updates#3

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updates #3

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4 changes: 2 additions & 2 deletions Ch2_Intro_JypiterNotebook.ipynb
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
"source": [
"## __Test this:__\n",
"### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
"myvar = 5+6\n",
"myvar = 5 + 6\n",
"print(myvar)"
]
},
Expand DownExpand Up@@ -143,7 +143,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.7.10"
}
},
"nbformat": 4,
Expand Down
68 changes: 44 additions & 24 deletions Ch4a_Python_Tools.ipynb
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
"metadata": {},
"outputs": [],
"source": [
"# this library helps to make your code execution less messy\n",
"import warnings\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"# this library helps to make your code execution less messy\n",
"import warnings\n",
"warnings.simplefilter('ignore') # filter some warning messages"
"xr.set_options(keep_attrs=True)\n",
"warnings.simplefilter(\"ignore\") # filter some warning messages"
]
},
{
Expand All@@ -54,8 +56,8 @@
"metadata": {},
"outputs": [],
"source": [
"ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
"ds.close() # close the file, so can be used by you or others. it is good practice.\n",
"ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\") # read a local netcdf file\n",
"ds.close() # close the file, so can be used by you or others. it is good practice.\n",
"ds # display the content of the dataset object"
]
},
Expand All@@ -73,8 +75,10 @@
"outputs": [],
"source": [
"# assign a string variable with the url address of the datafile\n",
"url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
"ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
"url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
"ds_sst = xr.open_dataset(\n",
" url\n",
") # reads the online file and display it the same way as local files\n",
"ds_sst"
]
},
Expand All@@ -96,7 +100,7 @@
"metadata": {},
"outputs": [],
"source": [
"ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
"ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
]
},
{
Expand All@@ -105,7 +109,9 @@
"metadata": {},
"outputs": [],
"source": [
"ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
"ds.sst[\n",
" 0, :, :\n",
"].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
]
},
{
Expand All@@ -123,7 +129,9 @@
"metadata": {},
"outputs": [],
"source": [
"ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
"ds.sst.mean(\n",
" dim=[\"latitude\", \"longitude\"]\n",
").plot() # we select a variable and average over spatial dimensions, and plot the final result"
]
},
{
Expand All@@ -141,7 +149,9 @@
"metadata": {},
"outputs": [],
"source": [
"ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
"ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
" dim=[\"time\"]\n",
").plot() # select a period of time"
]
},
{
Expand All@@ -150,7 +160,9 @@
"metadata": {},
"outputs": [],
"source": [
"ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
"ds.sst.sel(latitude=slice(50, -50)).mean(\n",
" dim=[\"time\"]\n",
").plot() # select a range of latitudes.\n",
"# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
]
},
Expand All@@ -167,7 +179,9 @@
"metadata": {},
"outputs": [],
"source": [
"ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
"ds_sst.analysed_sst.where(\n",
" ds_sst.mask == 1\n",
").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
"# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
]
},
Expand All@@ -186,10 +200,18 @@
"metadata": {},
"outputs": [],
"source": [
"# comparing 2015 and 2012 sea surface temperatures\n",
"(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
"-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
"# makes it easier to read"
"# comparing 2012 and 2015 sea surface temperatures\n",
"ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
"ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"(ds2015 - ds2012).plot() "
]
},
{
Expand All@@ -214,11 +236,9 @@
"outputs": [],
"source": [
"# same operation as before, minus the plotting method\n",
"my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
"# save the new dataset `my_ds` to a file in the directory data\n",
"my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
"# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
"my_ds"
"my_ds = ds2015 - ds2012\n",
"my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
"my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
]
},
{
Expand DownExpand Up@@ -258,7 +278,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All@@ -272,7 +292,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.7.10"
}
},
"nbformat": 4,
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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updates#3

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updates
#3
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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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updates#3

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cgentemann
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1
commit into

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updates
#3
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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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updates#3

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cgentemann
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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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updates#3

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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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updates#3

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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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updates#3

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cgentemann
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updates
#3
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4 changes: 2 additions & 2 deletions
Ch2_Intro_JypiterNotebook.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -76,7 +76,7 @@
 "source": [
 "## __Test this:__\n",
 "### change the type of this cell between __Markdown__ and __Code__, and then run it to see the difference\n",
 "myvar = 5+6\n",
 "myvar = 5 + 6\n",
 "print(myvar)"
 ]
 },
Expand DownExpand Up@@ -143,7 +143,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down

