tests: fix test_filter_prev_values expected result

pandas 0.17.1 has a more accurate assert_series_equal() that makes
test_filter_prev_values fail because the index name is different:

======================================================================
FAIL: Trigger works with a filter that depends on previous values of the same pivot
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/javi/src/trappy/tests/test_stats.py", line 227, in test_filter_prev_values
    assert_series_equal(expected, trigger.generate("blank"))
  File "/usr/lib/python2.7/dist-packages/pandas/util/testing.py", line 924, in assert_series_equal
    obj='{0}.index'.format(obj))
  File "/usr/lib/python2.7/dist-packages/pandas/util/testing.py", line 694, in assert_index_equal
    assert_attr_equal('names', left, right, obj=obj)
  File "/usr/lib/python2.7/dist-packages/pandas/util/testing.py", line 729, in assert_attr_equal
    left_attr, right_attr)
  File "/usr/lib/python2.7/dist-packages/pandas/util/testing.py", line 819, in raise_assert_detail
    raise AssertionError(msg)
AssertionError: Series.index are different

Attribute "names" are different
[left]:  [u'Time']
[right]: [None]

----------------------------------------------------------------------

The series that trigger generates don't have a name for the index.
Remove the named index from the expected output so that the test passes
again.
1 file changed
tree: 18895412ee0d809124ed84a5101e3737f0fd4ad9
  1. doc/
  2. hooks/
  3. scripts/
  4. tests/
  5. trappy/
  6. .dir-locals.el
  7. .gitignore
  8. LICENSE
  9. README.md
  10. setup.cfg
  11. setup.py
README.md

trappy is a visualization tool to help analyze data generated on a device. It depends on ipython notebook and pandas. First install these dependencies if you don't have them already:

$ apt-get install ipython-notebook python-pandas

Now launch the ipython notebook server:

$ ipython notebook

This should pop up a browser. If it doesn't, open a web browser and go to http://localhost:8888/tree/

In the doc/ folder there's a 00 - Quick start which describes how to run trappy. Other notebooks in that directory describe other functions of trappy.