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Commit 018df467 authored by CI-bot's avatar CI-bot Committed by renku 0.10.4
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renku rerun data/covidtracking/states-metadata.json data/covidtracking/states-daily.json

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1 merge request!218Automatic update - auto-update_2020-06-14_07-41
class: Workflow
cwlVersion: v1.0
hints: []
inputs:
input_1:
default: states-daily.json
streamable: false
type: string
input_2:
default: out_folder
streamable: false
type: string
input_3:
default: data/covidtracking
streamable: false
type: string
input_4:
default:
class: File
path: ../../notebooks/process/download-covidtracking-data.ipynb
streamable: false
type: File
input_5:
default: runs/download-covidtracking-data.runs.ipynb
streamable: false
type: string
input_6:
default: states-metadata.json
streamable: false
type: string
outputs:
output_1:
outputSource: step_2/output_1
streamable: false
type: Directory
output_2:
outputSource: step_2/output_0
streamable: false
type: File
requirements: []
steps:
step_1:
in:
filename: input_1
input_directory: step_2/output_1
out:
- output_file
run:
arguments: []
baseCommand:
- 'true'
class: CommandLineTool
cwlVersion: v1.0
hints: []
inputs:
filename:
default: states-daily.json
streamable: false
type: string
input_directory:
streamable: false
type: Directory
outputs:
output_file:
outputBinding:
glob: $(inputs.filename)
streamable: false
type: File
permanentFailCodes: []
requirements:
- &id001
class: InlineJavascriptRequirement
- &id002
class: InitialWorkDirRequirement
listing: $(inputs.input_directory.listing)
successCodes: []
temporaryFailCodes: []
step_2:
in:
input_1: input_2
input_2: input_3
input_3: input_4
input_4: input_5
out:
- output_0
- output_1
run: a17d560c41a54f5aa307ce5f3c5effe5_papermill.cwl
step_3:
in:
filename: input_6
input_directory: step_2/output_1
out:
- output_file
run:
arguments: []
baseCommand:
- 'true'
class: CommandLineTool
cwlVersion: v1.0
hints: []
inputs:
filename:
default: states-metadata.json
streamable: false
type: string
input_directory:
streamable: false
type: Directory
outputs:
output_file:
outputBinding:
glob: $(inputs.filename)
streamable: false
type: File
permanentFailCodes: []
requirements:
- *id001
- *id002
successCodes: []
temporaryFailCodes: []
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%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
import requests import requests
import os import os
import pandas as pd import pandas as pd
``` ```
%% Cell type:code id: tags:parameters %% Cell type:code id: tags:parameters
``` python ``` python
out_folder = "../data/covidtracking/" out_folder = "../data/covidtracking/"
PAPERMILL_OUTPUT_PATH = None PAPERMILL_OUTPUT_PATH = None
``` ```
%% Cell type:code id: tags:injected-parameters %% Cell type:code id: tags:injected-parameters
``` python ``` python
# Parameters # Parameters
PAPERMILL_INPUT_PATH = "/tmp/hp7yy9gl/notebooks/process/download-covidtracking-data.ipynb" PAPERMILL_INPUT_PATH = "/tmp/cvuzf22v/notebooks/process/download-covidtracking-data.ipynb"
PAPERMILL_OUTPUT_PATH = "runs/download-covidtracking-data.runs.ipynb" PAPERMILL_OUTPUT_PATH = "runs/download-covidtracking-data.runs.ipynb"
out_folder = "data/covidtracking" out_folder = "data/covidtracking"
``` ```
%% Cell type:markdown id: tags: %% Cell type:markdown id: tags:
# Download state metadata # Download state metadata
Download a dataset of URLs for data for each US state and several territories. See [Google Doc](https://docs.google.com/spreadsheets/d/18oVRrHj3c183mHmq3m89_163yuYltLNlOmPerQ18E8w/htmlview?sle=true). Download a dataset of URLs for data for each US state and several territories. See [Google Doc](https://docs.google.com/spreadsheets/d/18oVRrHj3c183mHmq3m89_163yuYltLNlOmPerQ18E8w/htmlview?sle=true).
