Plot a pyspark.RDD.histogram as a pyplot histogram (via bar)

apply.py

%matplotlib inline

buckets = [-87.0, -15, 0, 30, 120]
rdd_histogram_data = ml_bucketized_features\
  .select("ArrDelay")\
  .rdd\
  .flatMap(lambda x: x)\
  .histogram(buckets)

create_hist(rdd_histogram_data)

create_bar.py

def create_hist(rdd_histogram_data):
  """Given an RDD.histogram, plot a pyplot histogram"""
  heights = np.array(rdd_histogram_data[1])
  full_bins = rdd_histogram_data[0]
  mid_point_bins = full_bins[:-1]
  widths = [abs(i - j) for i, j in zip(full_bins[:-1], full_bins[1:])]
  bar = plt.bar(mid_point_bins, heights, width=widths, color='b')
  return bar

Thanks for your code. But I found that you should add align=edge when calling plt.bar, as the default parameter is align=center, which is not what you want in this case.