Export 101 rows to a notebook
You can export this data to a Jupyter or Observable notebook by copying and pasting the following:
Jupyter
Make sure you have Pandas. Import it in a cell like this:
import pandasIf this shows an error you can run
%pip install pandas
in a notebook cell to install it.
Now paste the following into a cell to load the 101 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/la-times.json?p0=2021-01-08&sql=select+rowid%2C+hospital%2C+ccn%2C+week%2C+county%2C+fips%2C+region%2C+covid_icu_patients_total%2C+available_adult_icu_beds_total%2C+occupied_adult_icu_beds_total%2C+staffed_adult_icu_beds_total%2C+occupied_adult_icu_beds_percent%2C+icu_patients_with_covid_percent+from+%5Bhhs-hospital-icu-totals%5D+where+date(%22week%22)+%3D+%3Ap0+order+by+rowid+desc+limit+101&_shape=array" )
Run df
in a new cell to see the table.
Observable
Import the data into a variable called rows
like this:
rows = d3.json( "https://covid-19.datasettes.com/la-times.json?p0=2021-01-08&sql=select+rowid%2C+hospital%2C+ccn%2C+week%2C+county%2C+fips%2C+region%2C+covid_icu_patients_total%2C+available_adult_icu_beds_total%2C+occupied_adult_icu_beds_total%2C+staffed_adult_icu_beds_total%2C+occupied_adult_icu_beds_percent%2C+icu_patients_with_covid_percent+from+%5Bhhs-hospital-icu-totals%5D+where+date(%22week%22)+%3D+%3Ap0+order+by+rowid+desc+limit+101&_shape=array" )