panda3d.core.LVecBase2f¶
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class
LVecBase2f¶ This is the base class for all two-component vectors and points.
Inheritance diagram
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__init__() → None¶
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__init__(param0: LVecBase2f) → None
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__init__(fill_value: float) → None
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__init__(x: float, y: float) → None
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operatorNew(size: size_t) → None¶
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assign(copy: LVecBase2f) → LVecBase2f¶ - Return type
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assign(fill_value: float) → LVecBase2f - Return type
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static
zero() → LVecBase2f¶ Returns a zero-length vector.
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static
unitX() → LVecBase2f¶ Returns a unit X vector.
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static
unitY() → LVecBase2f¶ Returns a unit Y vector.
- Return type
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static
size() → int¶
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isNan() → bool¶ Returns true if any component of the vector is not-a-number, false otherwise.
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getCell(i: int) → float¶
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setCell(i: int, value: float) → None¶
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getX() → float¶
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getY() → float¶
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setX(value: float) → None¶
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setY(value: float) → None¶
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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:
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addX(value: float) → None¶
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addY(value: float) → None¶
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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.
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static
getNumComponents() → int¶
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fill(fill_value: float) → None¶ Sets each element of the vector to the indicated fill_value. This is particularly useful for initializing to zero.
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set(x: float, y: float) → None¶
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dot(other: LVecBase2f) → float¶
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lengthSquared() → float¶ Returns the square of the vector’s length, cheap and easy.
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length() → float¶ Returns the length of the vector, by the Pythagorean theorem.
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normalize() → bool¶ Normalizes the vector in place. Returns true if the vector was normalized, false if it was a zero-length vector.
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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.
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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.
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compareTo(other: LVecBase2f) → int¶ This flavor of compare_to uses a default threshold value based on the numeric type.
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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).
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getHash() → size_t¶ Returns a suitable hash for phash_map.
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size_t
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getHash(threshold: float) → size_t Returns a suitable hash for phash_map.
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size_t
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addHash(hash: size_t) → size_t¶ Adds the vector into the running hash.
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size_t
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addHash(hash: size_t, threshold: float) → size_t Adds the vector into the running hash.
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size_t
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generateHash(hashgen: ChecksumHashGenerator) → None¶ Adds the vector to the indicated hash generator.
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generateHash(hashgen: ChecksumHashGenerator, threshold: float) → None Adds the vector to the indicated hash generator.
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componentwiseMult(other: LVecBase2f) → None¶
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fmax(other: LVecBase2f) → LVecBase2f¶ - Return type
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fmin(other: LVecBase2f) → LVecBase2f¶ - Return type
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almostEqual(other: LVecBase2f) → bool¶ Returns true if two vectors are memberwise equal within a default tolerance based on the numeric type.
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almostEqual(other: LVecBase2f, threshold: float) → bool Returns true if two vectors are memberwise equal within a specified tolerance.
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output(out: ostream) → None¶
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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.
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readDatagramFixed(source: DatagramIterator) → None¶ Reads the vector from the Datagram using get_float32() or get_float64(). See
writeDatagramFixed().
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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.
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readDatagram(source: DatagramIterator) → None¶ Reads the vector from the Datagram using get_stdfloat().
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static
getClassType() → TypeHandle¶ - Return type
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property
x¶ Getter Setter
- Return type
float
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property
y¶ Getter Setter
- Return type
float
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