code: def read_csv(file_path, **kwargs):
      """
  
      Read csv files to SparkXShards of pandas DataFrames.
  
      :param file_path: A csv file path, a list of multiple csv file paths, or a directory
      containing csv files. Local file system, HDFS, and AWS S3 are supported.
      :param kwargs: You can specify read_csv options supported by pandas.
      :return: An instance of SparkXShards.
      """
      return read_file_spark(file_path, "csv", **kwargs)
  
file_path: analytics-zoo/pyzoo/zoo/orca/data/pandas/preprocessing.py
imports: from bigdl.util.common import get_node_and_core_number
  from zoo import init_nncontext
  from zoo.orca import OrcaContext
  from zoo.orca.data import SparkXShards
  from zoo.orca.data.utils import *
label_desc: Use image node_id 1 for calling a global function with example usage: read_csv(file_path) and returns: read_file_spark