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Update Uber lyft to diplay provider by name #11

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Update Uber lyft to diplay provider by name #11

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0f3df29
make env name more specific
ncclementi Apr 25, 2023
49e242e
add provider mapping and cluster name to avoid conflicts
ncclementi Apr 25, 2023
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1 change: 1 addition & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
.ipynb_checkpoints
2 changes: 1 addition & 1 deletion environment.yml
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@@ -1,4 +1,4 @@
name: coiled
name: coiled-examples
channels:
- conda-forge
- defaults
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83 changes: 71 additions & 12 deletions uber-lyft.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -28,21 +28,37 @@
"source": [
"import coiled\n",
"\n",
"name = \"your_name\" #avoid reusing teamate clusters\n",
"\n",
"cluster = coiled.Cluster(\n",
" n_workers=30,\n",
" account=\"events\",\n",
" name=\"uber-lyft\",\n",
" name=f\"uber-lyft_pydata-seattle_{name}\",\n",
" shutdown_on_close=False,\n",
")\n",
"\n",
"client = cluster.get_client()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "30f1ed22-0346-462e-b6a9-3e3a385702ae",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"client"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "33b598a4-fe0a-43c5-8007-0e955ac193f9",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import dask\n",
Expand Down Expand Up @@ -76,7 +92,9 @@
"cell_type": "code",
"execution_count": null,
"id": "95a96932-2109-447c-9eb3-0d235de5e973",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df = df.persist()\n",
Expand All @@ -88,7 +106,9 @@
"cell_type": "code",
"execution_count": null,
"id": "0d1b4b93-3c0d-430b-9d3a-4573d52d991d",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"%time df.base_passenger_fare.sum().compute()"
Expand All @@ -110,7 +130,6 @@
"cell_type": "markdown",
"id": "48f4dbf8-86c6-4cfc-8125-a67ea2ddfbed",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
Expand All @@ -121,7 +140,9 @@
"cell_type": "code",
"execution_count": null,
"id": "f0068858-cce5-4939-85df-7251bd0923c2",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"total = df[[\"base_passenger_fare\", \"driver_pay\", \"tips\", \"trip_miles\"]].sum()\n",
Expand All @@ -133,7 +154,9 @@
"cell_type": "code",
"execution_count": null,
"id": "e3abf9cf-303d-4b79-a541-c337a8c55f35",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"total"
Expand All @@ -143,7 +166,9 @@
"cell_type": "code",
"execution_count": null,
"id": "327134c9-409c-4979-acb7-e987fe86d7aa",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"average"
Expand All @@ -153,7 +178,9 @@
"cell_type": "code",
"execution_count": null,
"id": "ae57ee02-b8c3-4d9b-a053-2d866bb6ab14",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"total, average = dask.compute(total, average)"
Expand All @@ -171,7 +198,9 @@
"cell_type": "code",
"execution_count": null,
"id": "0779b461-afe8-4f1d-8648-8b92c4f63220",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df[df.tips != 0].tips.mean().compute()"
Expand Down Expand Up @@ -237,7 +266,9 @@
"cell_type": "code",
"execution_count": null,
"id": "b71729eb-f841-433a-b020-0f2b1c425355",
"metadata": {},
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df.hvfhs_license_num.value_counts().compute()"
Expand All @@ -254,7 +285,35 @@
"source": [
"df[\"tipped\"] = df.tips != 0\n",
"\n",
"df.groupby(\"hvfhs_license_num\").tipped.mean().compute()"
"tip_by_provider = df.groupby(\"hvfhs_license_num\").tipped.mean().compute()\n",
"tip_by_provider"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "07cafdb6-dea7-4748-b1cd-0072bb306bbf",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"tip_by_provider"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3877c42-17db-44ed-a674-0699ccecf886",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"provider = {\"HV0002\": \"Juno\", \"HV0005\": \"Lyft\", \"HV0003\": \"Uber\", \"HV0004\": \"Via\"}\n",
"tip_by_provider = tip_by_provider.to_frame().set_index(tip_by_provider.index.map(provider))\n",
"\n",
"tip_by_provider"
]
},
{
Expand Down