Remove CsvPivotTableOutputFormatter from telemetry.

telemetry/telemetry/internal/results/csv_pivot_table_output_formatter.py

Index: telemetry/telemetry/internal/results/csv_pivot_table_output_formatter.py
diff --git a/telemetry/telemetry/internal/results/csv_pivot_table_output_formatter.py b/telemetry/telemetry/internal/results/csv_pivot_table_output_formatter.py
deleted file mode 100644
index 33b1830c0856ebd7615b1030415799bbf7f8fdfd..0000000000000000000000000000000000000000
--- a/telemetry/telemetry/internal/results/csv_pivot_table_output_formatter.py
+++ /dev/null
@@ -1,63 +0,0 @@
-# Copyright 2014 The Chromium Authors. All rights reserved.
-# Use of this source code is governed by a BSD-style license that can be
-# found in the LICENSE file.
-
-import csv
-
-from telemetry.internal.results import output_formatter
-from telemetry.value import scalar
-from telemetry.value import trace
-
-
-class CsvPivotTableOutputFormatter(output_formatter.OutputFormatter):
-  """Output the results as CSV suitable for reading into a spreadsheet.
-
-  This will write a header row, and one row for each value. Each value row
-  contains the value and unit, identifies the value (story_set, page, name), and
-  (optionally) data from --output-trace-tag. This format matches what
-  spreadsheet programs expect as input for a "pivot table".
-
-  A trace tag (--output-trace-tag) can be used to tag each value, to allow
-  easy combination of the resulting CSVs from several runs.
-  If the trace_tag contains a comma, it will be written as several
-  comma-separated values.
-
-  This class only processes scalar values.
-  """
-
-  FIELDS = ['story_set', 'page', 'name', 'value', 'units', 'run_index']
-
-  def __init__(self, output_stream, trace_tag=''):
-    super(CsvPivotTableOutputFormatter, self).__init__(output_stream)
-    self._trace_tag = trace_tag
-
-  def Format(self, page_test_results):
-    csv_writer = csv.writer(self.output_stream)
-
-    # Observe trace_tag. Use comma to split up the trace tag.
-    tag_values = self._trace_tag.split(',')
-    tag_values = [x for x in tag_values if x] # filter empty list entries
-    tag_headers = ['trace_tag_%d' % i for i in range(len(tag_values))]
-
-    # Write header.
-    csv_writer.writerow(self.FIELDS + tag_headers)
-
-    # Write all values. Each row contains a value + page-level metadata.
-    for run in page_test_results.all_page_runs:
-      run_index = page_test_results.all_page_runs.index(run)
-      page_dict = {
-          'page': run.story.name,
-          'story_set': run.story.page_set.Name(),
-          'run_index': run_index,
-      }
-      for value in run.values:
-        if (isinstance(value, scalar.ScalarValue) or
-            isinstance(value, trace.TraceValue)):
-          value_dict = {
-              'name': value.name,
-              'value': value.value,
-              'units': value.units,
-          }
-          value_dict.update(page_dict.items())
-          csv_writer.writerow(
-              [value_dict[field] for field in self.FIELDS] + tag_values)