplotlib-3.8.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0d24c47a1bb47e392fbcd26fe322e4ff3431653ac1e8718e4e147d450ae97a44"},
{file = "matplotlib-3.8.1.tar.gz", hash = "sha256:044df81c1f6f3a8e52d70c4cfcb44e77ea9632a10929932870dfaa90de94365d"},
]
[package.dependencies]
contourpy = ">=1.0.1"
cycler = ">=0.10"
fonttools = ">=4.22.0"
kiwisolver = ">=1.0.1"
kiwisolver = ">=1.3.1"
numpy = ">=1.21,<2"
packaging = ">=20.0"
pillow = ">=6.2.0"
pillow = ">=8"
pyparsing = ">=2.3.1"
python-dateutil = ">=2.7"
setuptools_scm = ">=7"
[[package]]
name = "matplotlib-inline"
@ -4291,6 +4290,7 @@ files = [
{file = "psycopg2_binary-2.9.9-cp311-cp311-win32.whl", hash = "sha256:dc4926288b2a3e9fd7b50dc6a1909a13bbdadfc67d93f3374d984e56f885579d"},
{file = "psycopg2_binary-2.9.9-cp311-cp311-win_amd64.whl", hash = "sha256:b76bedd166805480ab069612119ea636f5ab8f8771e640ae103e05a4aae3e417"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8532fd6e6e2dc57bcb3bc90b079c60de896d2128c5d9d6f24a63875a95a088cf"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b0605eaed3eb239e87df0d5e3c6489daae3f7388d455d0c0b4df899519c6a38d"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f8544b092a29a6ddd72f3556a9fcf249ec412e10ad28be6a0c0d948924f2212"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2d423c8d8a3c82d08fe8af900ad5b613ce3632a1249fd6a223941d0735fce493"},
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e5afae772c00980525f6d6ecf7cbca55676296b580c0e6abb407f15f3706996"},
@ -5766,27 +5766,6 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
[[package]]
name = "setuptools-scm"
version = "8.0.4"
description = "the blessed package to manage your versions by scm tags"
optional = false
python-versions = ">=3.8"
files = [
{file = "setuptools-scm-8.0.4.tar.gz", hash = "sha256:b5f43ff6800669595193fd09891564ee9d1d7dcb196cab4b2506d53a2e1c95c7"},
{file = "setuptools_scm-8.0.4-py3-none-any.whl", hash = "sha256:b47844cd2a84b83b3187a5782c71128c28b4c94cad8bfb871da2784a5cb54c4f"},
]
[package.dependencies]
packaging = ">=20"
setuptools = "*"
typing-extensions = "*"
[package.extras]
docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
rich = ["rich"]
test = ["build", "pytest", "rich", "wheel"]
[[package]]
name = "shapely"
version = "1.8.5.post1"
@ -7465,4 +7444,4 @@ web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "s
[metadata]
lock-version = "2.0"
python-versions = "^3.11"
content-hash = "17ec5f262fd5dec9a92e4a8c7da21de31c9854376b2275007b4afcccd5735292"
content-hash = "a577c3273e7dd742d2e46e5ae5a62297b51a271f4c2ffed3d21f42b2df0f4d24"

View File

@ -59,7 +59,7 @@ datetime = "^5.2"
deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"}
frozendict = "^2.3.8"
loguru = "^0.7.0"
matplotlib = "^3.7.2"
matplotlib = "^3.8.1"
pgeocode = "^0.4.1"
psycopg2-binary = "^2.9.7"
pymongo = "^4.5.0"