'ML/OLS Regression- keep getting ValueError: zero-size array to reduction operation maximum which has no identity

I keep getting the error "ValueError: zero-size array to reduction operation maximum which has no identity"

I transformed a few arrays from object to float64. I ran display and there are no nulls, so I'm not sure what I need to transform still.

y_sm = euifourcities_sub['site_eui']
x_sm = euifourcities_sub [['max_temp', 'min_temp', 
   'year_built', 'average_dni', 
   'owner_occupied', 'tenant_occupied', 
   'pop_65_older','pop_poverty', 
  'auditsandretrocommissionsrequire',
   'tuneupsrequiredyn', 'statepolicyyn', 
   'prop_type_coded', 'builtbefore1960',
   'lnhousehold_income_median', 'lnsf']]

x_sm = sm.add_constant(x_sm)
np.asarray(euifourcities_sub)

ols_model = sm.OLS(y_sm, x_sm, missing = 'drop').fit()
print(ols_model.summary()) # standardized coefficients

error message: 10 frames <array_function internals> in ptp(*args, **kwargs)

/usr/local/lib/python3.7/dist-packages/numpy/core/_methods.py 
 in _ptp(a, axis, out, keepdims)
    274 def _ptp(a, axis=None, out=None, keepdims=False):
    275     return um.subtract(
 --> 276         umr_maximum(a, axis, None, out, keepdims),
    277         umr_minimum(a, axis, None, None, keepdims),
    278         out

ValueError: zero-size array to reduction operation maximum 
which has no identity
arrays


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