Mercurial > public > eldamwl_plotting / file revision

[[package]]
name = "certifi"
version = "2023.11.17"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = ">=3.6"

[[package]]
name = "cftime"
version = "1.6.3"
description = "Time-handling functionality from netcdf4-python"
category = "main"
optional = false
python-versions = ">=3.8"

[package.dependencies]
numpy = [
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]

[[package]]
name = "h5netcdf"
version = "1.3.0"
description = "netCDF4 via h5py"
category = "main"
optional = false
python-versions = ">=3.9"

[package.dependencies]
h5py = "*"
packaging = "*"

[package.extras]
test = ["netcdf4", "pytest"]

[[package]]
name = "h5py"
version = "3.10.0"
description = "Read and write HDF5 files from Python"
category = "main"
optional = false
python-versions = ">=3.8"

[package.dependencies]
numpy = ">=1.17.3"

[[package]]
name = "netcdf4"
version = "1.6.5"
description = "Provides an object-oriented python interface to the netCDF version 4 library"
category = "main"
optional = false
python-versions = ">=3.7"

[package.dependencies]
certifi = "*"
cftime = "*"
numpy = "*"

[package.extras]
tests = ["cython", "packaging", "pytest"]

[[package]]
name = "numpy"
version = "1.26.3"
description = "Fundamental package for array computing in Python"
category = "main"
optional = false
python-versions = ">=3.9"

[[package]]
name = "packaging"
version = "23.2"
description = "Core utilities for Python packages"
category = "main"
optional = false
python-versions = ">=3.7"

[[package]]
name = "pandas"
version = "2.1.4"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.9"

[package.dependencies]
numpy = [
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    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
    {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
tzdata = ">=2022.1"

[package.extras]
test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"]
fss = ["fsspec (>=2022.05.0)"]
aws = ["s3fs (>=2022.05.0)"]
gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"]
parquet = ["pyarrow (>=7.0.0)"]
feather = ["pyarrow (>=7.0.0)"]
hdf5 = ["tables (>=3.7.0)"]
spss = ["pyreadstat (>=1.1.5)"]
postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
sql-other = ["SQLAlchemy (>=1.4.36)"]
html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
xml = ["lxml (>=4.8.0)"]
plot = ["matplotlib (>=3.6.1)"]
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
compression = ["zstandard (>=0.17.0)"]
consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
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)"]

[[package]]
name = "plotly"
version = "5.18.0"
description = "An open-source, interactive data visualization library for Python"
category = "main"
optional = false
python-versions = ">=3.6"

[package.dependencies]
packaging = "*"
tenacity = ">=6.2.0"

[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"

[package.dependencies]
six = ">=1.5"

[[package]]
name = "pytz"
version = "2023.3.post1"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"

[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"

[[package]]
name = "tenacity"
version = "8.2.3"
description = "Retry code until it succeeds"
category = "main"
optional = false
python-versions = ">=3.7"

[package.extras]
doc = ["reno", "sphinx", "tornado (>=4.5)"]

[[package]]
name = "tzdata"
version = "2023.4"
description = "Provider of IANA time zone data"
category = "main"
optional = false
python-versions = ">=2"

[[package]]
name = "xarray"
version = "2023.12.0"
description = "N-D labeled arrays and datasets in Python"
category = "main"
optional = false
python-versions = ">=3.9"

[package.dependencies]
numpy = ">=1.22"
packaging = ">=21.3"
pandas = ">=1.4"

[package.extras]
accel = ["scipy", "bottleneck", "numbagg", "flox", "opt-einsum"]
complete = ["xarray"]
io = ["netcdf4", "h5netcdf", "scipy", "zarr", "fsspec", "cftime", "pooch", "pydap"]
parallel = ["dask"]
viz = ["matplotlib", "seaborn", "nc-time-axis"]

[metadata]
lock-version = "1.1"
python-versions = "^3.9"
content-hash = "a29db2b9d5a1fda0e045dfa5a0c1992490f2a2fc86f2c5283fbe0a691d860dd4"

[metadata.files]
certifi = []
cftime = []
h5netcdf = []
h5py = []
netcdf4 = []
numpy = []
packaging = []
pandas = []
plotly = []
python-dateutil = []
pytz = []
six = []
tenacity = []
tzdata = []
xarray = []