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Change code cells to raw (troubleshooting) #45

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32 changes: 8 additions & 24 deletions notebooks/ch4_realtimeData.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -48,10 +48,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Packages required to request and open data from AWS S3\n",
"import s3fs\n",
Expand Down Expand Up @@ -125,10 +123,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Initialize the S3 filesystem as anonymous\n",
"aws = s3fs.S3FileSystem(anon=True)"
Expand Down Expand Up @@ -193,10 +189,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Define dropdown options -- region and product from the AWS structure\n",
"region_options = [\n",
Expand Down Expand Up @@ -239,10 +233,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Retrieve the user selection from 'Region' \n",
"region = region_choice.value\n",
Expand All @@ -267,10 +259,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Retrieve the current datetime in UTC to know which bucket to query\n",
"now = datetime.datetime.now(datetime.UTC)\n",
Expand All @@ -285,10 +275,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Query the S3 bucket for the available files that meet the criteria\n",
"try:\n",
Expand All @@ -306,10 +294,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"if data_files:\n",
" # Choose the last file from S3 for the most recent data\n",
Expand Down Expand Up @@ -355,10 +341,8 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "raw",
"metadata": {},
"outputs": [],
"source": [
"# Mask data for neater visualization\n",
"data = data.where(data > 0, np.nan)\n",
Expand Down
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