code: def read_csv_pandas(filepath, usecols=None):
      # Pandas writes CSV files out as a single file
      if os.path.isfile(filepath):
          return pd.read_csv(filepath, usecols=usecols)
      # Dask may have written out CSV files in partitions
      filepath_expr = filepath.replace(".csv", "*.csv")
      filepaths = glob.glob(filepath_expr)
      return pd.concat(
          (pd.read_csv(f, usecols=usecols) for f in filepaths)
      )
  
imports: from __future__ import annotations
  import time
  import os, os.path, sys, glob, argparse, resource, multiprocessing
  import pandas
  import dask.dataframe
  import numpy
  import datashader
  import feather
  import fastparquet
  from datashader.utils import export_image
  from datashader import transfer_functions
  from dask import distributed
label_desc: Use image node_id 4 for calling a global function with example usage: read_csv_pandas(filepath, usecols) and returns: pd, pd