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Merged
sandorkertesz merged 4 commits into from
Jun 29, 2026
Merged

Merge main into develop #180

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47909ac
Merge release 1.0.0 into main
sandorkertesz Jun 29, 2026
404441e
Merge pull request #178 from ecmwf/merge/release-1.0.0-into-main
sandorkertesz Jun 29, 2026
33b5157
Update notebooks
sandorkertesz Jun 29, 2026
44b6777
Merge pull request #179 from ecmwf/docs/update-notebooks
sandorkertesz Jun 29, 2026
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5 changes: 5 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -78,6 +78,11 @@ docs/examples/*.tar
docs/examples/*.zip
docs/examples/*.grib
docs/examples/_*
docs/tutorials/*.tar
docs/tutorials/*.zip
docs/tutorials/*.grib
docs/tutorials/_*


# PyBuilder
target/
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20 changes: 15 additions & 5 deletions docs/conf.py
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Expand Up @@ -30,7 +30,9 @@
else:
source_branch = "main"

src_path = os.path.normpath(os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "src"))
src_path = os.path.normpath(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "src")
)
sys.path.insert(0, src_path)

# Adds path to the folder _ext, where extensions are stored
Expand Down Expand Up @@ -126,11 +128,19 @@
# clean_autodocs.py feature flags
# Set to False/None to disable or soften the corresponding processing step.
autodocs_delete_hidden = True # delete RST files for private/hidden modules
autodocs_replace_automodule = True # replace automodule directives with autosummary tables
autodocs_short_display_names = True # shorten toctree labels to the last module component
autodocs_top_level_maxdepth = 1 # :maxdepth: on top-level page (None = keep sphinx-apidoc value)
autodocs_replace_automodule = (
True # replace automodule directives with autosummary tables
)
autodocs_short_display_names = (
True # shorten toctree labels to the last module component
)
autodocs_top_level_maxdepth = (
1 # :maxdepth: on top-level page (None = keep sphinx-apidoc value)
)
autodocs_rename_titles = False # strip " package"/" module" from RST page headings
autodocs_top_level_title = "API Reference" # top-level page heading (used when rename_titles=True)
autodocs_top_level_title = (
"API Reference" # top-level page heading (used when rename_titles=True)
)
autodocs_titlesonly = False # inject :titlesonly: into toctree directives

