poetry.lock

Tue, 02 Jul 2024 10:29:59 +0000

author
pilar <pilar.gumaclaramunt@cnr.it>
date
Tue, 02 Jul 2024 10:29:59 +0000
changeset 3
bd2181f8295e
parent 2
763a7ac22031
permissions
-rw-r--r--

Added two sample plots

pilar@0 1 [[package]]
pilar@0 2 name = "certifi"
pilar@0 3 version = "2023.11.17"
pilar@0 4 description = "Python package for providing Mozilla's CA Bundle."
pilar@0 5 category = "main"
pilar@0 6 optional = false
pilar@0 7 python-versions = ">=3.6"
pilar@0 8
pilar@0 9 [[package]]
pilar@0 10 name = "cftime"
pilar@0 11 version = "1.6.3"
pilar@0 12 description = "Time-handling functionality from netcdf4-python"
pilar@0 13 category = "main"
pilar@0 14 optional = false
pilar@0 15 python-versions = ">=3.8"
pilar@0 16
pilar@0 17 [package.dependencies]
pilar@0 18 numpy = [
pilar@0 19 {version = ">1.13.3", markers = "python_version < \"3.12.0.rc1\""},
pilar@0 20 {version = ">=1.26.0b1", markers = "python_version >= \"3.12.0.rc1\""},
pilar@0 21 ]
pilar@0 22
pilar@0 23 [[package]]
pilar@0 24 name = "h5netcdf"
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pilar@0 26 description = "netCDF4 via h5py"
pilar@0 27 category = "main"
pilar@0 28 optional = false
pilar@0 29 python-versions = ">=3.9"
pilar@0 30
pilar@0 31 [package.dependencies]
pilar@0 32 h5py = "*"
pilar@0 33 packaging = "*"
pilar@0 34
pilar@0 35 [package.extras]
pilar@0 36 test = ["netcdf4", "pytest"]
pilar@0 37
pilar@0 38 [[package]]
pilar@0 39 name = "h5py"
pilar@0 40 version = "3.10.0"
pilar@0 41 description = "Read and write HDF5 files from Python"
pilar@0 42 category = "main"
pilar@0 43 optional = false
pilar@0 44 python-versions = ">=3.8"
pilar@0 45
pilar@0 46 [package.dependencies]
pilar@0 47 numpy = ">=1.17.3"
pilar@0 48
pilar@0 49 [[package]]
pilar@2 50 name = "nc"
pilar@2 51 version = "1.0.2"
pilar@2 52 description = "🎨 Named colors in Python 🎨"
pilar@2 53 category = "main"
pilar@2 54 optional = false
pilar@2 55 python-versions = ">=3.8,<4.0"
pilar@2 56
pilar@2 57 [package.dependencies]
pilar@2 58 xmod = ">=1.4.0,<2.0.0"
pilar@2 59
pilar@2 60 [[package]]
pilar@0 61 name = "netcdf4"
pilar@0 62 version = "1.6.5"
pilar@0 63 description = "Provides an object-oriented python interface to the netCDF version 4 library"
pilar@0 64 category = "main"
pilar@0 65 optional = false
pilar@0 66 python-versions = ">=3.7"
pilar@0 67
pilar@0 68 [package.dependencies]
pilar@0 69 certifi = "*"
pilar@0 70 cftime = "*"
pilar@0 71 numpy = "*"
pilar@0 72
pilar@0 73 [package.extras]
pilar@0 74 tests = ["cython", "packaging", "pytest"]
pilar@0 75
pilar@0 76 [[package]]
pilar@0 77 name = "numpy"
pilar@0 78 version = "1.26.3"
pilar@0 79 description = "Fundamental package for array computing in Python"
pilar@0 80 category = "main"
pilar@0 81 optional = false
pilar@0 82 python-versions = ">=3.9"
pilar@0 83
pilar@0 84 [[package]]
pilar@0 85 name = "packaging"
pilar@0 86 version = "23.2"
pilar@0 87 description = "Core utilities for Python packages"
pilar@0 88 category = "main"
pilar@0 89 optional = false
pilar@0 90 python-versions = ">=3.7"
pilar@0 91
pilar@0 92 [[package]]
pilar@0 93 name = "pandas"
pilar@0 94 version = "2.1.4"
pilar@0 95 description = "Powerful data structures for data analysis, time series, and statistics"
pilar@0 96 category = "main"
pilar@0 97 optional = false
pilar@0 98 python-versions = ">=3.9"
pilar@0 99
pilar@0 100 [package.dependencies]
pilar@0 101 numpy = [
pilar@0 102 {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
pilar@0 103 {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
pilar@0 104 {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
pilar@0 105 ]
pilar@0 106 python-dateutil = ">=2.8.2"
pilar@0 107 pytz = ">=2020.1"
pilar@0 108 tzdata = ">=2022.1"
pilar@0 109
pilar@0 110 [package.extras]
pilar@0 111 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
pilar@0 112 performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
pilar@0 113 computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"]
pilar@0 114 fss = ["fsspec (>=2022.05.0)"]
pilar@0 115 aws = ["s3fs (>=2022.05.0)"]
pilar@0 116 gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
pilar@0 117 excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"]
pilar@0 118 parquet = ["pyarrow (>=7.0.0)"]
pilar@0 119 feather = ["pyarrow (>=7.0.0)"]
pilar@0 120 hdf5 = ["tables (>=3.7.0)"]
pilar@0 121 spss = ["pyreadstat (>=1.1.5)"]
pilar@0 122 postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
