import numpy as np
from pandas.compat import reduce
import pandas as pd
def _ensure_decoded(s):
""" if we have bytes, decode them to unicode """
if isinstance(s, (np.bytes_, bytes)):
s = s.decode(pd.get_option('display.encoding'))
return s
def _result_type_many(*arrays_and_dtypes):
""" wrapper around numpy.result_type which overcomes the NPY_MAXARGS (32)
argument limit """
try:
return np.result_type(*arrays_and_dtypes)
except ValueError:
# we have > NPY_MAXARGS terms in our expression
return reduce(np.result_type, arrays_and_dtypes)
class NameResolutionError(NameError):
pass