From be0cb6dc73bbbde45d4aab4e59d2d01e09801f11 Mon Sep 17 00:00:00 2001
From: Chandrasekhar Ramakrishnan <cramakri@ethz.ch>
Date: Thu, 9 Apr 2020 04:43:13 +0000
Subject: [PATCH] renku run papermill -p ts_folder ./data/covid-19_jhu-csse/ -p
worldmap_path ./data/atlas/worldmap/country_centroids.csv -p out_folder
./data/geodata/ --inject-paths notebooks/process/CompileGeoData.ipynb
runs/CompileGeoData.run.ipynb
---
...aa66107b435e8abc83727b9e496b_papermill.cwl | 115 ++++++
data/geodata/geo_data.csv | 4 +-
runs/CompileGeoData.run.ipynb | 390 +++++++++++++-----
3 files changed, 402 insertions(+), 107 deletions(-)
create mode 100644 .renku/workflow/296eaa66107b435e8abc83727b9e496b_papermill.cwl
diff --git a/.renku/workflow/296eaa66107b435e8abc83727b9e496b_papermill.cwl b/.renku/workflow/296eaa66107b435e8abc83727b9e496b_papermill.cwl
new file mode 100644
index 000000000..6d557f3f4
--- /dev/null
+++ b/.renku/workflow/296eaa66107b435e8abc83727b9e496b_papermill.cwl
@@ -0,0 +1,115 @@
+arguments: []
+baseCommand:
+- papermill
+class: CommandLineTool
+cwlVersion: v1.0
+hints: []
+inputs:
+ input_1:
+ default: ts_folder
+ inputBinding:
+ position: 1
+ prefix: -p
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: string
+ input_2:
+ default:
+ class: Directory
+ listing: []
+ path: ../../data/covid-19_jhu-csse
+ inputBinding:
+ position: 2
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: Directory
+ input_3:
+ default: worldmap_path
+ inputBinding:
+ position: 3
+ prefix: -p
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: string
+ input_4:
+ default:
+ class: File
+ path: ../../data/atlas/worldmap/country_centroids.csv
+ inputBinding:
+ position: 4
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: File
+ input_5:
+ default: out_folder
+ inputBinding:
+ position: 5
+ prefix: -p
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: string
+ input_6:
+ default: data/geodata
+ inputBinding:
+ position: 6
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: string
+ input_7:
+ default:
+ class: File
+ path: ../../notebooks/process/CompileGeoData.ipynb
+ inputBinding:
+ position: 7
+ prefix: --inject-paths
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: File
+ input_8:
+ default: runs/CompileGeoData.run.ipynb
+ inputBinding:
+ position: 8
+ separate: true
+ shellQuote: true
+ streamable: false
+ type: string
+outputs:
+ output_0:
+ outputBinding:
+ glob: $(inputs.input_8)
+ streamable: false
+ type: File
+ output_1:
+ outputBinding:
+ glob: $(inputs.input_6)
+ streamable: false
+ type: Directory
+permanentFailCodes: []
+requirements:
+- class: InlineJavascriptRequirement
+- class: InitialWorkDirRequirement
+ listing:
+ - entry: '$({"listing": [], "class": "Directory"})'
+ entryname: runs
+ writable: true
+ - entry: '$({"listing": [], "class": "Directory"})'
+ entryname: data/geodata
+ writable: true
+ - entry: $(inputs.input_2)
+ entryname: data/covid-19_jhu-csse
+ writable: false
+ - entry: $(inputs.input_4)
+ entryname: data/atlas/worldmap/country_centroids.csv
+ writable: false
+ - entry: $(inputs.input_7)
+ entryname: notebooks/process/CompileGeoData.ipynb
+ writable: false
+successCodes: []
+temporaryFailCodes: []
