better naming _test_ func -> _get_expected_digits_

benford/benford.py

@@ -8,7 +8,7 @@
 from .utils import _set_N_, input_data, prepare, \
     subtract_sorted, prep_to_roll, mad_to_roll, mse_to_roll, \
     get_mantissas
-from .expected import First, Second, LastTwo, _test_
+from .expected import _get_expected_digits_ # First, Second, LastTwo
 from .viz import _get_plot_args, plot_digs, plot_sum, plot_ordered_mantissas,\
     plot_mantissa_arc_test, plot_roll_mse, plot_roll_mad
 from .reports import _inform_, _report_mad_, _report_test_, _deprecate_inform_,\
@@ -113,7 +113,7 @@ class Test(DataFrame):
 
     def __init__(self, base, digs, confidence, limit_N=None, sec_order=False):
         # create a separated Expected distributions object
-        super(Test, self).__init__(_test_(digs))
+        super(Test, self).__init__(_get_expected_digits_(digs))
         # create column with occurrences of the digits in the base
         self['Counts'] = base[digs_dict[digs]].value_counts()
         # create column with relative frequencies

benford/expected.py

@@ -95,7 +95,7 @@ def __init__(self, num=False, plot=True, save_plot=None, save_plot_kwargs=None):
                           save_plot_kwargs=save_plot_kwargs)
 
 
-def _test_(digs):
+def _get_expected_digits_(digs):
     """Chooses the Exxpected class to be used in a test
 
     Args:

benford/utils.py

@@ -1,6 +1,6 @@
 from pandas import Series, DataFrame
 from numpy import array, arange, log10, ndarray
-from .expected import _test_
+from .expected import _get_expected_digits_
 from .constants import digs_dict, rev_digs
 from .stats import Z_score
 from .checks import _check_num_array_, _check_sign_, _check_decimals_
@@ -136,7 +136,7 @@ def get_found_proportions(data):
 def join_expect_found_diff(data, digs):
     """
     """
-    dd = _test_(digs).join(data).fillna(0)
+    dd =_get_expected_digits_(digs).join(data).fillna(0)
     # create column with absolute differences
     dd['Dif'] = dd.Found - dd.Expected
     dd['AbsDif'] = dd.Dif.abs()