Export 1 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 1 row into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/la-times.json?p0=2020-03-12&p1=California+City+Correctional+Facility&sql=select+rowid%2C+date%2C+code%2C+name%2C+city%2C+county%2C+fips%2C+zipcode%2C+x%2C+y%2C+confirmed_cases%2C+new_confirmed_cases%2C+deaths%2C+new_deaths+from+%5Bcdcr-prison-totals%5D+where+date(%22date%22)+%3D+%3Ap0+and+%22name%22+%3D+%3Ap1+order+by+date+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=2020-03-12&p1=California+City+Correctional+Facility&sql=select+rowid%2C+date%2C+code%2C+name%2C+city%2C+county%2C+fips%2C+zipcode%2C+x%2C+y%2C+confirmed_cases%2C+new_confirmed_cases%2C+deaths%2C+new_deaths+from+%5Bcdcr-prison-totals%5D+where+date(%22date%22)+%3D+%3Ap0+and+%22name%22+%3D+%3Ap1+order+by+date+desc+limit+101&_shape=array" )