# List of patterns, relative to source directory, that match files and
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56 changes: 42 additions & 14 deletions docs/tutorials/comparing-models-solutions.ipynb
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Expand Up @@ -5,7 +5,7 @@
"id": "99b8444d",
"metadata": {},
"source": [
"## Data from different sources\n",
"# Data from different sources\n",
"\n",
"In this notebook, we will compare global temperature anomalies from two datasets:\n",
"- [ERA5 reanalysis](https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels-monthly-means?tab=download) from **ECMWF**, available through the Climate Data Store.\n",
Expand Down Expand Up @@ -96,7 +96,8 @@
],
"source": [
"era5_reference_data = ekd.from_source(\n",
" \"cds\", \"reanalysis-era5-single-levels-monthly-means\",\n",
" \"cds\",\n",
" \"reanalysis-era5-single-levels-monthly-means\",\n",
" {\n",
" \"product_type\": \"monthly_averaged_reanalysis\",\n",
" \"variable\": \"2m_temperature\",\n",
Expand All @@ -107,7 +108,8 @@
")\n",
"\n",
"era5_2024_data = ekd.from_source(\n",
" \"cds\", \"reanalysis-era5-single-levels-monthly-means\",\n",
" \"cds\",\n",
" \"reanalysis-era5-single-levels-monthly-means\",\n",
" {\n",
" \"product_type\": \"monthly_averaged_reanalysis\",\n",
" \"variable\": \"2m_temperature\",\n",
Expand Down Expand Up @@ -1799,10 +1801,28 @@
"source": [
"style = ekp.styles.Contour(\n",
" colors=[\n",
" \"#1B2C62\", \"#1F4182\", \"#2355A1\", \"#3978BB\", \"#519BD2\", \"#71B8E4\",\n",
" \"#91D1F2\", \"#B0E1F8\", \"#CBEBF9\", \"#E3F4FB\", \"#F5FBFE\", \"#FEFBEA\",\n",
" \"#FDF2BC\", \"#FCE18A\", \"#FDC659\", \"#FDA731\", \"#F9872D\", \"#F26429\",\n",
" \"#E34128\", \"#D01F27\", \"#B31A21\", \"#921519\",\n",
" \"#1B2C62\",\n",
" \"#1F4182\",\n",
" \"#2355A1\",\n",
" \"#3978BB\",\n",
" \"#519BD2\",\n",
" \"#71B8E4\",\n",
" \"#91D1F2\",\n",
" \"#B0E1F8\",\n",
" \"#CBEBF9\",\n",
" \"#E3F4FB\",\n",
" \"#F5FBFE\",\n",
" \"#FEFBEA\",\n",
" \"#FDF2BC\",\n",
" \"#FCE18A\",\n",
" \"#FDC659\",\n",
" \"#FDA731\",\n",
" \"#F9872D\",\n",
" \"#F26429\",\n",
" \"#E34128\",\n",
" \"#D01F27\",\n",
" \"#B31A21\",\n",
" \"#921519\",\n",
" ],\n",
" levels=range(-7, 8),\n",
" ticks=range(-7, 8),\n",
Expand Down Expand Up @@ -1879,7 +1899,9 @@
"# We can directly access the underlying matplotlib objects to do this\n",
"x = [-180, -180, 180, 180, -180]\n",
"y = [-90, 90, 90, -90, -90]\n",
"figure[0].ax.fill(x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0)\n",
"figure[0].ax.fill(\n",
" x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0\n",
")\n",
"\n",
"figure.show()"
]
Expand Down Expand Up @@ -1917,7 +1939,8 @@
],
"source": [
"era5_reference_data = ekd.from_source(\n",
" \"cds\", \"reanalysis-era5-single-levels-monthly-means\",\n",
" \"cds\",\n",
" \"reanalysis-era5-single-levels-monthly-means\",\n",
" {\n",
" \"product_type\": \"monthly_averaged_reanalysis\",\n",
" \"variable\": \"2m_temperature\",\n",
Expand All @@ -1928,7 +1951,8 @@
")\n",
"\n",
"era5_2025_data = ekd.from_source(\n",
" \"cds\", \"reanalysis-era5-single-levels-monthly-means\",\n",
" \"cds\",\n",
" \"reanalysis-era5-single-levels-monthly-means\",\n",
" {\n",
" \"product_type\": \"monthly_averaged_reanalysis\",\n",
" \"variable\": \"2m_temperature\",\n",
Expand Down Expand Up @@ -2042,7 +2066,9 @@
"# We can directly access the underlying matplotlib objects to do this\n",
"x = [-180, -180, 180, 180, -180]\n",
"y = [-90, 90, 90, -90, -90]\n",
"figure[0].ax.fill(x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0)\n",
"figure[0].ax.fill(\n",
" x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0\n",
")\n",
"\n",
"figure.show()"
]
Expand Down Expand Up @@ -2112,15 +2138,17 @@
"# We can directly access the underlying matplotlib objects to do this\n",
"x = [-180, -180, 180, 180, -180]\n",
"y = [-90, 90, 90, -90, -90]\n",
"figure[0].ax.fill(x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0)\n",
"figure[0].ax.fill(\n",
" x, y, transform=ccrs.PlateCarree(), hatch=\"///////\", fill=False, zorder=0\n",
")\n",
"\n",
"figure.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ek",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -2134,7 +2162,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.18"
"version": "3.13.1"
}
},
"nbformat": 4,
Expand Down
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