diff --git a/data/geodata/geo_data.csv b/data/geodata/geo_data.csv
index 37d63a788..b5eafe26d 100644
--- a/data/geodata/geo_data.csv
+++ b/data/geodata/geo_data.csv
@@ -1,3 +1,3 @@
version https://git-lfs.github.com/spec/v1
-oid sha256:10381a7c8b37736eb65cf9c510c8a3fb3cdbd11b3c3c7a53f5a1d5a9e8e5074a
-size 34026
+oid sha256:2cec6d17f546b453688f37dc481df2104f5224eb09831bb29ce1cfc349519cc6
+size 34997
diff --git a/runs/CompileGeoData.run.ipynb b/runs/CompileGeoData.run.ipynb
index 42ced54c8..cf5a62911 100644
--- a/runs/CompileGeoData.run.ipynb
+++ b/runs/CompileGeoData.run.ipynb
@@ -4,10 +4,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.022323,
- "end_time": "2020-03-26T13:22:44.646598",
+ "duration": 0.018874,
+ "end_time": "2020-04-09T04:43:11.776832",
"exception": false,
- "start_time": "2020-03-26T13:22:44.624275",
+ "start_time": "2020-04-09T04:43:11.757958",
"status": "completed"
},
"tags": []
@@ -23,10 +23,10 @@
"execution_count": 1,
"metadata": {
"papermill": {
- "duration": 0.337871,
- "end_time": "2020-03-26T13:22:44.995055",
+ "duration": 0.41067,
+ "end_time": "2020-04-09T04:43:12.197808",
"exception": false,
- "start_time": "2020-03-26T13:22:44.657184",
+ "start_time": "2020-04-09T04:43:11.787138",
"status": "completed"
},
"tags": []
@@ -42,10 +42,10 @@
"execution_count": 2,
"metadata": {
"papermill": {
- "duration": 0.024696,
- "end_time": "2020-03-26T13:22:45.036188",
+ "duration": 0.021561,
+ "end_time": "2020-04-09T04:43:12.233066",
"exception": false,
- "start_time": "2020-03-26T13:22:45.011492",
+ "start_time": "2020-04-09T04:43:12.211505",
"status": "completed"
},
"tags": []
@@ -53,7 +53,7 @@
"outputs": [],
"source": [
"ts_folder = \"../../data/covid-19_jhu-csse/\"\n",
- "worldmap_path = \"../../data/worldmap/country_centroids.csv\"\n",
+ "worldmap_path = \"../../data/atlas/worldmap/country_centroids.csv\"\n",
"out_folder = None\n",
"PAPERMILL_OUTPUT_PATH = None"
]
@@ -62,10 +62,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.008821,
- "end_time": "2020-03-26T13:22:45.057062",
+ "duration": 0.009177,
+ "end_time": "2020-04-09T04:43:12.254264",
"exception": false,
- "start_time": "2020-03-26T13:22:45.048241",
+ "start_time": "2020-04-09T04:43:12.245087",
"status": "completed"
},
"tags": [
@@ -81,10 +81,10 @@
"execution_count": 3,
"metadata": {
"papermill": {
- "duration": 0.024941,
- "end_time": "2020-03-26T13:22:45.090116",
+ "duration": 0.02583,
+ "end_time": "2020-04-09T04:43:12.289381",
"exception": false,
- "start_time": "2020-03-26T13:22:45.065175",
+ "start_time": "2020-04-09T04:43:12.263551",
"status": "completed"
},
"tags": [
@@ -94,11 +94,11 @@
"outputs": [],
"source": [
"# Parameters\n",
- "PAPERMILL_INPUT_PATH = \"/tmp/g3lga9o8/notebooks/process/CompileGeoData.ipynb\"\n",
+ "PAPERMILL_INPUT_PATH = \"notebooks/process/CompileGeoData.ipynb\"\n",
"PAPERMILL_OUTPUT_PATH = \"runs/CompileGeoData.run.ipynb\"\n",
- "ts_folder = \"/tmp/g3lga9o8/data/covid-19_jhu-csse\"\n",
- "worldmap_path = \"/tmp/g3lga9o8/data/worldmap/country_centroids.csv\"\n",
- "out_folder = \"/tmp/g3lga9o8/data/geodata\"\n"
+ "ts_folder = \"./data/covid-19_jhu-csse/\"\n",
+ "worldmap_path = \"./data/atlas/worldmap/country_centroids.csv\"\n",
