1
0
mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-11-25 23:28:18 +01:00

fix(deps): update dependency pandas to v2.2.2

This commit is contained in:
renovate[bot] 2024-04-10 20:17:56 +00:00 committed by GitHub
parent 4f3174a543
commit 0b1a79a559
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194

111
poetry.lock generated
View File

@ -1085,75 +1085,77 @@ files = [
[[package]] [[package]]
name = "pandas" name = "pandas"
version = "2.1.4" version = "2.2.2"
description = "Powerful data structures for data analysis, time series, and statistics" description = "Powerful data structures for data analysis, time series, and statistics"
optional = false optional = false
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"}, {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
{file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"},
{file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b728fb8deba8905b319f96447a27033969f3ea1fea09d07d296c9030ab2ed1d"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"},
{file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00028e6737c594feac3c2df15636d73ace46b8314d236100b57ed7e4b9ebe8d9"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"},
{file = "pandas-2.1.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:426dc0f1b187523c4db06f96fb5c8d1a845e259c99bda74f7de97bd8a3bb3139"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"},
{file = "pandas-2.1.4-cp310-cp310-win_amd64.whl", hash = "sha256:f237e6ca6421265643608813ce9793610ad09b40154a3344a088159590469e46"}, {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"},
{file = "pandas-2.1.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b7d852d16c270e4331f6f59b3e9aa23f935f5c4b0ed2d0bc77637a8890a5d092"}, {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"},
{file = "pandas-2.1.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bd7d5f2f54f78164b3d7a40f33bf79a74cdee72c31affec86bfcabe7e0789821"}, {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"},
{file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0aa6e92e639da0d6e2017d9ccff563222f4eb31e4b2c3cf32a2a392fc3103c0d"}, {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"},
{file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d797591b6846b9db79e65dc2d0d48e61f7db8d10b2a9480b4e3faaddc421a171"}, {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"},
{file = "pandas-2.1.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d2d3e7b00f703aea3945995ee63375c61b2e6aa5aa7871c5d622870e5e137623"}, {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"},
{file = "pandas-2.1.4-cp311-cp311-win_amd64.whl", hash = "sha256:dc9bf7ade01143cddc0074aa6995edd05323974e6e40d9dbde081021ded8510e"}, {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"},
{file = "pandas-2.1.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:482d5076e1791777e1571f2e2d789e940dedd927325cc3cb6d0800c6304082f6"}, {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"},
{file = "pandas-2.1.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8a706cfe7955c4ca59af8c7a0517370eafbd98593155b48f10f9811da440248b"}, {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"},
{file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0513a132a15977b4a5b89aabd304647919bc2169eac4c8536afb29c07c23540"}, {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"},
{file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9f17f2b6fc076b2a0078862547595d66244db0f41bf79fc5f64a5c4d635bead"}, {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"},
{file = "pandas-2.1.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:45d63d2a9b1b37fa6c84a68ba2422dc9ed018bdaa668c7f47566a01188ceeec1"}, {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"},
{file = "pandas-2.1.4-cp312-cp312-win_amd64.whl", hash = "sha256:f69b0c9bb174a2342818d3e2778584e18c740d56857fc5cdb944ec8bbe4082cf"}, {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"},
{file = "pandas-2.1.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3f06bda01a143020bad20f7a85dd5f4a1600112145f126bc9e3e42077c24ef34"}, {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"},
{file = "pandas-2.1.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab5796839eb1fd62a39eec2916d3e979ec3130509930fea17fe6f81e18108f6a"}, {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"},
{file = "pandas-2.1.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edbaf9e8d3a63a9276d707b4d25930a262341bca9874fcb22eff5e3da5394732"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"},
{file = "pandas-2.1.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ebfd771110b50055712b3b711b51bee5d50135429364d0498e1213a7adc2be8"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"},
{file = "pandas-2.1.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8ea107e0be2aba1da619cc6ba3f999b2bfc9669a83554b1904ce3dd9507f0860"}, {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"},
{file = "pandas-2.1.4-cp39-cp39-win_amd64.whl", hash = "sha256:d65148b14788b3758daf57bf42725caa536575da2b64df9964c563b015230984"}, {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"},
{file = "pandas-2.1.4.tar.gz", hash = "sha256:fcb68203c833cc735321512e13861358079a96c174a61f5116a1de89c58c0ef7"}, {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"},
{file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"},
] ]
[package.dependencies] [package.dependencies]
bottleneck = {version = ">=1.3.4", optional = true, markers = "extra == \"performance\""} bottleneck = {version = ">=1.3.6", optional = true, markers = "extra == \"performance\""}
numba = {version = ">=0.55.2", optional = true, markers = "extra == \"performance\""} numba = {version = ">=0.56.4", optional = true, markers = "extra == \"performance\""}
numexpr = {version = ">=2.8.0", optional = true, markers = "extra == \"performance\""} numexpr = {version = ">=2.8.4", optional = true, markers = "extra == \"performance\""}
numpy = [ numpy = [
{version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""},
{version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""}, {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
] ]
pyarrow = {version = ">=7.0.0", optional = true, markers = "extra == \"feather\""} pyarrow = {version = ">=10.0.1", optional = true, markers = "extra == \"feather\""}
python-dateutil = ">=2.8.2" python-dateutil = ">=2.8.2"
pytz = ">=2020.1" pytz = ">=2020.1"
tzdata = ">=2022.1" tzdata = ">=2022.7"
[package.extras] [package.extras]
all = ["PyQt5 (>=5.15.6)", "SQLAlchemy (>=1.4.36)", "beautifulsoup4 (>=4.11.1)", "bottleneck (>=1.3.4)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=0.8.1)", "fsspec (>=2022.05.0)", "gcsfs (>=2022.05.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.8.0)", "matplotlib (>=3.6.1)", "numba (>=0.55.2)", "numexpr (>=2.8.0)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pandas-gbq (>=0.17.5)", "psycopg2 (>=2.9.3)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "s3fs (>=2022.05.0)", "scipy (>=1.8.1)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"] all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
aws = ["s3fs (>=2022.05.0)"] aws = ["s3fs (>=2022.11.0)"]
clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"] clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
compression = ["zstandard (>=0.17.0)"] compression = ["zstandard (>=0.19.0)"]
computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"] computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
consortium-standard = ["dataframe-api-compat (>=0.1.7)"] consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"] excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
feather = ["pyarrow (>=7.0.0)"] feather = ["pyarrow (>=10.0.1)"]
fss = ["fsspec (>=2022.05.0)"] fss = ["fsspec (>=2022.11.0)"]
gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"] gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
hdf5 = ["tables (>=3.7.0)"] hdf5 = ["tables (>=3.8.0)"]
html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"] html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"] mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"] output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
parquet = ["pyarrow (>=7.0.0)"] parquet = ["pyarrow (>=10.0.1)"]
performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"] performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
plot = ["matplotlib (>=3.6.1)"] plot = ["matplotlib (>=3.6.3)"]
postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"] postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
spss = ["pyreadstat (>=1.1.5)"] pyarrow = ["pyarrow (>=10.0.1)"]
sql-other = ["SQLAlchemy (>=1.4.36)"] spss = ["pyreadstat (>=1.2.0)"]
sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
xml = ["lxml (>=4.8.0)"] xml = ["lxml (>=4.9.2)"]
[[package]] [[package]]
name = "parsedatetime" name = "parsedatetime"
@ -1527,6 +1529,7 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},