firecrown.likelihood.gauss_family.statistic.statistic.DataVector#
- class firecrown.likelihood.gauss_family.statistic.statistic.DataVector[source]#
Bases:
ndarray[Any,dtype[float64]]This class wraps a np.ndarray that represents some observed data values.
Public Methods:
create(vals)Create a DataVector that wraps a copy of the given array vals.
from_list(vals)Create a DataVector from the given list of floats.
Inherited from
ndarray__repr__()Return repr(self).
__str__()Return str(self).
__lt__(value, /)Return self<value.
__le__(value, /)Return self<=value.
__eq__(value, /)Return self==value.
__ne__(value, /)Return self!=value.
__gt__(value, /)Return self>value.
__ge__(value, /)Return self>=value.
__iter__()Implement iter(self).
__buffer__(flags, /)Return a buffer object that exposes the underlying memory of the object.
__add__(value, /)Return self+value.
__radd__(value, /)Return value+self.
__sub__(value, /)Return self-value.
__rsub__(value, /)Return value-self.
__mul__(value, /)Return self*value.
__rmul__(value, /)Return value*self.
__mod__(value, /)Return self%value.
__rmod__(value, /)Return value%self.
__divmod__(value, /)Return divmod(self, value).
__rdivmod__(value, /)Return divmod(value, self).
__pow__(value[, mod])Return pow(self, value, mod).
__rpow__(value[, mod])Return pow(value, self, mod).
__neg__()-self
__pos__()+self
__abs__()abs(self)
__bool__()True if self else False
__invert__()~self
__lshift__(value, /)Return self<<value.
__rlshift__(value, /)Return value<<self.
__rshift__(value, /)Return self>>value.
__rrshift__(value, /)Return value>>self.
__and__(value, /)Return self&value.
__rand__(value, /)Return value&self.
__xor__(value, /)Return self^value.
__rxor__(value, /)Return value^self.
__or__(value, /)Return self|value.
__ror__(value, /)Return value|self.
__int__()int(self)
__float__()float(self)
__iadd__(value, /)Return self+=value.
__isub__(value, /)Return self-=value.
__imul__(value, /)Return self*=value.
__imod__(value, /)Return self%=value.
__ipow__(value, /)Return self**=value.
__ilshift__(value, /)Return self<<=value.
__irshift__(value, /)Return self>>=value.
__iand__(value, /)Return self&=value.
__ixor__(value, /)Return self^=value.
__ior__(value, /)Return self|=value.
__floordiv__(value, /)Return self//value.
__rfloordiv__(value, /)Return value//self.
__truediv__(value, /)Return self/value.
__rtruediv__(value, /)Return value/self.
__ifloordiv__(value, /)Return self//=value.
__itruediv__(value, /)Return self/=value.
__index__()Return self converted to an integer, if self is suitable for use as an index into a list.
__matmul__(value, /)Return self@value.
__rmatmul__(value, /)Return value@self.
__imatmul__(value, /)Return self@=value.
__len__()Return len(self).
__getitem__(key, /)Return self[key].
__setitem__(key, value, /)Set self[key] to value.
__delitem__(key, /)Delete self[key].
__contains__(key, /)Return bool(key in self).
__array__([dtype], /)Returns either a new reference to self if dtype is not given or a new array of provided data type if dtype is different from the current dtype of the array.
__array_prepare__(array[, context], /)Returns a view of array with the same type as self.
__array_finalize__(obj, /)Present so subclasses can call super.
__array_wrap__(array[, context], /)Returns a view of array with the same type as self.
__array_ufunc____array_function____sizeof__Size of object in memory, in bytes.
__copy__()Used if
copy.copy()is called on an array.__deepcopy__(memo, /)Used if
copy.deepcopy()is called on an array.__reduce__()For pickling.
__reduce_ex__Helper for pickle.
__setstate__(state, /)For unpickling.
dumps()Returns the pickle of the array as a string.
dump(file)Dump a pickle of the array to the specified file.
