class_docstr: The class for binary operations of pandas-on-Spark objects with categorical types.
docstr: Prepare column when from_pandas.
docstr_tok: ["Prepare","column","when","from_pandas","."]
code: def prepare(self, col: pd.Series) -> pd.Series:
      """Prepare column when from_pandas."""
      return col.cat.codes
  
imports: from itertools import chain
  from typing import cast, Any, Union
  import pandas
  import numpy
  from pandas.api.types import is_list_like, CategoricalDtype
  from pyspark.pandas._typing import Dtype, IndexOpsLike, SeriesOrIndex
  from pyspark.pandas.base import IndexOpsMixin
  from pyspark.pandas.data_type_ops.base import _sanitize_list_like, DataTypeOps
  from pyspark.pandas.typedef import pandas_on_spark_type
  from pyspark.sql import functions
  from pyspark.sql.utils import pyspark_column_op
label_desc: Use image node_id 3 for calling the CategoricalOps obj's underlying member method code with example usage: obj.prepare(col) and returns: col