Source code for datasci_tools.numpy_dep

from numpy import *
from numpy import array as _arr

[docs]def array(*args,**kwargs): try: x = _arr(*args,**kwargs) except: kwargs["dtype"] = "object" x = _arr(*args,**kwargs) return x
import numpy
[docs]def max(*args,**kwargs): return numpy.max(*args,**kwargs)
[docs]def min(*args,**kwargs): return numpy.min(*args,**kwargs)
[docs]def round(*args,**kwargs): return numpy.round(*args,**kwargs)
[docs]def abs(*args,**kwargs): return numpy.abs(*args,**kwargs)
bool = numpy.bool_ float = numpy.float_ # def bool(*args,**kwargs): # return numpy.bool_(*args,**kwargs) # from numpy import int as _int # def int(*args,**kwargs): # return _int(*args,**kwargs)