class_docstr: Min-in for the conversion from pandas to Spark. Currently, only :class:`SparkSession`
  can use this class.
code: def createDataFrame(
      self,
      data: "PandasDataFrameLike",
      schema: Union[StructType, str],
      verifySchema: bool = ...,
  ) -> "DataFrame":
      ...
  
imports: import sys
  from typing import Any, Callable, List, Optional, Union, no_type_check, overload, TYPE_CHECKING
  from warnings import warn
  from pyspark.errors.exceptions.captured import unwrap_spark_exception
  from pyspark.loose_version import LooseVersion
  from pyspark.rdd import _load_from_socket
  from pyspark.sql.pandas.serializers import ArrowCollectSerializer
  from pyspark.sql.pandas.types import _dedup_names
  from pyspark.sql.types import ArrayType, MapType, TimestampType, StructType, DataType, _create_row
  from pyspark.sql.utils import is_timestamp_ntz_preferred
  from pyspark.traceback_utils import SCCallSiteSync
  from pyspark.errors import PySparkTypeError
label_desc: Use image node_id 2 for calling the SparkConversionMixin obj's underlying member method code with example usage: obj.createDataFrame(data, schema, verifySchema) without return types