code: def test_describe_df(
      column, describe_data, expected_results, summarizer
  ):
      config = Settings()
      config.vars.num.low_categorical_threshold = 0
  
      typeset = ProfilingTypeSet(config)
  
      describe_data_frame = pd.DataFrame(
          {column: describe_data[column]}
      )
      if column == "somedate":
          describe_data_frame["somedate"] = pd.to_datetime(
              describe_data_frame["somedate"]
          )
  
      results = describe(
          config, describe_data_frame, summarizer, typeset
      )
  
      assert {
          "analysis",
          "time_index_analysis",
          "table",
          "variables",
          "scatter",
          "correlations",
          "missing",
          "alerts",
          "package",
          "sample",
          "duplicates",
      } == set(asdict(results).keys()), "Not in results"
  
      # Loop over variables
      for k, v in expected_results[column].items():
          if v == check_is_NaN:
              test_condition = k not in results.variables[column]
          elif isinstance(v, float):
              test_condition = (
                  pytest.approx(v) == results.variables[column][k]
              )
          else:
              test_condition = v == results.variables[column][k]
  
          assert (
              test_condition
          ), f"Value `{results.variables[column][k]}` for key `{k}` in column `{column}` is not NaN"
  
      if results.variables[column]["type"] in ["Numeric", "DateTime"]:
          assert (
              "histogram" in results.variables[column]
          ), f"Histogram missing for column {column}"
  
file_path: ydata-profiling/tests/unit/test_describe.py
imports: import datetime
  from dataclasses import asdict
  import numpy
  import pandas
  import pytest
  from ydata_profiling.config import Settings
  from ydata_profiling.model.describe import describe
  from ydata_profiling.model.summary import describe_1d
  from ydata_profiling.model.typeset import ProfilingTypeSet
label_desc: Use image node_id 5 for calling a global function with example usage: test_describe_df(column, describe_data, expected_results, summarizer) without return types