code: def read_commandline(cmd: str, **kwargs: Any) -> pd.DataFrame:
      """Read a CSV file based on a command-line command.
  
      For example, you may wish to run the following command on `sep-quarter.csv`
      before reading it into a pandas DataFrame:
  
      ```bash
      cat sep-quarter.csv | grep .SEA1AA
      ```
  
      In this case, you can use the following Python code to load the dataframe:
  
      ```python
      import janitor as jn
      df = jn.read_commandline("cat data.csv | grep .SEA1AA")
      ```
  
      This function assumes that your command line command will return
      an output that is parsable using `pandas.read_csv` and StringIO.
      We default to using `pd.read_csv` underneath the hood.
      Keyword arguments are passed through to read_csv.
  
      Args:
          cmd: Shell command to preprocess a file on disk.
          **kwargs: Keyword arguments that are passed through to
              `pd.read_csv()`.
  
      Returns:
          A pandas DataFrame parsed from the stdout of the underlying
              shell.
      """
  
      check("cmd", cmd, [str])
      # adding check=True ensures that an explicit, clear error
      # is raised, so that the user can see the reason for the failure
      outcome = subprocess.run(
          cmd, shell=True, capture_output=True, text=True, check=True
      )
      return pd.read_csv(StringIO(outcome.stdout), **kwargs)
  
file_path: pyjanitor/janitor/io.py
imports: from __future__ import annotations
  import inspect
  import os
  import subprocess
  from collections import defaultdict
  from glob import glob
  from io import StringIO
  from itertools import chain
  from typing import TYPE_CHECKING, Any, Iterable, NamedTuple, Union
  import pandas
  from .errors import JanitorError
  from .utils import check, deprecated_alias, import_message
label_desc: Use image node_id 2 for calling a global function with example usage: read_commandline(cmd) and returns: pd