Export 100 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 100 rows into a DataFrame called df:

df = pandas.read_json(
    "https://covid-19.datasettes.com/covid/latimes_place_totals.json?date__date=2020-11-19&fips=37&_shape=array"
)

Run df in a new cell to see the table.

You can export all 353 rows using a single streaming CSV export like this:

df = pandas.read_csv(
    "https://covid-19.datasettes.com/covid/latimes_place_totals.csv?date__date=2020-11-19&fips=37&_stream=on", dtype={
    "rowid": int,
    "fips": int,
    "confirmed_cases": int,
})

Observable

Import the data into a variable called rows like this:

rows = d3.json(
  "https://covid-19.datasettes.com/covid/latimes_place_totals.json?date__date=2020-11-19&fips=37&_shape=array"
)

You can export all 353 rows using a single streaming CSV export like this:

rows = d3.csv(
  "https://covid-19.datasettes.com/covid/latimes_place_totals.csv?date__date=2020-11-19&fips=37&_stream=on",
  d3.autoType
)