old_contents: """
  Top-K plot with Others
  ----------------------
  This example shows how to use aggregate, window, and calculate transfromations
  to display the top-k directors by average worldwide gross while grouping the 
  remaining directors as 'All Others'.
  """
  # category: case studies
  import altair as alt
  from vega_datasets import data
  
  source = data.movies.url
  
  alt.Chart(source).mark_bar().encode(
      x=alt.X("aggregate_gross:Q", aggregate="mean", title=None),
      y=alt.Y(
          "ranked_director:N",
          sort=alt.Sort(op="mean", field="aggregate_gross", order="descending"),
          title=None,
      ),
  ).transform_aggregate(
      aggregate_gross='mean(Worldwide_Gross)',
      groupby=["Director"],
  ).transform_window(
      rank='row_number()',
      sort=[alt.SortField("aggregate_gross", order="descending")],
  ).transform_calculate(
      ranked_director="datum.rank < 10 ? datum.Director : 'All Others'"
  ).properties(
      title="Top Directors by Average Worldwide Gross",
  )
  
new_contents: """
  Top-K plot with Others
  ----------------------
  This example shows how to use aggregate, window, and calculate transfromations
  to display the top-k directors by average worldwide gross while grouping the 
  remaining directors as 'All Others'.
  """
  # category: other charts
  import altair as alt
  from vega_datasets import data
  
  source = data.movies.url
  
  alt.Chart(source).mark_bar().encode(
      x=alt.X("aggregate_gross:Q", aggregate="mean", title=None),
      y=alt.Y(
          "ranked_director:N",
          sort=alt.Sort(op="mean", field="aggregate_gross", order="descending"),
          title=None,
      ),
  ).transform_aggregate(
      aggregate_gross='mean(Worldwide_Gross)',
      groupby=["Director"],
  ).transform_window(
      rank='row_number()',
      sort=[alt.SortField("aggregate_gross", order="descending")],
  ).transform_calculate(
      ranked_director="datum.rank < 10 ? datum.Director : 'All Others'"
  ).properties(
      title="Top Directors by Average Worldwide Gross",
  )
  
subject: Update top_k_with_others.py