+ "out_folder = \"./data/geodata/\"\n"
]
},
{
@@ -106,10 +106,10 @@
"execution_count": 4,
"metadata": {
"papermill": {
- "duration": 0.025233,
- "end_time": "2020-03-26T13:22:45.135369",
+ "duration": 0.032837,
+ "end_time": "2020-04-09T04:43:12.334854",
"exception": false,
- "start_time": "2020-03-26T13:22:45.110136",
+ "start_time": "2020-04-09T04:43:12.302017",
"status": "completed"
},
"tags": []
@@ -130,10 +130,10 @@
"execution_count": 5,
"metadata": {
"papermill": {
- "duration": 0.054123,
- "end_time": "2020-03-26T13:22:45.202307",
+ "duration": 0.070968,
+ "end_time": "2020-04-09T04:43:12.426434",
"exception": false,
- "start_time": "2020-03-26T13:22:45.148184",
+ "start_time": "2020-04-09T04:43:12.355466",
"status": "completed"
},
"tags": []
@@ -147,10 +147,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.007699,
- "end_time": "2020-03-26T13:22:45.217884",
+ "duration": 0.008782,
+ "end_time": "2020-04-09T04:43:12.443641",
"exception": false,
- "start_time": "2020-03-26T13:22:45.210185",
+ "start_time": "2020-04-09T04:43:12.434859",
"status": "completed"
},
"tags": []
@@ -164,10 +164,10 @@
"execution_count": 6,
"metadata": {
"papermill": {
- "duration": 0.031588,
- "end_time": "2020-03-26T13:22:45.257211",
+ "duration": 0.050305,
+ "end_time": "2020-04-09T04:43:12.506795",
"exception": false,
- "start_time": "2020-03-26T13:22:45.225623",
+ "start_time": "2020-04-09T04:43:12.456490",
"status": "completed"
},
"tags": []
@@ -175,7 +175,7 @@
"outputs": [],
"source": [
"country_centroids_df = pd.read_csv(worldmap_path)\n",
- "country_centroids_df = country_centroids_df[['name', 'name_long', 'region_un', 'subregion', 'region_wb', 'pop_est', 'gdp_md_est', 'income_grp', 'Longitude', 'Latitude']]\n",
+ "country_centroids_df = country_centroids_df[['name', 'name_long', 'sov_a3', 'region_un', 'subregion', 'region_wb', 'pop_est', 'gdp_md_est', 'income_grp', 'Longitude', 'Latitude']]\n",
"country_centroids_df['name_jhu'] = country_centroids_df['name_long'] "
]
},
@@ -184,10 +184,10 @@
"execution_count": 7,
"metadata": {
"papermill": {
- "duration": 0.037705,
- "end_time": "2020-03-26T13:22:45.303604",
+ "duration": 0.062057,
+ "end_time": "2020-04-09T04:43:12.587879",
"exception": false,
- "start_time": "2020-03-26T13:22:45.265899",
+ "start_time": "2020-04-09T04:43:12.525822",
"status": "completed"
},
"tags": []
@@ -195,10 +195,140 @@
"outputs": [
{
"data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>name</th>\n",
+ " <th>name_long</th>\n",
+ " <th>sov_a3</th>\n",
+ " <th>region_un</th>\n",
+ " <th>subregion</th>\n",
+ " <th>region_wb</th>\n",
+ " <th>pop_est</th>\n",
+ " <th>gdp_md_est</th>\n",
+ " <th>income_grp</th>\n",
+ " <th>Longitude</th>\n",
+ " <th>Latitude</th>\n",
+ " <th>name_jhu</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Aruba</td>\n",
+ " <td>Aruba</td>\n",
+ " <td>NL1</td>\n",
+ " <td>Americas</td>\n",
+ " <td>Caribbean</td>\n",
+ " <td>Latin America & Caribbean</td>\n",
+ " <td>103065</td>\n",
+ " <td>2258.0</td>\n",
+ " <td>2. High income: nonOECD</td>\n",
+ " <td>-69.982677</td>\n",
+ " <td>12.520880</td>\n",
+ " <td>Aruba</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>Afghanistan</td>\n",
+ " <td>Afghanistan</td>\n",