pilar@0 123 mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
pilar@0 124 sql-other = ["SQLAlchemy (>=1.4.36)"]
pilar@0 125 html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
pilar@0 126 xml = ["lxml (>=4.8.0)"]
pilar@0 127 plot = ["matplotlib (>=3.6.1)"]
pilar@0 128 output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
pilar@0 129 clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
pilar@0 130 compression = ["zstandard (>=0.17.0)"]
pilar@0 131 consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
pilar@0 132 all = ["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)", "PyQt5 (>=5.15.6)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "scipy (>=1.8.1)", "s3fs (>=2022.05.0)", "SQLAlchemy (>=1.4.36)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"]
pilar@0 133
pilar@0 134 [[package]]
pilar@0 135 name = "plotly"
pilar@0 136 version = "5.18.0"
pilar@0 137 description = "An open-source, interactive data visualization library for Python"
pilar@0 138 category = "main"
pilar@0 139 optional = false
pilar@0 140 python-versions = ">=3.6"
pilar@0 141
pilar@0 142 [package.dependencies]
pilar@0 143 packaging = "*"
pilar@0 144 tenacity = ">=6.2.0"
pilar@0 145
pilar@0 146 [[package]]
pilar@0 147 name = "python-dateutil"
pilar@0 148 version = "2.8.2"
pilar@0 149 description = "Extensions to the standard Python datetime module"
pilar@0 150 category = "main"
pilar@0 151 optional = false
pilar@0 152 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
pilar@0 153
pilar@0 154 [package.dependencies]
pilar@0 155 six = ">=1.5"
pilar@0 156
pilar@0 157 [[package]]
pilar@0 158 name = "pytz"
pilar@0 159 version = "2023.3.post1"
pilar@0 160 description = "World timezone definitions, modern and historical"
pilar@0 161 category = "main"
pilar@0 162 optional = false
pilar@0 163 python-versions = "*"
pilar@0 164
pilar@0 165 [[package]]
pilar@0 166 name = "six"
pilar@0 167 version = "1.16.0"
pilar@0 168 description = "Python 2 and 3 compatibility utilities"
pilar@0 169 category = "main"
pilar@0 170 optional = false
pilar@0 171 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
pilar@0 172
pilar@0 173 [[package]]
pilar@0 174 name = "tenacity"
pilar@0 175 version = "8.2.3"
pilar@0 176 description = "Retry code until it succeeds"
pilar@0 177 category = "main"
pilar@0 178 optional = false
pilar@0 179 python-versions = ">=3.7"
pilar@0 180
pilar@0 181 [package.extras]
pilar@0 182 doc = ["reno", "sphinx", "tornado (>=4.5)"]
pilar@0 183
pilar@0 184 [[package]]
pilar@0 185 name = "tzdata"
pilar@0 186 version = "2023.4"
pilar@0 187 description = "Provider of IANA time zone data"
pilar@0 188 category = "main"
pilar@0 189 optional = false
pilar@0 190 python-versions = ">=2"
pilar@0 191
pilar@0 192 [[package]]
pilar@0 193 name = "xarray"
pilar@0 194 version = "2023.12.0"
pilar@0 195 description = "N-D labeled arrays and datasets in Python"
pilar@0 196 category = "main"
pilar@0 197 optional = false
pilar@0 198 python-versions = ">=3.9"
pilar@0 199
pilar@0 200 [package.dependencies]
pilar@0 201 numpy = ">=1.22"
pilar@0 202 packaging = ">=21.3"
pilar@0 203 pandas = ">=1.4"
pilar@0 204
pilar@0 205 [package.extras]
pilar@0 206 accel = ["scipy", "bottleneck", "numbagg", "flox", "opt-einsum"]
pilar@0 207 complete = ["xarray"]
pilar@0 208 io = ["netcdf4", "h5netcdf", "scipy", "zarr", "fsspec", "cftime", "pooch", "pydap"]
pilar@0 209 parallel = ["dask"]
pilar@0 210 viz = ["matplotlib", "seaborn", "nc-time-axis"]
pilar@0 211
pilar@2 212 [[package]]
pilar@2 213 name = "xmod"
pilar@2 214 version = "1.8.1"
pilar@2 215 description = "🌱 Turn any object into a module 🌱"
pilar@2 216 category = "main"
pilar@2 217 optional = false
pilar@2 218 python-versions = ">=3.8"
pilar@2 219
pilar@0 220 [metadata]
pilar@0 221 lock-version = "1.1"
pilar@0 222 python-versions = "^3.9"
pilar@2 223 content-hash = "6877e91d7c318a31c6ee3e8f30fb010d79d92e1443c193ec4d043a9a25e2b10e"
pilar@0 224
pilar@0 225 [metadata.files]
pilar@0 226 certifi = []
pilar@0 227 cftime = []
pilar@0 228 h5netcdf = []
pilar@0 229 h5py = []
pilar@2 230 nc = []
pilar@0 231 netcdf4 = []
pilar@0 232 numpy = []
pilar@0 233 packaging = []
pilar@0 234 pandas = []
pilar@0 235 plotly = []
pilar@0 236 python-dateutil = []
pilar@0 237 pytz = []
pilar@0 238 six = []
pilar@0 239 tenacity = []
pilar@0 240 tzdata = []
pilar@0 241 xarray = []
pilar@2 242 xmod = []

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