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Fix Jupyter headings not rendering with pandoc (#318)
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tomvothecoder committed Aug 17, 2022
1 parent 641b9f2 commit d3511aa
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20 changes: 10 additions & 10 deletions docs/examples/climatology-and-departures.ipynb
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"\n",
"We are using xarray's OPeNDAP support to read a netCDF4 dataset file directly from its source. The data is not loaded over the network until we perform operations on it (e.g., temperature unit adjustment).\n",
"\n",
"More information on the xarray's OpenDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
"More information on the xarray's OPeNDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.1 Seasonal Cycle\n",
"### Seasonal Cycle\n",
"\n",
"**Groups time coordinates by season**\n",
"\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.2 Custom Seasonal Cycle\n",
"### Custom Seasonal Cycle\n",
"\n",
"**Groups time coordinates by season**\n",
"\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.3 Annual Cycle\n",
"### Annual Cycle\n",
"\n",
"**Groups time coordinates by month**"
]
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.4 Daily Cycle\n",
"### Daily Cycle\n",
"\n",
"**Groups time coordinates by month and day.**"
]
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.1. Seasonal Cycle\n",
"### Seasonal Cycle\n",
"\n",
"The `season_config` dictionary keyword argument can be passed to `.departures()` for more granular configuration. We will be sticking with the default settings.\n"
]
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.2. Custom Seasonal Cycle\n",
"### Custom Seasonal Cycle\n",
"\n",
"To calculate custom seasonal cycle departures, we must first define our custom seasons using the `season_config` dictionary and the `\"custom_seasons\"` key.\n",
"\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.3. Annual Cycle"
"### Annual Cycle"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"### 3.4. Daily Cycle\n"
"### Daily Cycle\n"
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
"version": "3.9.13"
},
"toc": {
"base_numbering": 1,
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2 changes: 1 addition & 1 deletion docs/examples/general-utilities.ipynb
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
"version": "3.9.13"
},
"vscode": {
"interpreter": {
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4 changes: 2 additions & 2 deletions docs/examples/spatial-average.ipynb
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"\n",
"We are using xarray's OPeNDAP support to read a netCDF4 dataset file directly from its source. The data is not loaded over the network until we perform operations on it (e.g., temperature unit adjustment).\n",
"\n",
"More information on the xarray's OpenDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
"More information on the xarray's OPeNDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
"version": "3.9.13"
},
"orig_nbformat": 4
},
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