+ " <td>AFG</td>\n",
+ " <td>Asia</td>\n",
+ " <td>Southern Asia</td>\n",
+ " <td>South Asia</td>\n",
+ " <td>28400000</td>\n",
+ " <td>22270.0</td>\n",
+ " <td>5. Low income</td>\n",
+ " <td>66.004734</td>\n",
+ " <td>33.835231</td>\n",
+ " <td>Afghanistan</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Angola</td>\n",
+ " <td>Angola</td>\n",
+ " <td>AGO</td>\n",
+ " <td>Africa</td>\n",
+ " <td>Middle Africa</td>\n",
+ " <td>Sub-Saharan Africa</td>\n",
+ " <td>12799293</td>\n",
+ " <td>110300.0</td>\n",
+ " <td>3. Upper middle income</td>\n",
+ " <td>17.537368</td>\n",
+ " <td>-12.293361</td>\n",
+ " <td>Angola</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Anguilla</td>\n",
+ " <td>Anguilla</td>\n",
+ " <td>GB1</td>\n",
+ " <td>Americas</td>\n",
+ " <td>Caribbean</td>\n",
+ " <td>Latin America & Caribbean</td>\n",
+ " <td>14436</td>\n",
+ " <td>108.9</td>\n",
+ " <td>3. Upper middle income</td>\n",
+ " <td>-63.064989</td>\n",
+ " <td>18.223959</td>\n",
+ " <td>Anguilla</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>Albania</td>\n",
+ " <td>Albania</td>\n",
+ " <td>ALB</td>\n",
+ " <td>Europe</td>\n",
+ " <td>Southern Europe</td>\n",
+ " <td>Europe & Central Asia</td>\n",
+ " <td>3639453</td>\n",
+ " <td>21810.0</td>\n",
+ " <td>4. Lower middle income</td>\n",
+ " <td>20.049834</td>\n",
+ " <td>41.142450</td>\n",
+ " <td>Albania</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
"text/plain": [
- "Index(['name', 'name_long', 'region_un', 'subregion', 'region_wb', 'pop_est',\n",
- " 'gdp_md_est', 'income_grp', 'Longitude', 'Latitude', 'name_jhu'],\n",
- " dtype='object')"
+ " name name_long sov_a3 region_un subregion \\\n",
+ "0 Aruba Aruba NL1 Americas Caribbean \n",
+ "1 Afghanistan Afghanistan AFG Asia Southern Asia \n",
+ "2 Angola Angola AGO Africa Middle Africa \n",
+ "3 Anguilla Anguilla GB1 Americas Caribbean \n",
+ "4 Albania Albania ALB Europe Southern Europe \n",
+ "\n",
+ " region_wb pop_est gdp_md_est income_grp \\\n",
+ "0 Latin America & Caribbean 103065 2258.0 2. High income: nonOECD \n",
+ "1 South Asia 28400000 22270.0 5. Low income \n",
+ "2 Sub-Saharan Africa 12799293 110300.0 3. Upper middle income \n",
+ "3 Latin America & Caribbean 14436 108.9 3. Upper middle income \n",
+ "4 Europe & Central Asia 3639453 21810.0 4. Lower middle income \n",
+ "\n",
+ " Longitude Latitude name_jhu \n",
+ "0 -69.982677 12.520880 Aruba \n",
+ "1 66.004734 33.835231 Afghanistan \n",
+ "2 17.537368 -12.293361 Angola \n",
+ "3 -63.064989 18.223959 Anguilla \n",
+ "4 20.049834 41.142450 Albania "
]
},
"execution_count": 7,
@@ -206,6 +336,38 @@
"output_type": "execute_result"
}
],
+ "source": [
+ "country_centroids_df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "papermill": {
+ "duration": 0.030014,
+ "end_time": "2020-04-09T04:43:12.637571",
+ "exception": false,
+ "start_time": "2020-04-09T04:43:12.607557",
+ "status": "completed"
+ },
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Index(['name', 'name_long', 'sov_a3', 'region_un', 'subregion', 'region_wb',\n",
+ " 'pop_est', 'gdp_md_est', 'income_grp', 'Longitude', 'Latitude',\n",
+ " 'name_jhu'],\n",
