class_docstr: Class which stores vertex and edge properties that can be used to construct
  Graphs from individual property selections and used later to annotate graph
  algorithm results with corresponding properties.
class_docstr_tok: ["Class","which","stores","vertex","and","edge","properties","that","can","be","used","to","construct","Graphs","from","individual","property","selections","and","used","later","to","annotate","graph","algorithm","results","with","corresponding","properties","."]
code: def _create_vector_properties_partition(df, vector_properties):
      # Make each vector contigous and 1-d
      new_cols = {}
      for key, columns in vector_properties.items():
          values = df[columns].values
          new_cols[key] = create_list_series_from_2d_ar(
              values, index=df.index
          )
      return df.assign(**new_cols)
  
imports: import cudf
  import cupy
  import cugraph
  import dask_cudf
  import cugraph.dask
  from cugraph.utilities.utils import import_optional, create_list_series_from_2d_ar
  from typing import Union
label_desc: Use image node_id 46 for calling the EXPERIMENTAL__MGPropertyGraph obj's underlying member method code with example usage: obj._create_vector_properties_partition(df, vector_properties) and returns: df