68 changes: 44 additions & 24 deletions
Ch4a_Python_Tools.ipynb

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -26,13 +26,15 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "\n",
 "import numpy as np\n",
 "import pandas as pd\n",
 "import xarray as xr\n",
 "\n",
 "# this library helps to make your code execution less messy\n",
 "import warnings\n",
 "warnings.simplefilter('ignore') # filter some warning messages"
 "xr.set_options(keep_attrs=True)\n",
 "warnings.simplefilter(\"ignore\") # filter some warning messages"
 ]
 },
 {
Expand All@@ -54,8 +56,8 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds = xr.open_dataset('./data/HadISST_sst_2000-2020.nc') # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds = xr.open_dataset(\"./data/HadISST_sst_2000-2020.nc\")  # read a local netcdf file\n",
 "ds.close() # close the file, so can be used by you or others. it is good practice.\n",
 "ds # display the content of the dataset object"
 ]
 },
Expand All@@ -73,8 +75,10 @@
 "outputs": [],
 "source": [
 "# assign a string variable with the url address of the datafile\n",
 "url = 'https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc'\n",
 "ds_sst = xr.open_dataset(url) # reads the online file and display it the same way as local files\n",
 "url = \"https://podaac-opendap.jpl.nasa.gov/opendap/allData/ghrsst/data/GDS2/L4/GLOB/CMC/CMC0.2deg/v2/2011/305/20111101120000-CMC-L4_GHRSST-SSTfnd-CMC0.2deg-GLOB-v02.0-fv02.0.nc\"\n",
 "ds_sst = xr.open_dataset(\n",
 " url\n",
 ") # reads the online file and display it the same way as local files\n",
 "ds_sst"
 ]
 },
Expand All@@ -96,7 +100,7 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 "ds_sst.analysed_sst.plot() # note that we needed to choose one of the variable in the Dataset to be displayed"
 ]
 },
 {
Expand All@@ -105,7 +109,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst[0,:,:].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 "ds.sst[\n",
 " 0, :, :\n",
 "].plot() # in addition to choosing the variable, we choose a time to visualize the spatial data (lat, lon) at that time (zero or the first time entry)"
 ]
 },
 {
Expand All@@ -123,7 +129,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.mean(dim=['latitude','longitude']).plot() # we select a variable and average over spatial dimensions, and plot the final result"
 "ds.sst.mean(\n",
 " dim=[\"latitude\", \"longitude\"]\n",
 ").plot() # we select a variable and average over spatial dimensions, and plot the final result"
 ]
 },
 {
Expand All@@ -141,7 +149,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(time=slice('2012-01-01','2013-12-31')).mean(dim=['time']).plot() # select a period of time"
 "ds.sst.sel(time=slice(\"2012-01-01\", \"2013-12-31\")).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a period of time"
 ]
 },
 {
Expand All@@ -150,7 +160,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds.sst.sel(latitude=slice(50,-50)).mean(dim=['time']).plot() # select a range of latitudes. \n",
 "ds.sst.sel(latitude=slice(50, -50)).mean(\n",
 " dim=[\"time\"]\n",
 ").plot() # select a range of latitudes.\n",
 "# note that we need to go from 50 to -50 as the coordinate data goes from 90 to -90"
 ]
 },
Expand All@@ -167,7 +179,9 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "ds_sst.analysed_sst.where(ds_sst.mask==1).plot() # we select, using .where, the data in the variable 'mask' that is equal to 1, \n",
 "ds_sst.analysed_sst.where(\n",
 " ds_sst.mask == 1\n",
 ").plot() # we select, using .where, the data in the variable 'mask' that is equal to 1,\n",
 "# applied it to the variable 'analysed_sst', and plot the data. Try changing the value for mask - for example 2 is land, 8 is ice."
 ]
 },
Expand All@@ -186,10 +200,18 @@
 "metadata": {},
 "outputs": [],
 "source": [
 "# comparing 2015 and 2012 sea surface temperatures\n",
 "(ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])\n",
 "-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time'])).plot() # note that in this case i could split the line in two\n",
 "# makes it easier to read"
 "# comparing 2012 and 2015 sea surface temperatures\n",
 "ds2012 = ds.sst.sel(time=\"2012\").mean(dim=[\"time\"])\n",
 "ds2015 = ds.sst.sel(time=\"2015\").mean(dim=[\"time\"])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": null,
 "metadata": {},
 "outputs": [],
 "source": [
 "(ds2015 - ds2012).plot() "
 ]
 },
 {
Expand All@@ -214,11 +236,9 @@
 "outputs": [],
 "source": [
 "# same operation as before, minus the plotting method\n",
 "my_ds = (ds.sst.sel(time=slice('2015-01-01','2015-12-31')).mean(dim=['time'])-ds.sst.sel(time=slice('2012-01-01','2012-12-31')).mean(dim=['time']))\n",
 "# save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds.to_netcdf('./data/Global_SST_2015-2012.nc')\n",
 "# explore the content of `my_ds`. note that the time dimension does not existe anymore\n",
 "my_ds"
 "my_ds = ds2015 - ds2012\n",
 "my_ds.to_netcdf(\"./data/Global_SST_2015-2012.nc\") # save the new dataset `my_ds` to a file in the directory data\n",
 "my_ds # explore the content of `my_ds`. note that the time dimension does not existe anymore"
 ]
 },
 {
Expand DownExpand Up@@ -258,7 +278,7 @@
 ],
 "metadata": {
 "kernelspec": {
 "display_name": "Python 3 (ipykernel)",
 "display_name": "Python 3",
 "language": "python",
 "name": "python3"
 },
Expand All@@ -272,7 +292,7 @@
 "name": "python",
 "nbconvert_exporter": "python",
 "pygments_lexer": "ipython3",
 "version": "3.7.6"
 "version": "3.7.10"
 }
 },
 "nbformat": 4,
Expand Down
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