__complex____format__Default object formatter.
__class_getitem__(item, /)Return a parametrized wrapper around the ~numpy.ndarray type.
all([axis, out, keepdims, where])Returns True if all elements evaluate to True.
any([axis, out, keepdims, where])Returns True if any of the elements of a evaluate to True.
argmax([axis, out, keepdims])Return indices of the maximum values along the given axis.
argmin([axis, out, keepdims])Return indices of the minimum values along the given axis.
argpartition(kth[, axis, kind, order])Returns the indices that would partition this array.
argsort([axis, kind, order])Returns the indices that would sort this array.
astype(dtype[, order, casting, subok, copy])Copy of the array, cast to a specified type.
byteswap([inplace])Swap the bytes of the array elements
choose(choices[, out, mode])Use an index array to construct a new array from a set of choices.
clip([min, max, out])Return an array whose values are limited to
[min, max].compress(condition[, axis, out])Return selected slices of this array along given axis.
conj()Complex-conjugate all elements.
conjugate()Return the complex conjugate, element-wise.
copy([order])Return a copy of the array.
cumprod([axis, dtype, out])Return the cumulative product of the elements along the given axis.
cumsum([axis, dtype, out])Return the cumulative sum of the elements along the given axis.
diagonal([offset, axis1, axis2])Return specified diagonals.
dotfill(value)Fill the array with a scalar value.
flatten([order])Return a copy of the array collapsed into one dimension.
getfield(dtype[, offset])Returns a field of the given array as a certain type.
item(*args)Copy an element of an array to a standard Python scalar and return it.
itemset(*args)Insert scalar into an array (scalar is cast to array's dtype, if possible)
max([axis, out, keepdims, initial, where])Return the maximum along a given axis.
mean([axis, dtype, out, keepdims, where])Returns the average of the array elements along given axis.
min([axis, out, keepdims, initial, where])Return the minimum along a given axis.
newbyteorder([new_order])Return the array with the same data viewed with a different byte order.
nonzero()Return the indices of the elements that are non-zero.
partition(kth[, axis, kind, order])Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array.
prod([axis, dtype, out, keepdims, initial, ...])Return the product of the array elements over the given axis
ptp([axis, out, keepdims])Peak to peak (maximum - minimum) value along a given axis.
put(indices, values[, mode])Set
a.flat[n] = values[n]for all n in indices.ravel([order])Return a flattened array.
repeat(repeats[, axis])Repeat elements of an array.
reshape(shape[, order])Returns an array containing the same data with a new shape.
resize(new_shape[, refcheck])Change shape and size of array in-place.
round([decimals, out])Return a with each element rounded to the given number of decimals.
searchsorted(v[, side, sorter])Find indices where elements of v should be inserted in a to maintain order.
setfield(val, dtype[, offset])Put a value into a specified place in a field defined by a data-type.
setflags([write, align, uic])Set array flags WRITEABLE, ALIGNED, WRITEBACKIFCOPY, respectively.
sort([axis, kind, order])Sort an array in-place.
squeeze([axis])Remove axes of length one from a.
std([axis, dtype, out, ddof, keepdims, where])Returns the standard deviation of the array elements along given axis.
sum([axis, dtype, out, keepdims, initial, where])Return the sum of the array elements over the given axis.
swapaxes(axis1, axis2)Return a view of the array with axis1 and axis2 interchanged.
take(indices[, axis, out, mode])Return an array formed from the elements of a at the given indices.
tobytes([order])Construct Python bytes containing the raw data bytes in the array.
tofile(fid[, sep, format])Write array to a file as text or binary (default).
tolist()Return the array as an
a.ndim-levels deep nested list of Python scalars.tostring([order])A compatibility alias for tobytes, with exactly the same behavior.
trace([offset, axis1, axis2, dtype, out])Return the sum along diagonals of the array.
transpose(*axes)Returns a view of the array with axes transposed.
var([axis, dtype, out, ddof, keepdims, where])Returns the variance of the array elements, along given axis.
view([dtype][, type])New view of array with the same data.
__dlpack__(*[, stream])DLPack Protocol: Part of the Array API.
__dlpack_device__()DLPack Protocol: Part of the Array API.
- classmethod create(vals)[source]#
Create a DataVector that wraps a copy of the given array vals.
- Parameters:
vals (
ndarray[Any,dtype[float64]]) –- Return type: