class_docstr: The internal field to store the dtype as well as the Spark's StructField optionally.
  
  Parameters
  ----------
  dtype : numpy.dtype or pandas' ExtensionDtype
      The dtype for the field
  struct_field : StructField, optional
      The `StructField` for the field. If None, InternalFrame will properly set.
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docstr: Returns a new InternalField object created from the given StructField.
  
  The dtype will be inferred from the data type of the given StructField.
  
  Parameters
  ----------
  struct_field : StructField
      The StructField used to create a new InternalField object.
  use_extension_dtypes : bool
      If True, try to use the extension dtypes.
  
  Returns
  -------
  InternalField
docstr_tok: ["Returns","a","new","InternalField","object","created","from","the","given","StructField",".","The","dtype","will","be","inferred","from","the","data","type","of","the","given","StructField",".","Parameters","--","--","--","--","--","struct_field",":","StructField","The","StructField","used","to","create","a","new","InternalField","object",".","use_extension_dtypes",":","bool","If","True",",","try","to","use","the","extension","dtypes",".","Returns","--","--","--","-","InternalField"]
code: def from_struct_field(
      struct_field: StructField, *, use_extension_dtypes: bool = False
  ) -> "InternalField":
      """
      Returns a new InternalField object created from the given StructField.
  
      The dtype will be inferred from the data type of the given StructField.
  
      Parameters
      ----------
      struct_field : StructField
          The StructField used to create a new InternalField object.
      use_extension_dtypes : bool
          If True, try to use the extension dtypes.
  
      Returns
      -------
      InternalField
      """
      return InternalField(
          dtype=spark_type_to_pandas_dtype(
              struct_field.dataType,
              use_extension_dtypes=use_extension_dtypes,
          ),
          struct_field=struct_field,
      )
  
imports: import re
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, TYPE_CHECKING, cast
  import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from pyspark._globals import _NoValue, _NoValueType
  from pyspark.sql import functions, Column, DataFrame, Window
  from pyspark.sql.types import BooleanType, DataType, LongType, StructField, StructType, StringType
  from pyspark.sql.utils import is_timestamp_ntz_preferred
  from pyspark.sql.utils import is_remote, get_column_class, get_dataframe_class
  from pyspark import pandas
  from pyspark.pandas._typing import Label
  from pyspark.pandas.spark.utils import as_nullable_spark_type, force_decimal_precision_scale
  from pyspark.pandas.data_type_ops.base import DataTypeOps
  from pyspark.pandas.typedef import Dtype, as_spark_type, extension_dtypes, infer_pd_series_spark_type, spark_type_to_pandas_dtype
  from pyspark.pandas.utils import column_labels_level, default_session, is_name_like_tuple, is_testing, lazy_property, name_like_string, scol_for, spark_column_equals
label_desc: Use image node_id 2 for calling the InternalField obj's underlying member method code with example usage: obj.from_struct_field(struct_field) and returns: InternalField