Matrix#
Matrix is a rowmajor 3x3 matrix used by image transformations in MuPDF (which complies with the respective concepts laid down in the Adobe PDF References). With matrices you can manipulate the rendered image of a page in a variety of ways: (parts of) the page can be rotated, zoomed, flipped, sheared and shifted by setting some or all of just six float values.
Since all points or pixels live in a twodimensional space, one column vector of that matrix is a constant unit vector, and only the remaining six elements are used for manipulations. These six elements are usually represented by [a, b, c, d, e, f]. Here is how they are positioned in the matrix:
Please note:
the below methods are just convenience functions – everything they do, can also be achieved by directly manipulating the six numerical values
all manipulations can be combined – you can construct a matrix that rotates and shears and scales and shifts, etc. in one go. If you however choose to do this, do have a look at the remarks further down or at the Adobe PDF References.
Method / Attribute 
Description 

perform a rotation 

perform a scaling 

perform a shearing (skewing) 

perform a translation (shifting) 

perform a matrix multiplication 

calculate the inverted matrix 

the Euclidean norm 

zoom factor X direction 

shearing effect Y direction 

shearing effect X direction 

zoom factor Y direction 

horizontal shift 

vertical shift 

true if rect corners will remain rect corners 
Class API
 class Matrix#
 __init__(self)#
 __init__(self, zoomx, zoomy)#
 __init__(self, shearx, sheary, 1)#
 __init__(self, a, b, c, d, e, f)#
 __init__(self, matrix)#
 __init__(self, degree)#
 __init__(self, sequence)#
Overloaded constructors.
Without parameters, the zero matrix Matrix(0.0, 0.0, 0.0, 0.0, 0.0, 0.0) will be created.
zoom* and shear* specify zoom or shear values (float) and create a zoom or shear matrix, respectively.
For “matrix” a new copy of another matrix will be made.
Float value “degree” specifies the creation of a rotation matrix which rotates anticlockwise.
A “sequence” must be any Python sequence object with exactly 6 float entries (see Using Python Sequences as Arguments in PyMuPDF).
fitz.Matrix(1, 1), fitz.Matrix(0.0 and *fitz.Matrix(fitz.Identity) create modifiable versions of the Identity matrix, which looks like [1, 0, 0, 1, 0, 0].
 norm()#
New in version 1.16.0
Return the Euclidean norm of the matrix as a vector.
 prerotate(deg)#
Modify the matrix to perform a counterclockwise rotation for positive deg degrees, else clockwise. The matrix elements of an identity matrix will change in the following way:
[1, 0, 0, 1, 0, 0] > [cos(deg), sin(deg), sin(deg), cos(deg), 0, 0].
 Parameters:
deg (float) – The rotation angle in degrees (use conventional notation based on Pi = 180 degrees).
 prescale(sx, sy)#
Modify the matrix to scale by the zoom factors sx and sy. Has effects on attributes a thru d only: [a, b, c, d, e, f] > [a*sx, b*sx, c*sy, d*sy, e, f].
 Parameters:
sx (float) – Zoom factor in X direction. For the effect see description of attribute a.
sy (float) – Zoom factor in Y direction. For the effect see description of attribute d.
 preshear(sx, sy)#
Modify the matrix to perform a shearing, i.e. transformation of rectangles into parallelograms (rhomboids). Has effects on attributes a thru d only: [a, b, c, d, e, f] > [c*sy, d*sy, a*sx, b*sx, e, f].
 Parameters:
sx (float) – Shearing effect in X direction. See attribute c.
sy (float) – Shearing effect in Y direction. See attribute b.
 pretranslate(tx, ty)#
Modify the matrix to perform a shifting / translation operation along the x and / or y axis. Has effects on attributes e and f only: [a, b, c, d, e, f] > [a, b, c, d, tx*a + ty*c, tx*b + ty*d].
 Parameters:
tx (float) – Translation effect in X direction. See attribute e.
ty (float) – Translation effect in Y direction. See attribute f.
 concat(m1, m2)#
Calculate the matrix product m1 * m2 and store the result in the current matrix. Any of m1 or m2 may be the current matrix. Be aware that matrix multiplication is not commutative. So the sequence of m1, m2 is important.
 invert(m=None)#
Calculate the matrix inverse of m and store the result in the current matrix. Returns 1 if m is not invertible (“degenerate”). In this case the current matrix will not change. Returns 0 if m is invertible, and the current matrix is replaced with the inverted m.
 Parameters:
m (Matrix) – Matrix to be inverted. If not provided, the current matrix will be used.
 Return type:
int
 a#
Scaling in Xdirection (width). For example, a value of 0.5 performs a shrink of the width by a factor of 2. If a < 0, a leftright flip will (additionally) occur.
 Type:
float
 b#
Causes a shearing effect: each
Point(x, y)
will becomePoint(x, y  b*x)
. Therefore, horizontal lines will be “tilt”. Type:
float
 c#
Causes a shearing effect: each
Point(x, y)
will becomePoint(x  c*y, y)
. Therefore, vertical lines will be “tilt”. Type:
float
 d#
Scaling in Ydirection (height). For example, a value of 1.5 performs a stretch of the height by 50%. If d < 0, an updown flip will (additionally) occur.
 Type:
float
 e#
Causes a horizontal shift effect: Each Point(x, y) will become Point(x + e, y). Positive (negative) values of e will shift right (left).
 Type:
float
 f#
Causes a vertical shift effect: Each Point(x, y) will become Point(x, y  f). Positive (negative) values of f will shift down (up).
 Type:
float
 is_rectilinear#
Rectilinear means that no shearing is present and that any rotations are integer multiples of 90 degrees. Usually this is used to confirm that (axisaligned) rectangles before the transformation are still axisaligned rectangles afterwards.
 Type:
bool
Note
This class adheres to the Python sequence protocol, so components can be accessed via their index, too. Also refer to Using Python Sequences as Arguments in PyMuPDF.
Matrices can be used with arithmetic operators almost like ordinary numbers: they can be added, subtracted, multiplied or divided – see chapter Operator Algebra for Geometry Objects.
Matrix multiplication is not commutative – changing the sequence of the multiplicands will change the result in general. So it can quickly become unclear which result a transformation will yield.
Examples#
Here are examples that illustrate some of the achievable effects. All pictures show some text, inserted under control of some matrix and relative to a fixed reference point (the red dot).
The Identity matrix performs no operation.
The scaling matrix
Matrix(2, 0.5)
stretches by a factor of 2 in horizontal, and shrinks by factor 0.5 in vertical direction.
Attributes
Matrix.e
andMatrix.f
shift horizontally and, respectively vertically. In the following 10 to the right and 20 down.
A negative
Matrix.a
causes a leftright flip.
A negative
Matrix.d
causes an updown flip.
Attribute
Matrix.b
tilts upwards / downwards along the xaxis.
Attribute
Matrix.c
tilts left / right along the yaxis.
Matrix
Matrix(beta)
performs counterclockwise rotations for positive anglesbeta
.