Export 15 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 15 rows into a DataFrame called df
:
df = pandas.read_json( "https://covid-19.datasettes.com/la-times.json?sql=select+rowid%2C+county%2C+fips%2C+status%2C+restriction+from+%5Blatimes-beach-closures-county-list%5D+order+by+rowid+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?sql=select+rowid%2C+county%2C+fips%2C+status%2C+restriction+from+%5Blatimes-beach-closures-county-list%5D+order+by+rowid+limit+101&_shape=array" )