Pulling a Qri versioned dataset from the distributed web into a pandas dataframe (python)

gistfile1.txt

# an example of pulling in a CSV string from a local qri repo,
# and parsing it into a dataframe with pandas.read_csv()

import pandas as pd
import subprocess
from io import StringIO

# this Qri class should eventually have all the methods we would need for reading,
# writing, pushing, pulling, committing, etc.
class Qri:
    def dataframe(self, ref):
      # execute the qri get command in a subprocess
      # decode the bytes into str using .decode()
      # use StringIO to
      command="qri get body " + ref
      csv = StringIO(subprocess.check_output(command, shell=True).decode("utf-8"))

      return pd.read_csv(csv)

qri = Qri()

# use qri.dataframe to bring in a dataframe for the specified dataset reference
qdf = qri.dataframe("chriswhong-demo/nyc_bids")

print(qdf)