title: How to concat on axis=1 with Dask delayed? (simplified)
body: <p>Pandas and Dask produce different results (because I'm doing something wrong in Dask I think).  I want to get the Dask result to match the Pandas one here.</p>
  <p>This toy program should run as-is to demonstrate:</p>
  <pre><code>import dask
  import dask.dataframe as ddf
  import pandas as pd
  
  
  # This creates a toy pd.DataFrame
  def get(ii):
      x = 2 * ii
      return pd.DataFrame.from_dict({'a':[x + 1, x + 2]})
  
  
  if __name__ == '__main__':
  
      print('Using Pandas')
      df1 = get(0)
      df2 = get(1)
      pandas_df = pd.concat([df1, df2], axis=1)
      print(pandas_df)
  
      print('\n\nUsing Dask')
      output = []
      for ii in range(2):
          output.append(dask.delayed(get)(ii))
      temp = ddf.from_delayed(output)
      temp2 = ddf.concat([temp], axis=1)
      dask_df = temp2.compute()
      print(dask_df)
  </code></pre>
  <p>And the output:</p>
  <pre><code>Using Pandas (this is what I want)
     a  a
  0  1  3
  1  2  4
  
  
  Using Dask (oops what happened here?)
     a
  0  1
  1  2
  0  3
  1  4
  </code></pre>