This function must be monotonic and such that it maps the interval [0, 1] onto itself. As a particular case we choose the second turning point to be a power of the first $${r}_{{{\rm{t2}}}(\tilde{L})={[{r}_{{{\rm{t1}}}(\tilde{L})]}^{\alpha }$$ (9) so that...
is_monotonic Returns True if each element is greater than or equal to the previous element is_unique Returns True if the Index has no duplicate values isin Compute a Boolean array that indicates whether each value is contained in the passed collection unique Compute the array of unique values ...
ax = Index(ax.get_level_values(level), name=ax.names[level])else:iflevelnotin(0, ax.name):raiseValueError("The level {0} is not valid".format(level))# possibly sortif(self.sortorsort)andnotax.is_monotonic:# The following line is different from the base class for# possible extension...
values = np.asarray(idx.values)iflen(index) ==0:continueelifisinstance(index, DatetimeIndexOpsMixin): values[1] = iNaTelifisinstance(index, (Int64Index,UInt64Index)):continueelse: values[1] = np.nanifisinstance(index, PeriodIndex): idx = index.__class__(values, freq=index.freq)else: id...
key takes the input values, and then the original list is sorted based on key's output - where the output goes determines the resulting order of the input. You want to think of pandas as doing the same, but vectorized. So it gives you an index [1, 3, 2] and you return an index...
In this study, the concept of the Fracture Energy (FE) Index was explored as a fracture parameter to characterize and differentiate the cracking resistance potential of hot-mix asphalt (HMA) subjected to the Overlay Tester (OT) test under monotonic loading in the laboratory; denoted herein as ...
def_simple_new(cls,left,right,closed=None,copy=False,dtype=None,verify_integrity=True):result=IntervalMixin.__new__(cls)closed=closedor'right'left=ensure_index(left,copy=copy)right=ensure_index(right,copy=copy)ifdtypeisnotNone:# GH 19262: dtype must be an IntervalDtype to override inferred...
We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {...
# 需要导入模块: import pandas [as 别名]# 或者: from pandas importTimedeltaIndex[as 别名]deftest_sort_values(self):idx =TimedeltaIndex(['4d','1d','2d']) ordered = idx.sort_values()assertordered.is_monotonic ordered = idx.sort_values(ascending=False)assertordered[::-1].is_monotonic ...
return x.values elif isinstance(x, Categorical): return x else: raise TypeError("all components to combine must be Categorical") to_union = [_maybe_unwrap(x) for x in to_union] first = to_union[0] if not all(is_dtype_equal(other.categories.dtype, first.categories.dtype) ...