LVecBase2f

from panda3d.core import LVecBase2f

class LVecBase2f

Bases:

This is the base class for all two-component vectors and points.

Inheritance diagram

__add__(other: LVecBase2f) → LVecBase2f

__ceil__() → object

__div__(scalar: float) → LVecBase2f

__eq__(other: LVecBase2f) → bool

__floor__() → object

__floordiv__(scalar: float) → object

__getattr__(attr_name: str) → object

__getitem__(i: int, assign_val: float)

__getitem__(i: int) → float

__iadd__(other: LVecBase2f) → LVecBase2f

__idiv__(scalar: float) → LVecBase2f

__ifloordiv__(scalar: float) → object

__imul__(scalar: float) → LVecBase2f

__init__()

__init__(param0: LVecBase2f)

__init__(fill_value: float)

__init__(x: float, y: float)

__ipow__(exponent: float) → object

__isub__(other: LVecBase2f) → LVecBase2f

__lt__(other: LVecBase2f) → bool

__mul__(scalar: float) → LVecBase2f

__ne__(other: LVecBase2f) → bool

__pow__(exponent: float) → object

__reduce__() → object

__repr__() → str

__round__() → object

__setattr__(attr_name: str, assign: object) → int

__sub__(other: LVecBase2f) → LVecBase2f

__sub__(other: LVecBase2f) → LVecBase2f

addHash(hash: int) → int: Adds the vector into the running hash.

addHash(hash: int, threshold: float) → int: Adds the vector into the running hash.

addToCell(i: int, value: float): These next functions add to an existing value. i.e. foo.set_x(foo.get_x() + value) These are useful to reduce overhead in scripting languages:

addX(value: float)

addY(value: float)

almostEqual(other: LVecBase2f) → bool: Returns true if two vectors are memberwise equal within a default tolerance based on the numeric type.

almostEqual(other: LVecBase2f, threshold: float) → bool: Returns true if two vectors are memberwise equal within a specified tolerance.

assign(copy: LVecBase2f) → LVecBase2f

assign(fill_value: float) → LVecBase2f

compareTo(other: LVecBase2f) → int: This flavor of compareTo() uses a default threshold value based on the numeric type.

compareTo(other: LVecBase2f, threshold: float) → int: Sorts vectors lexicographically, componentwise. Returns a number less than 0 if this vector sorts before the other one, greater than zero if it sorts after, 0 if they are equivalent (within the indicated tolerance).

componentwiseMult(other: LVecBase2f)

dot(other: LVecBase2f) → float

fill(fill_value: float): Sets each element of the vector to the indicated fill_value. This is particularly useful for initializing to zero.

fmax(other: LVecBase2f) → LVecBase2f

fmin(other: LVecBase2f) → LVecBase2f

generateHash(hashgen: ChecksumHashGenerator): Adds the vector to the indicated hash generator.

generateHash(hashgen: ChecksumHashGenerator, threshold: float): Adds the vector to the indicated hash generator.

getCell(i: int) → float

static getClassType() → TypeHandle

getData(): Returns the address of the first of the two data elements in the vector. The next element occupies the next position consecutively in memory.

getHash() → int: Returns a suitable hash for phash_map.

getHash(threshold: float) → int: Returns a suitable hash for phash_map.

static getNumComponents() → int

getX() → float

getY() → float

isNan() → bool: Returns true if any component of the vector is not-a-number, false otherwise.

length() → float: Returns the length of the vector, by the Pythagorean theorem.

lengthSquared() → float: Returns the square of the vector’s length, cheap and easy.

normalize() → bool: Normalizes the vector in place. Returns true if the vector was normalized, false if it was a zero-length vector.

normalized() → LVecBase2f: Normalizes the vector and returns the normalized vector as a copy. If the vector was a zero-length vector, a zero length vector will be returned.

operatorNew(size: int)

output(out: ostream)

project(onto: LVecBase2f) → LVecBase2f: Returns a new vector representing the projection of this vector onto another one. The resulting vector will be a scalar multiple of onto.

readDatagram(source: DatagramIterator): Reads the vector from the Datagram using get_stdfloat().

readDatagramFixed(source: DatagramIterator): Reads the vector from the Datagram using get_float32() or get_float64(). See writeDatagramFixed().

set(x: float, y: float)

setCell(i: int, value: float)

setX(value: float)

setY(value: float)

static size() → int

static unitX() → LVecBase2f: Returns a unit X vector.

static unitY() → LVecBase2f: Returns a unit Y vector.

writeDatagram(destination: Datagram): Writes the vector to the Datagram using add_stdfloat(). This is appropriate when you want to write the vector using the standard width setting, especially when you are writing a bam file.

writeDatagramFixed(destination: Datagram): Writes the vector to the Datagram using add_float32() or add_float64(), depending on the type of floats in the vector, regardless of the setting of Datagram.setStdfloatDouble(). This is appropriate when you want to write a fixed-width value to the datagram, especially when you are not writing a bam file.

property x → float

property y → float

static zero() → LVecBase2f: Returns a zero-length vector.