+ " dtype='object')"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"country_centroids_df.columns"
]
@@ -214,10 +376,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.009762,
- "end_time": "2020-03-26T13:22:45.332521",
+ "duration": 0.009729,
+ "end_time": "2020-04-09T04:43:12.661687",
"exception": false,
- "start_time": "2020-03-26T13:22:45.322759",
+ "start_time": "2020-04-09T04:43:12.651958",
"status": "completed"
},
"tags": []
@@ -228,13 +390,13 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {
"papermill": {
- "duration": 0.030831,
- "end_time": "2020-03-26T13:22:45.371494",
+ "duration": 0.032216,
+ "end_time": "2020-04-09T04:43:12.702670",
"exception": false,
- "start_time": "2020-03-26T13:22:45.340663",
+ "start_time": "2020-04-09T04:43:12.670454",
"status": "completed"
},
"tags": []
@@ -257,13 +419,13 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {
"papermill": {
- "duration": 0.026196,
- "end_time": "2020-03-26T13:22:45.411424",
+ "duration": 0.022579,
+ "end_time": "2020-04-09T04:43:12.740950",
"exception": false,
- "start_time": "2020-03-26T13:22:45.385228",
+ "start_time": "2020-04-09T04:43:12.718371",
"status": "completed"
},
"tags": []
@@ -278,10 +440,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.009748,
- "end_time": "2020-03-26T13:22:45.435849",
+ "duration": 0.00939,
+ "end_time": "2020-04-09T04:43:12.761503",
"exception": false,
- "start_time": "2020-03-26T13:22:45.426101",
+ "start_time": "2020-04-09T04:43:12.752113",
"status": "completed"
},
"tags": []
@@ -292,13 +454,13 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {
"papermill": {
- "duration": 0.04638,
- "end_time": "2020-03-26T13:22:45.491053",
+ "duration": 0.037251,
+ "end_time": "2020-04-09T04:43:12.807860",
"exception": false,
- "start_time": "2020-03-26T13:22:45.444673",
+ "start_time": "2020-04-09T04:43:12.770609",
"status": "completed"
},
"tags": []
@@ -325,8 +487,8 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
- " <th>2020-03-24</th>\n",
- " <th>2020-03-25</th>\n",
+ " <th>2020-04-06</th>\n",
+ " <th>2020-04-07</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Country/Region</th>\n",
@@ -336,19 +498,24 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
+ " <th>Burma</th>\n",
+ " <td>22</td>\n",
+ " <td>22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
" <th>Cabo Verde</th>\n",
- " <td>3</td>\n",
- " <td>4</td>\n",
+ " <td>7</td>\n",
+ " <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Congo (Brazzaville)</th>\n",
- " <td>4</td>\n",
- " <td>4</td>\n",
+ " <td>45</td>\n",
+ " <td>45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Congo (Kinshasa)</th>\n",
- " <td>45</td>\n",
- " <td>48</td>\n",
+ " <td>161</td>\n",
+ " <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Diamond Princess</th>\n",
@@ -357,54 +524,67 @@
" </tr>\n",
" <tr>\n",
" <th>Eswatini</th>\n",
- " <td>4</td>\n",
- " <td>4</td>\n",
+ " <td>10</td>\n",
+ " <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Gambia</th>\n",
- " <td>3</td>\n",
- " <td>3</td>\n",
+ " <td>4</td>\n",
+ " <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Holy See</th>\n",
- " <td>4</td>\n",
- " <td>4</td>\n",
+ " <td>7</td>\n",
+ " <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Laos</th>\n",