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
url = 'http://covidtracking.com/api/states/info' url = 'http://covidtracking.com/api/states/info'
r = requests.get(url, allow_redirects=True) r = requests.get(url, allow_redirects=True)
states_metadata_json = r.content states_metadata_json = r.content
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
# save the result # save the result
if PAPERMILL_OUTPUT_PATH: if PAPERMILL_OUTPUT_PATH:
out_path = os.path.join(out_folder, 'states-metadata.json') out_path = os.path.join(out_folder, 'states-metadata.json')
with open(out_path, 'wb') as f: with open(out_path, 'wb') as f:
f.write(states_metadata_json) f.write(states_metadata_json)
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
metadata_df = pd.read_json(states_metadata_json) metadata_df = pd.read_json(states_metadata_json)
print(len(metadata_df), "states and territories have metadata") print(len(metadata_df), "states and territories have metadata")
metadata_df.head(2) metadata_df.head(2)
``` ```
%% Output %% Output
56 states and territories have metadata 56 states and territories have metadata
state notes \ state notes \
0 AK Total tests are taken from the annotations on ... 0 AK Total tests are taken from the annotations on ...
1 AL Negatives = (Totals - Positives) \nPositives o... 1 AL Negatives = (Totals - Positives) \nPositives o...
covid19Site \ covid19Site \
0 http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-... 0 http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-...
1 https://alpublichealth.maps.arcgis.com/apps/op... 1 https://alpublichealth.maps.arcgis.com/apps/op...
covid19SiteSecondary covid19SiteTertiary \ covid19SiteSecondary covid19SiteTertiary \
0 http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-... 0 http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-...
1 https://dph1.adph.state.al.us/covid-19/ 1 https://dph1.adph.state.al.us/covid-19/
twitter covid19SiteOld \ twitter covid19SiteOld \
0 @Alaska_DHSS http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-... 0 @Alaska_DHSS http://dhss.alaska.gov/dph/Epi/id/Pages/COVID-...
1 @alpublichealth http://www.alabamapublichealth.gov/infectiousd... 1 @alpublichealth http://www.alabamapublichealth.gov/infectiousd...
name fips pui pum name fips pui pum
0 Alaska 2 False 0 Alaska 2 False
1 Alabama 1 False 1 Alabama 1 False
%% Cell type:markdown id: tags: %% Cell type:markdown id: tags:
# Download daily state data # Download daily state data
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
url = 'https://covidtracking.com/api/states/daily' url = 'https://covidtracking.com/api/states/daily'
r = requests.get(url, allow_redirects=True) r = requests.get(url, allow_redirects=True)
states_daily_json = r.content states_daily_json = r.content
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
# save the result # save the result
if PAPERMILL_OUTPUT_PATH: if PAPERMILL_OUTPUT_PATH:
out_path = os.path.join(out_folder, 'states-daily.json') out_path = os.path.join(out_folder, 'states-daily.json')
with open(out_path, 'wb') as f: with open(out_path, 'wb') as f:
f.write(states_daily_json) f.write(states_daily_json)
``` ```
%% Cell type:code id: tags: %% Cell type:code id: tags:
``` python ``` python
data_df = pd.read_json(states_daily_json) data_df = pd.read_json(states_daily_json)
print(len(data_df), "data points") print(len(data_df), "data points")
data_df.head(2) data_df.head(2)
``` ```
%% Output %% Output
5561 data points 5617 data points
date state positive negative pending hospitalizedCurrently \ date state positive negative pending hospitalizedCurrently \
0 20200612 AK 625.0 70255.0 NaN 15.0 0 20200613 AK 654.0 71149.0 NaN 12.0
1 20200612 AL 23710.0 262675.0 NaN 622.0 1 20200613 AL 24601.0 268651.0 NaN 622.0
hospitalizedCumulative inIcuCurrently inIcuCumulative \ hospitalizedCumulative inIcuCurrently inIcuCumulative \
0 NaN NaN NaN 0 NaN NaN NaN
1 2202.0 NaN 658.0 1 2241.0 NaN 672.0
onVentilatorCurrently ... posNeg deathIncrease hospitalizedIncrease \ onVentilatorCurrently ... posNeg deathIncrease hospitalizedIncrease \
0 3.0 ... 70880 1 0 0 2.0 ... 71803 0 0
1 NaN ... 286385 14 37 1 NaN ... 293252 4 39
hash commercialScore \ hash commercialScore \
0 5f1a4d5e430995ef9030e190ec73783f54ae0d34 0 0 fd7214547e7a6c8b8153a5a26cb57fa373d2653e 0
1 dcbcb0ffeb87d85d6579b48479e7c00de3059a96 0 1 fbbaf3e55677cc7d1eed550a654b675e362268f7 0
negativeRegularScore negativeScore positiveScore score grade negativeRegularScore negativeScore positiveScore score grade
0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 1 0 0 0 0
[2 rows x 39 columns] [2 rows x 39 columns]
......
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