panda3d.core.LVecBase2f¶

from panda3d.core import LVecBase2f

class LVecBase2f¶

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

Inheritance diagram

__init__() → None¶

__init__(param0: LVecBase2f) → None

__init__(fill_value: float) → None

__init__(x: float, y: float) → None

operatorNew(size: size_t) → None¶

assign(copy: LVecBase2f) → LVecBase2f¶

Return type: LVecBase2f

assign(fill_value: float) → LVecBase2f

Return type: LVecBase2f

static zero() → LVecBase2f¶

Returns a zero-length vector.

Return type: LVecBase2f

static unitX() → LVecBase2f¶

Returns a unit X vector.

Return type: LVecBase2f

static unitY() → LVecBase2f¶

Returns a unit Y vector.

Return type: LVecBase2f

static size() → int¶

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

getCell(i: int) → float¶

setCell(i: int, value: float) → None¶

getX() → float¶

getY() → float¶

setX(value: float) → None¶

setY(value: float) → None¶

addToCell(i: int, value: float) → None¶: 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) → None¶

addY(value: float) → None¶

getData() → None¶: Returns the address of the first of the two data elements in the vector. The next element occupies the next position consecutively in memory.

static getNumComponents() → int¶

fill(fill_value: float) → None¶: Sets each element of the vector to the indicated fill_value. This is particularly useful for initializing to zero.

set(x: float, y: float) → None¶

dot(other: LVecBase2f) → float¶

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

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

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.

Return type: LVecBase2f

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.

Return type: LVecBase2f

compareTo(other: LVecBase2f) → int¶: This flavor of compare_to 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).

getHash() → size_t¶

Returns a suitable hash for phash_map.

Return type: size_t

getHash(threshold: float) → size_t

Returns a suitable hash for phash_map.

Return type: size_t

addHash(hash: size_t) → size_t¶

Adds the vector into the running hash.

Return type: size_t

addHash(hash: size_t, threshold: float) → size_t

Adds the vector into the running hash.

Return type: size_t

generateHash(hashgen: ChecksumHashGenerator) → None¶: Adds the vector to the indicated hash generator.

generateHash(hashgen: ChecksumHashGenerator, threshold: float) → None: Adds the vector to the indicated hash generator.

componentwiseMult(other: LVecBase2f) → None¶

fmax(other: LVecBase2f) → LVecBase2f¶

Return type: LVecBase2f

fmin(other: LVecBase2f) → LVecBase2f¶

Return type: LVecBase2f

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.

output(out: ostream) → None¶

writeDatagramFixed(destination: Datagram) → None¶: 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.

readDatagramFixed(source: DatagramIterator) → None¶: Reads the vector from the Datagram using get_float32() or get_float64(). See writeDatagramFixed().

writeDatagram(destination: Datagram) → None¶: 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.

readDatagram(source: DatagramIterator) → None¶: Reads the vector from the Datagram using get_stdfloat().

static getClassType() → TypeHandle¶

Return type: TypeHandle

property x¶

Getter Setter

Return type: float

property y¶

Getter Setter

Return type: float