Weird error with Cox PH - Numpy arrays

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/ops.py in na_op(x, y)
   1175             result = expressions.evaluate(op, str_rep, x, y,
-> 1176                                           raise_on_error=True, **eval_kwargs)
   1177         except TypeError:

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/computation/expressions.py in evaluate(op, op_str, a, b, raise_on_error, use_numexpr, **eval_kwargs)
    210         return _evaluate(op, op_str, a, b, raise_on_error=raise_on_error,
--> 211                          **eval_kwargs)
    212     return _evaluate_standard(op, op_str, a, b, raise_on_error=raise_on_error)

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/computation/expressions.py in _evaluate_standard(op, op_str, a, b, raise_on_error, **eval_kwargs)
     63     with np.errstate(all='ignore'):
---> 64         return op(a, b)
     65 

TypeError: can't multiply sequence by non-int of type 'float'

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in eval(self, func, other, raise_on_error, try_cast, mgr)
   1183             with np.errstate(all='ignore'):
-> 1184                 result = get_result(other)
   1185 

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in get_result(other)
   1152             else:
-> 1153                 result = func(values, other)
   1154 

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/ops.py in na_op(x, y)
   1201                     with np.errstate(all='ignore'):
-> 1202                         result[mask] = op(xrav, y)
   1203             else:

TypeError: can't multiply sequence by non-int of type 'float'

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
<ipython-input-78-12234b38d026> in <module>()
      2                duration_col='observed_duration',
      3                event_col='defaulted',
----> 4                strata='Term')
      5 cf.print_summary()

~/.conda/envs/mypython3/lib/python3.6/site-packages/lifelines/fitters/coxph_fitter.py in fit(self, df, duration_col, event_col, show_progress, initial_beta, include_likelihood, strata)
    299         self._norm_mean = df.mean(0)
    300         self._norm_std = df.std(0)
--> 301         df = normalize(df, self._norm_mean, self._norm_std)
    302 
    303         E = E.astype(bool)

~/.conda/envs/mypython3/lib/python3.6/site-packages/lifelines/utils/__init__.py in normalize(X, mean, std)
    509         mean = X.mean(0)
    510         std = X.std(0)
--> 511     return (X - mean) / std
    512 
    513 

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/ops.py in f(self, other, axis, level, fill_value)
   1234             return self._combine_frame(other, na_op, fill_value, level)
   1235         elif isinstance(other, ABCSeries):
-> 1236             return self._combine_series(other, na_op, fill_value, axis, level)
   1237         else:
   1238             if fill_value is not None:

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/frame.py in _combine_series(self, other, func, fill_value, axis, level)
   3504                                                    fill_value=fill_value)
   3505         return self._combine_series_infer(other, func, level=level,
-> 3506                                           fill_value=fill_value)
   3507 
   3508     def _combine_series_infer(self, other, func, level=None, fill_value=None):

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/frame.py in _combine_series_infer(self, other, func, level, fill_value)
   3508     def _combine_series_infer(self, other, func, level=None, fill_value=None):
   3509         if len(other) == 0:
-> 3510             return self * NA
   3511 
   3512         if len(self) == 0:

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/ops.py in f(self, other, axis, level, fill_value)
   1239                 self = self.fillna(fill_value)
   1240 
-> 1241             return self._combine_const(other, na_op)
   1242 
   1243     f.__name__ = name

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/frame.py in _combine_const(self, other, func, raise_on_error)
   3541     def _combine_const(self, other, func, raise_on_error=True):
   3542         new_data = self._data.eval(func=func, other=other,
-> 3543                                    raise_on_error=raise_on_error)
   3544         return self._constructor(new_data)
   3545 

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in eval(self, **kwargs)
   3195 
   3196     def eval(self, **kwargs):
-> 3197         return self.apply('eval', **kwargs)
   3198 
   3199     def quantile(self, **kwargs):

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in apply(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)
   3089 
   3090             kwargs['mgr'] = self
-> 3091             applied = getattr(b, f)(**kwargs)
   3092             result_blocks = _extend_blocks(applied, result_blocks)
   3093 

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in eval(self, func, other, raise_on_error, try_cast, mgr)
   1189             raise
   1190         except Exception as detail:
-> 1191             result = handle_error()
   1192 
   1193         # technically a broadcast error in numpy can 'work' by returning a

~/.conda/envs/mypython3/lib/python3.6/site-packages/pandas/core/internals.py in handle_error()
   1172                 # The 'detail' variable is defined in outer scope.
   1173                 raise TypeError('Could not operate %s with block values %s' %
-> 1174                                 (repr(other), str(detail)))  # noqa
   1175             else:
   1176                 # return the values

TypeError: Could not operate nan with block values can't multiply sequence by non-int of type 'float'

[peadarcoylezopa]

Ahh thanks man. I would have done it after work 😃

[peadarcoylezopa]

I dropped Market in the second regression model. Sorry for the lack of clarity.

Is this worth a PR to add a better exception error?