Export 101 rows to a notebook

Back to the rows

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 pandas
If 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?sql=select+rowid%2C+date%2C+id%2C+county%2C+fips%2C+population%2C+partially_vaccinated%2C+at_least_one_dose%2C+fully_vaccinated%2C+partially_vaccinated_percent%2C+at_least_one_dose_percent%2C+fully_vaccinated_percent+from+%5Bcdph-vaccination-zipcode-totals%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+date%2C+id%2C+county%2C+fips%2C+population%2C+partially_vaccinated%2C+at_least_one_dose%2C+fully_vaccinated%2C+partially_vaccinated_percent%2C+at_least_one_dose_percent%2C+fully_vaccinated_percent+from+%5Bcdph-vaccination-zipcode-totals%5D+order+by+rowid+limit+101&_shape=array"
)