- " <td>2</td>\n",
- " <td>3</td>\n",
+ " <td>12</td>\n",
+ " <td>14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>MS Zaandam</th>\n",
+ " <td>9</td>\n",
+ " <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>North Macedonia</th>\n",
- " <td>148</td>\n",
- " <td>177</td>\n",
+ " <td>570</td>\n",
+ " <td>599</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Sao Tome and Principe</th>\n",
+ " <td>4</td>\n",
+ " <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>West Bank and Gaza</th>\n",
- " <td>59</td>\n",
- " <td>-1</td>\n",
+ " <td>254</td>\n",
+ " <td>261</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " 2020-03-24 2020-03-25\n",
- "Country/Region \n",
- "Cabo Verde 3 4\n",
- "Congo (Brazzaville) 4 4\n",
- "Congo (Kinshasa) 45 48\n",
- "Diamond Princess 712 712\n",
- "Eswatini 4 4\n",
- "Gambia 3 3\n",
- "Holy See 4 4\n",
- "Laos 2 3\n",
- "North Macedonia 148 177\n",
- "West Bank and Gaza 59 -1"
+ " 2020-04-06 2020-04-07\n",
+ "Country/Region \n",
+ "Burma 22 22\n",
+ "Cabo Verde 7 7\n",
+ "Congo (Brazzaville) 45 45\n",
+ "Congo (Kinshasa) 161 180\n",
+ "Diamond Princess 712 712\n",
+ "Eswatini 10 10\n",
+ "Gambia 4 4\n",
+ "Holy See 7 7\n",
+ "Laos 12 14\n",
+ "MS Zaandam 9 9\n",
+ "North Macedonia 570 599\n",
+ "Sao Tome and Principe 4 4\n",
+ "West Bank and Gaza 254 261"
]
},
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -419,10 +599,10 @@
"cell_type": "markdown",
"metadata": {
"papermill": {
- "duration": 0.009932,
- "end_time": "2020-03-26T13:22:45.518476",
+ "duration": 0.010321,
+ "end_time": "2020-04-09T04:43:12.835387",
"exception": false,
- "start_time": "2020-03-26T13:22:45.508544",
+ "start_time": "2020-04-09T04:43:12.825066",
"status": "completed"
},
"tags": []
@@ -433,13 +613,13 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {
"papermill": {
- "duration": 0.037962,
- "end_time": "2020-03-26T13:22:45.565000",
+ "duration": 0.039702,
+ "end_time": "2020-04-09T04:43:12.884774",
"exception": false,
- "start_time": "2020-03-26T13:22:45.527038",
+ "start_time": "2020-04-09T04:43:12.845072",
"status": "completed"
},
"tags": []
@@ -471,20 +651,20 @@
"version": "3.7.3"
},
"papermill": {
- "duration": 2.257336,
- "end_time": "2020-03-26T13:22:46.017593",
+ "duration": 2.316451,
+ "end_time": "2020-04-09T04:43:13.215707",
"environment_variables": {},
"exception": null,
- "input_path": "/tmp/g3lga9o8/notebooks/process/CompileGeoData.ipynb",
+ "input_path": "notebooks/process/CompileGeoData.ipynb",
"output_path": "runs/CompileGeoData.run.ipynb",
"parameters": {
- "PAPERMILL_INPUT_PATH": "/tmp/g3lga9o8/notebooks/process/CompileGeoData.ipynb",
+ "PAPERMILL_INPUT_PATH": "notebooks/process/CompileGeoData.ipynb",
"PAPERMILL_OUTPUT_PATH": "runs/CompileGeoData.run.ipynb",
- "out_folder": "/tmp/g3lga9o8/data/geodata",
- "ts_folder": "/tmp/g3lga9o8/data/covid-19_jhu-csse",
- "worldmap_path": "/tmp/g3lga9o8/data/worldmap/country_centroids.csv"
+ "out_folder": "./data/geodata/",
+ "ts_folder": "./data/covid-19_jhu-csse/",
+ "worldmap_path": "./data/atlas/worldmap/country_centroids.csv"
},
- "start_time": "2020-03-26T13:22:43.760257",
+ "start_time": "2020-04-09T04:43:10.899256",
"version": "1.1.0"
}
},
--
GitLab