code: def csv2df(csv, dtstart="1991-11-01", ff="D"):
      data = [[float(v) for v in r.split(",")] for r in csv.split("\n")]
      index = pd.date_range(dtstart, freq=ff, periods=len(data))
      return pd.DataFrame(data, index=index)
  
file_path: tslumen/tests/unit/profile/base.py
imports: from datetime import datetime
  from dataclasses import is_dataclass
  import numpy
  import pandas
  from tslumen.profile.base import ProfileResult, ProfilingFunction
label_desc: Use image node_id 1 for calling a global function with example usage: csv2df(csv, dtstart, ff) and returns: pd