- Ajuda do Scilab
- Biblioteca de Gráficos
- 2d_plot
- champ
- champ1
- champ_properties
- comet
- contour2d
- contour2di
- contour2dm
- contourf
- errbar
- fchamp
- fec
- fec properties
- fgrayplot
- fplot2d
- grayplot
- grayplot_properties
- graypolarplot
- histplot
- LineSpec
- Matplot
- Matplot1
- Matplot properties
- paramfplot2d
- plot
- plot2d
- plot2d2
- plot2d3
- plot2d4
- polarplot
- scatter
- Sfgrayplot
- Sgrayplot
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
Matplot properties
Description of the Matplot entities properties
Description
The Matplot
entity is a leaf of the graphics entities hierarchy. It
represents 2D plots of surface using colors and images (see
Matplot
and Matplot1
).
- parent
Graphic handle of the Matplot's parent, that should be of the type
"Axes"
.- children
vector of
children
of the Matplot object. By default, aMatplot
entity has nochild
, and.children
is[]
.- visible
"on"
(default) or"off"
. If"off"
, the Matplot patch is not displayed.- data
(m,n)
matrix or(m,n,nc)
hypermatrix of decimal, (u)int8, (u)int16, or (u)int32 numbers representing a matrix of (m,n) colors onnc = 1|3|4
channels to be plotted. The color encoding/decoding is set by theimage_type
property. The color associated todata(i,j,:)
is used do draw and fill a small rectangle of fixed sizes touching its neighboors and centered at the(i,j)
location.- rect
vector
[xmin, ymin, xmax, ymax]
defining a rectangle in data scales of the parent axes. The fulldata
matrix is scaled accordingly to fill therect
shape:- Its
m
rows cover the[ymin, ymax]
interval. - Its
n
columns cover the[xmin, xmax]
interval.
The
data(i,j)
pixel is drawn in the small rectangle bounded byX = xmin + [j-1, j]*(xmax-xmin)/n
andY = ymax - [i-1, i]*(ymax-ymin)/m
If one
rect
bound goes beyond the corresponding.parent.data_bounds(i)
axes bound, the overflowing side of thedata
matrix will be clipped, unless.clip_state
is set to"off"
.- Its
- image_type
this field defines the image type. It could be one of the values: "index", "gray", "rgb", "rgba", "argb", "red", "green", "blue", "rgb332", "rgb444", "rgb555", "rgb4444", "rgb5551".
Colors are determinated by the data type and by
image_type
:- "index"
data
are colors indices in the colormap.- "gray"
data
as a matrix of int8 or uint8 provides Gray level color (R-G-B=GRAY-GRAY-GRAY).- Otherwise,
data
is considered as RGB levels and converted into gray colors (0.299*R+0.587*G+0.114*B).
- "rgb"
data
as an hypermat of int8 or uint8 provides the RGB components ;data
as an hypermat of doubles provides normalized RGB components (values between 0 and 1) ;data
as a matrix of int8 or uint8 with a number of rows multiple of 3 provides the RGB components ;data
as a matrix of int32 provides RGB colors ;data
as a matrix of uint32 provides RGBA colors where the alpha channel will be set to 0xFF.
- "rgba"
data
as an hypermat of int8 or uint8 provides the RGBA components ;data
as an hypermat of doubles provides normalized RGBA components (values between 0 and 1) ;data
as a matrix of int8 or uint8 with a number of rows multiple of 4 provides the RGBA components ;data
as a matrix of int32 or uint32 provides RGBA colors.
- "argb"
data
as an hypermat of int8 or uint8 provides the ARGB components ;data
as an hypermat of doubles provides normalized ARGB components (values between 0 and 1) ;data
as a matrix of int8 or uint8 with a number of rows multiple of 4 provides the ARGB components ;data
as a matrix of int32 or uint32 provides ARGB colors.
- "red"
data
as a matrix of int8 or uint8 provides Red level color (R-G-B=RED-00-00).data
of another type is considered as RGB intensities. They are then converted into red levels (a mask is applied to keep the Red component).
- "green"
data
as a matrix of int8 or uint8 provides Green level color (R-G-B=00-GREEN-00).data
of another type is considered as RGB intensities. They are then converted into green levels (a mask is applied to keep the Green component).
- "blue"
data
as a matrix of int8 or uint8 provides Blue level color (R-G-B=00-00-BLUE) ;data
of another type is considered as RGB intensities. They are then converted into blue levels (a mask is applied to keep the Blue component).
- "rgb332"
data
as a matrix of int8 or uint8 provides RGB colors where R component is wrote on 3 bits, G component on 3 bits and B component on 2 bits.- For other
data
types, RGB (8-8-8) data are converted into RGB (3-3-2).
- "rgb444"
data
as a matrix of int16 or uint16 provides RGB colors where each components is wrote on 4 bits.- For other
data
types, RGB (8-8-8) data are converted into RGB (4-4-4).
- "rgb555"
data
as a matrix of int16 or uint16 provides RGB colors where each components is wrote on 5 bits.- For other
data
types, RGB (8-8-8) data are converted into RGB (5-5-5).
- "rgb4444"
data
as a matrix of int16 or uint16 provides RGBA colors where each components is wrote on 4 bits.- For other
data
types, RGBA (8-8-8-8) data are converted into RGBA (4-4-4-4).
- "rgb5551"
data
as a matrix of int16 or uint16 provides RGBA colors where each non-alpha components is wrote on 5 bits and the alpha component on 1 bit.- For other
data
types, RGBA (8-8-8-8) data are converted into RGBA (5-5-5-1).
- clip_state
Its value drives the clipping of the
Matplot
patch outside its parentAxes
box. Possible values are:"off"
: The Matplot patch is not clipped. Setting.clip_state = "off"
automatically resets.clip_box = []
."clipgrf"
: The Matplot patch is clipped outside its parent axes. Setting.clip_state = "clipgrf"
automatically resets.clip_box = []
."on"
: The Matplot patch is clipped outside the rectangle defined by theclip_box
property.
- clip_box
empty matrix
[]
(default) or[x,y,w,h]
(upper-left point width height) bounds (in data scales) of the rectangular area outside which the Matplot patch must be clipped. Setting.clip_box = [x y w h]
automatically sets.clip_state = "on"
.- user_data
this field can be use to store any scilab variable in the
Matplot
data structure, and to retrieve it.- tag
Single text that can be used as identifier/name of the Matplot object.
findobj("tag", tag_value)
will then return its full graphic handle.
Examples
See also
- Matplot — esboço 2d de uma matriz utilizando-se cores
- Matplot1 — Esboço 2d de matrizes utilizando cores
- grayplot — esboço 2d de uma superfície utilizando-se cores
- grayplot_properties — description of the grayplot entities properties
- xrects — desenha ou preenche um conjunto de retângulos
- graphics_entities — Descrição das estruturas de dados de entidades gráficas
History
Versão | Descrição |
5.5.0 |
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