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gerrymandertests's Issues

Creating classes

I've been playing with the methods in the metrics.py file and have found myself mimicking the functionality in new classes. For example, I've replaced use of _stats in metrics.py with a class I call VoteShares:

Screen Shot 2020-04-15 at 12 07 15 AM

Screen Shot 2020-04-15 at 12 06 36 AM

I had hoped to put up an explanatory PR, but I'm not allowed to make pull requests. Would you have interest in adding some of these classes to your repo? They make some use of the methods a bit more concise e.g.
mwu: MannWhitneyU = MannWhitneyU([.1, .2, .3, .4, .5, .6, .7, .8, .9, 1.0])
mwu.get_statistic()
mwu.get_p_value()

TypeError when using g.bootstrap

I'm trying to use Wang's 3 tests. However, when trying to use Test 1 (the excess seats test), I get the following errors:
KeyError: 'bootstrap'
TypeError: object of type 'numpy.float64' has no len()

Code to replicate the error:

impute_val = 1
chambers = defaultdict(lambda: defaultdict(list))
chambers['Congressional']['filepath'] = 'election_data/congressional_election_results_post1948.csv'

metric_dict = {'bootstrap': g.bootstrap,
               't_test_diff':            g.t_test_diff,
               'mean_median_diff':       g.mean_median}
for chamber in chambers:
    chambers[chamber]['elections_df'] = g.parse_results(chambers[chamber]['filepath'])
    chambers[chamber]['tests_df'] = g.tests_df(g.run_all_tests(
        chambers[chamber]['elections_df'],
        impute_val=impute_val,
        metrics=metric_dict))

I'm using Python 3.6.
I guess the error may come from this part of the function 'bootstrap', but I'm not sure how to solve it:
n_matches = len(match_seats)

Is it also possible that I'm using the function incorrectly. I would appreciate any help!

Update: I also got the same error when using g.t_test and g.mean_median_test.

Need to use older Pandas version

This package uses deprecated features from Pandas that are no longer available in Pandas version 1.0 or higher. Accordingly, one should use a virtual environment to install an older version of pandas e.g. pandas==0.25.1 until this issues.

First Notebook example doesn't work: apparently expects a state data file to already be there?

I'm trying to run the gerrymandertests, but apparently it relies on my separately downloading state-specific files (I'm particularly interested in New Mexico) and I can't find any documentation on where to get them.

If I just run the notebook, here's the error:

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-1-54dcfe840d25> in <module>
     41 
     42 for chamber in chambers:
---> 43     chambers[chamber]['elections_df'] = g.parse_results(chambers[chamber]['filepath'])
     44     chambers[chamber]['tests_df'] = g.tests_df(g.run_all_tests(
     45         chambers[chamber]['elections_df'],

~/outsrc/gerrymandertests/gerrymetrics/utils.py in parse_results(input_filepath, start_year, coerce_odd_years)
     12     '''
     13 
---> 14     df = pd.read_csv(input_filepath)
     15 
     16     df = df[df['Year'] >= start_year]

~/pythonenv/gerry/lib/python3.7/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
    674         )
    675 
--> 676         return _read(filepath_or_buffer, kwds)
    677 
    678     parser_f.__name__ = name

~/pythonenv/gerry/lib/python3.7/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    446 
    447     # Create the parser.
--> 448     parser = TextFileReader(fp_or_buf, **kwds)
    449 
    450     if chunksize or iterator:

~/pythonenv/gerry/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    878             self.options["has_index_names"] = kwds["has_index_names"]
    879 
--> 880         self._make_engine(self.engine)
    881 
    882     def close(self):

~/pythonenv/gerry/lib/python3.7/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
   1112     def _make_engine(self, engine="c"):
   1113         if engine == "c":
-> 1114             self._engine = CParserWrapper(self.f, **self.options)
   1115         else:
   1116             if engine == "python":

~/pythonenv/gerry/lib/python3.7/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
   1889         kwds["usecols"] = self.usecols
   1890 
-> 1891         self._reader = parsers.TextReader(src, **kwds)
   1892         self.unnamed_cols = self._reader.unnamed_cols
   1893 

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()

FileNotFoundError: [Errno 2] File election_data/state_legislative/state_legislative_election_results_post1971.csv does not exist: 'election_data/state_legislative/state_legislative_election_results_post1971.csv'

election_data/congressional_election_results_post1948.csv comes as part of the repository, but election_data/state_legislative/ is an empty directory. Where can I get the files that it expected there?

In NM we're actively fighting for better redistricting (I'm webmaster for fairdistrictsnm.org) and I'd love to get some quantitative measurements I could show to legislators and display on the website.

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