code: def pandas_describe_counts(
      config: Settings, series: pd.Series, summary: dict
  ) -> Tuple[Settings, pd.Series, dict]:
      """Counts the values in a series (with and without NaN, distinct).
  
      Args:
          config: report Settings object
          series: Series for which we want to calculate the values.
          summary: series' summary
  
      Returns:
          A dictionary with the count values (with and without NaN, distinct).
      """
      try:
          value_counts_with_nan = series.value_counts(dropna=False)
          _ = set(value_counts_with_nan.index)
          hashable = True
      except:  # noqa: E722
          hashable = False
  
      summary["hashable"] = hashable
  
      if hashable:
          value_counts_with_nan = value_counts_with_nan[
              value_counts_with_nan > 0
          ]
  
          null_index = value_counts_with_nan.index.isnull()
          if null_index.any():
              n_missing = value_counts_with_nan[null_index].sum()
              value_counts_without_nan = value_counts_with_nan[
                  ~null_index
              ]
          else:
              n_missing = 0
              value_counts_without_nan = value_counts_with_nan
  
          summary.update(
              {
                  "value_counts_without_nan": value_counts_without_nan,
              }
          )
  
          try:
              summary["value_counts_index_sorted"] = summary[
                  "value_counts_without_nan"
              ].sort_index(ascending=True)
              ordering = True
          except TypeError:
              ordering = False
      else:
          n_missing = series.isna().sum()
          ordering = False
  
      summary["ordering"] = ordering
      summary["n_missing"] = n_missing
  
      return config, series, summary
  
imports: from typing import Tuple
  import pandas
  from ydata_profiling.config import Settings
  from ydata_profiling.model.summary_algorithms import describe_counts
label_desc: Use image node_id 1 for calling a global function with example usage: pandas_describe_counts(config, series, summary) and returns: config,  series,  summary