diff --git a/voka/tools/samples.py b/voka/tools/samples.py
deleted file mode 100644
index 70c45cc..0000000
--- a/voka/tools/samples.py
+++ /dev/null
@@ -1,57 +0,0 @@
-'''
-This module contains useful tools for creating samples from pickle files.
-'''
-
-import os
-import pickle
-import logging
-
-import numpy
-
-def create_filelist(path, file_select):
-    '''
-    Walk the path and find all the I3Files matching the given filter.
-    file_filter is a callable that returns True/False.
-    e.g.
-    filter_icecube = lambda fn: "_IT.pkl" not in fn
-    '''
-    result = list()
-    for root, dirs, files in os.walk(path):
-        for fn in files:
-            if file_select(fn):
-                result.append(os.path.join(root, fn))
-    return result
-
-def create_sample(filelist, clamp_to_min=dict()):
-    '''
-    Given a list of input pickle files, add the histograms together.
-    The result is a dictionary of only 'bin_values' (type numpy.array),
-    which are directly consumable by voka.
-    '''
-    result = dict()
-    for file_path in filelist:
-        histograms = pickle.load(open(file_path, 'rb'))
-        if 'filelist' in histograms:
-            del histograms['filelist']
-
-        # The pickle files contain a 'filelist' member alongside
-        # the histograms, so not everything's a histogram.
-        # Make sure we only care about objects with 'bin_values'
-        if not result:
-            result = {k:numpy.array(v['bin_values'])
-                      for k,v in histograms.items()
-                      if 'bin_values' in v}
-            # if we want to include nan_count, over, and under we can do that here.
-        else:
-            # add histograms
-            for k,v in histograms.items():
-                if 'bin_values' not in v:
-                    continue
-                if k not in result:
-                    result[k] = numpy.array(v['bin_values'])
-                else:
-                    h = numpy.array(result[k])
-                    r = numpy.add(h, numpy.array(v['bin_values']))
-                    result[k] = r
-    return result
-