class sknano.core.math.Vector[source][source]

Abstract object representation of a vector in \(R^n\)


v : array_like, optional

components of vector

nd : {None, int}, optional

p0 : array_like, optional

Origin Point of vector in \(R^n\) space.

p : array_like, optional

Terminating Point of vector. \(x, y\) coordinates of point in \(R^2\) space. \(x, y, z\) coordinates of point in \(R^3\) space.

dtype : data-type, optional

copy : bool, optional



add new methods for coordinate transformations


I began writing my own Point and Vector classes while trying to teach myself about subclassing ndarray. I still don’t completely understand the machinery of it, but I ended up with some code that’s been useful for handling math operations involving points and vectors. More testing is in order...

Here are some examples of their use.


T Same as self.transpose(), except that self is returned if self.ndim < 2.
base Base object if memory is from some other object.
column_matrix Return column matrix representation of Vector coordinates.
ctypes An object to simplify the interaction of the array with the ctypes module.
data Python buffer object pointing to the start of the array’s data.
dtype Data-type of the array’s elements.
flags Information about the memory layout of the array.
flat A 1-D iterator over the array.
imag The imaginary part of the array.
itemsize Length of one array element in bytes.
length Alias for Vector.norm.
mag Alias for Vector.norm.
magnitude Alias for Vector.norm.
nbytes Total bytes consumed by the elements of the array.
ndim Number of array dimensions.
norm Return the vector norm.
p Point of Vector head.
p0 Point of Vector tail.
real The real part of the array.
row_matrix Return row matrix representation of Vector coordinates.
shape Tuple of array dimensions.
size Number of elements in the array.
strides Tuple of bytes to step in each dimension when traversing an array.
unit_vector Return unit vector.


all([axis, out, keepdims]) Returns True if all elements evaluate to True.
angle(other) Angle between two Vectors.
any([axis, out, keepdims]) Returns True if any of the elements of a evaluate to True.
argmax([axis, out]) Return indices of the maximum values along the given axis.
argmin([axis, out]) Return indices of the minimum values along the given axis of a.
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() Return a copy of the Vector.
cross(other) Cross product of two Vectors.
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.
dot(other[, out]) Dot product of two Vectors.
dump(file) Dump a pickle of the array to the specified file.
dumps() Returns the pickle of the array as a string.
fill(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]) Return the maximum along a given axis.
mean([axis, dtype, out, keepdims]) Returns the average of the array elements along given axis.
min([axis, out, keepdims]) 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.
normalize() Normalize the Vector to a unit_vector.
partition(kth[, axis, kind, order]) Rearranges the elements in the array in such a way that value of the element in kth position is in the position it would be in a sorted array.
prod([axis, dtype, out, keepdims]) Return the product of the array elements over the given axis
projection(v) Vector projection onto Vector v.
ptp([axis, out]) 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.
rejection(v) Vector rejection onto Vector v.
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.
rezero([epsilon]) Re-zero Vector coordinates near zero.
rezero_components([epsilon]) Alias for Vector.rezero
rotate([angle, axis, anchor_point, ...]) Rotate Vector coordinates.
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, and UPDATEIFCOPY, respectively.
sort([axis, kind, order]) Sort an array, in-place.
squeeze([axis]) Remove single-dimensional entries from the shape of a.
std([axis, dtype, out, ddof, keepdims]) Returns the standard deviation of the array elements along given axis.
sum([axis, dtype, out, keepdims]) 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() List of Vector coordinates with values formatted for pretty output.
tostring([order]) Construct Python bytes containing the raw data bytes in the array.
trace([offset, axis1, axis2, dtype, out]) Return the sum along diagonals of the array.
translate(t[, fix_anchor_point]) Translate Vector coordinates by Vector t.
transpose(*axes) Returns a view of the array with axes transposed.
var([axis, dtype, out, ddof, keepdims]) Returns the variance of the array elements, along given axis.
view([dtype, type]) New view of array with the same data.