class_docstr: Describes a set of data that a source node in the dataflow plan contains.
class_docstr_tok: ["Describes","a","set","of","data","that","a","source","node","in","the","dataflow","plan","contains","."]
docstr: Returns a special reference that means 'the aggregation time dimension for all measures in the data set'.
  
  Or to put in another way, if metrics for those measures were plotted together on a graph, this is the name of
  the time dimension for the x-axis.
docstr_tok: ["Returns","a","special","reference","that","means","'the","aggregation","time","dimension","for","all","measures","in","the","data","set","'",".","Or","to","put","in","another","way",",","if","metrics","for","those","measures","were","plotted","together","on","a","graph",",","this","is","the","name","of","the","time","dimension","for","the","x-axis","."]
code: def metric_time_dimension_reference() -> TimeDimensionReference:
      """Returns a special reference that means 'the aggregation time dimension for all measures in the data set'.
  
      Or to put in another way, if metrics for those measures were plotted together on a graph, this is the name of
      the time dimension for the x-axis.
      """
      return TimeDimensionReference(
          element_name=MetricFlowReservedKeywords.METRIC_TIME.value
      )
  
file_path: metricflow/metricflow/dataset/dataset.py
imports: from __future__ import annotations
  import logging
  from typing import Optional, Sequence
  from dbt_semantic_interfaces.references import TimeDimensionReference
  from dbt_semantic_interfaces.type_enums.date_part import DatePart
  from dbt_semantic_interfaces.type_enums.time_granularity import TimeGranularity
  from dbt_semantic_interfaces.validations.unique_valid_name import MetricFlowReservedKeywords
  from metricflow.instances import InstanceSet, TimeDimensionInstance
  from metricflow.specs.specs import TimeDimensionSpec
label_desc: Use image node_id 4 for calling the DataSet obj's underlying member method code with example usage: obj.metric_time_dimension_reference() and returns: TimeDimensionReference