From ab432cad1c5555f0a44bee68f38010d91ff5a676 Mon Sep 17 00:00:00 2001
From: Aaron Spring <aaron.spring@mpimet.mpg.de>
Date: Thu, 10 Jun 2021 10:42:31 +0000
Subject: [PATCH] Auto-saving for aaron.spring on branch master from commit
fb0ceb3
---
.cookie_iridl | 1 +
.daprc | 1 +
notebooks/data_access/IRIDL.ipynb | 31 ++++++-------------------------
3 files changed, 8 insertions(+), 25 deletions(-)
create mode 100644 .cookie_iridl
create mode 100644 .daprc
diff --git a/.cookie_iridl b/.cookie_iridl
new file mode 100644
index 0000000..b500868
--- /dev/null
+++ b/.cookie_iridl
@@ -0,0 +1 @@
+Set-Cookie: __dlauth_id=6d3f0d342e1bdd448b287481f6d7989673305eeba2fa65fabb2709e2d76101b21ae816ffe0560b1a25ed3c8d0bf8884eab7d4bc2; domain=.iridl.ldeo.columbia.edu
diff --git a/.daprc b/.daprc
new file mode 100644
index 0000000..6670136
--- /dev/null
+++ b/.daprc
@@ -0,0 +1 @@
+HTTP.COOKIEJAR=/work/s2s-ai-challenge-template/.cookie_iridl
diff --git a/notebooks/data_access/IRIDL.ipynb b/notebooks/data_access/IRIDL.ipynb
index f1e11df..c839cc6 100644
--- a/notebooks/data_access/IRIDL.ipynb
+++ b/notebooks/data_access/IRIDL.ipynb
@@ -100,31 +100,13 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 7,
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/opt/conda/lib/python3.8/site-packages/xarray/backends/cfgrib_.py:27: UserWarning: Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. Try `import cfgrib` to get the full error message\n",
- " warnings.warn(\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "<xarray.core.options.set_options at 0x7efe3cb51fd0>"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"import xarray as xr\n",
- "xr.set_options(display_style='text')"
+ "xr.set_options(display_style='text')\n",
+ "import pandas as pd"
]
},
{
@@ -741,14 +723,13 @@
}
],
"source": [
- "import pandas as pd\n",
"ds = xr.open_dataset(fname).rename({'X':'longitude', 'Y':'latitude', 'S':'forecast_time', 'M':'realization', 'aprod':'tp'}).assign_coords(lead_time=pd.Timedelta('14 d'))\n",
"ds"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -809,7 +790,7 @@
" history: Averaged over L[14.5 days..."
]
},
- "execution_count": 15,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
--
GitLab