diff --git a/docs/howto/edl.ipynb b/docs/howto/edl.ipynb index d26503dc..21313b77 100644 --- a/docs/howto/edl.ipynb +++ b/docs/howto/edl.ipynb @@ -17,17 +17,7 @@ "execution_count": 1, "id": "ce723d6f-8b5f-43e1-9531-19ee08a056fe", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "You're now authenticated with NASA Earthdata Login\n", - "Using token with expiration date: 09/25/2023\n", - "Using environment variables for EDL\n" - ] - } - ], + "outputs": [], "source": [ "import earthaccess\n", "\n", @@ -40,32 +30,17 @@ "metadata": {}, "source": [ "### Data in AWS\n", - "If the data we want to access is on AWS, we can use earthaccess to generate temporary S3 credentials for any of the DAACs" + "If the data we want to access is on AWS, we can use earthaccess to generate temporary S3 credentials for any of the DAACs. " ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "3108ff21-1ea2-449b-b2f5-b442dd3b61f5", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'accessKeyId': 'ASIA2D3OGJNTE2UAIDHR',\n", - " 'secretAccessKey': '9+6D3m76HTuNi3qvbgUMBFlJECsCgPyJ4ur2CfZL',\n", - " 'sessionToken': 'FwoGZXIvYXdzEPL//////////wEaDIVnMBd6zBaEKmG58CLpAXrPN52vpRHvs+0y960kNwGOdFHPD81WVsdeUciP/vQvsU/xX4Cg+iLH/OXDlH/PBWCmSgfk4vgXD9k6r2JRmnpkwyF4v4K4+ciIuUHNG43ZegSFtkzZoLHShLtEnNu/OIT0TlcrOLJIY+TnjEDcKkXiLSsLYB7qDKZIeg654oPCkjeXyDuoWOumJa7utBEwHmakOGdGJTthOfbfJ6RJ9sbPbmsEXg0bHF5PY9h3/Eoq0rjyRmlb1WYuopw5YK8dL5N9IwSKlKiu19Cj0nd04XVNuiB02+fLDubsnKK1b3j0jR53qAU3FxobKLHgj6YGMi0kDN7xWP6yqI7Ry69Lf5EEcDRVp4UVz6llGYoDpsKr9s3cXaBljkhEjH7N5dQ=',\n", - " 'expiration': '2023-07-28 17:43:29+00:00'}" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "s3_credentials = auth.get_s3_credentials(\"NSIDC\")\n", - "s3_credentials" + "s3_credentials = auth.get_s3_credentials(\"NSIDC\")" ] }, { @@ -88,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "id": "a7bb1a93-6f85-40cd-93b4-ce821a03a8b5", "metadata": {}, "outputs": [], @@ -102,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "id": "c0f4e286-8ce9-4cde-b3a2-631b361a0d51", "metadata": {}, "outputs": [ @@ -112,7 +87,7 @@ "'�HDF\\r\\n\\x1a\\n\\x00\\x00\\x00\\x00\\x00\\x08\\x08\\x00\\x04\\x00\\x10\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00���������HUn\\x00\\x00\\x00\\x00��������\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00`\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00OHDR\\x02'" ] }, - "execution_count": 15, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -133,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, "id": "1e5f5f7a-0643-42cb-b70c-4ac982824ff9", "metadata": {}, "outputs": [], @@ -143,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "id": "fbc7bc5f-b984-4324-b095-3648a437fba2", "metadata": {}, "outputs": [ @@ -153,7 +128,7 @@ "b'\\x89HDF\\r\\n\\x1a\\n\\x00\\x00\\x00\\x00\\x00\\x08\\x08\\x00\\x04\\x00\\x10\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xd7HUn\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00`\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00OHDR'" ] }, - "execution_count": 11, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -166,19 +141,19 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "id": "07433a9f-f276-4d2b-9ed3-f556df2884af", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f68d214c1c4b4d0fb0b44d878a003a33", + "model_id": "ac15458d5f9e4b8aac40f2e5417b22c7", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "QUEUEING TASKS | : 0it [00:00, ?it/s]" + "QUEUEING TASKS | : 0%| | 0/1 [00:00, ?it/s]" ] }, "metadata": {}, @@ -187,7 +162,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "185025ed0c284481982459d85c8dbb1f", + "model_id": "100cb212635146bab6548c8bf171d970", "version_major": 2, "version_minor": 0 }, @@ -201,7 +176,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ec660bd64a284df28a03705f56eea208", + "model_id": "3754ed8d0297407cade522b651c59ead", "version_major": 2, "version_minor": 0 }, @@ -216,8 +191,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 983 ms, sys: 101 ms, total: 1.08 s\n", - "Wall time: 18.3 s\n" + "CPU times: user 2.73 s, sys: 241 ms, total: 2.97 s\n", + "Wall time: 10.9 s\n" ] }, { @@ -586,25 +561,25 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.Dataset>\n", + "" ], "text/plain": [ - "<xarray.Dataset> Size: 3kB\n", "Dimensions: (bands: 285)\n", "Dimensions without coordinates: bands\n", "Data variables:\n", - " wavelengths (bands) float32 ...\n", - " fwhm (bands) float32 ...\n", - " good_wavelengths (bands) float32 ..." + " wavelengths (bands) float32 1kB ...\n", + " fwhm (bands) float32 1kB ...\n", + " good_wavelengths (bands) float32 1kB ...