tkinter simplified (and augmented) canvas
Project description
This package provides a supercanvas
widget based on the original
tkinter
canvas. It provides a quickly useable canvas with a
usual cartesian coordinate system.
As it remains a canvas, I've tried to keep canvas's items
behaviour. So options of items created are usual options and items
created return id (as a number) of the object so that you can
itemconfigure
it.
Note: tticks
tag is no more used, replaced by xlabel
and
ylabel
tags.
Full commands list
from supercanvas import *
supercanvas(rootname, **options)
options
could be ususal tkinter
options and boolean variables:
axes
, ticks
, xlabel
, ylabel
grid
, zero
and follow
.
These variables dis/enable features of supercanvas
.
supercanvas
setup methods:
.setOrigin(x, y)
.getOrigin()
.setViewX(x1, x2)
.setViewY(y1, y2)
.getView()
.setUnit(x, y)
.getUnit()
.setTicks(dx, dy)
.getTicks()
.setDim(scanvas_width, scanvas_height)
.getDim()
supercanvas
setup variables:
.axes # boolean
.ticks # boolean
.xlabel # boolean
.ylabel # boolean
.grid # boolean
.zero # boolean
.step # float or int: distance between successive argument values in drawFunction/Param
supercanvas
drawing methods:
.export() # save supercanvas in an eps file whose name is timestamped
.drawPoint(x, y, **options)
.drawLine(list, **options) # flat-list or list of tuples
.drawFunction(function, a, b, **options)
.drawParam(x-function, y_function, a, b, **options)
.drawSeq(function, 1st_term, final_rank, **options)
supercanvas
tags to identify objects: axes
, ticks
, xlabel
,
ylabel
grid
and zero
.
These tags enable you to configure objects tagged with the usual way:
For example:
.itemconfigure("axes", fill="red", dashed=(5, 2))
hsv_to_rgb(h, s, v)
is based on this SO code
beginmagicTk() # output to store
endMagicTk(name_of_previous_output)
Real documentation begins at this point
If you just want to have this supercanvas
alone with no other
widget, see magicTk
section at the end.
class object
>>> from supercanvas import *
Once package importation completed, you have to create a supercanvas the usual way.
r = tkinter.Tk()
c = supercanvas(r, bg="white", width=800, height=600)
origin and units
By default, origin is located at supercanvas
's center and units
are both 1 pixel (and axes are drawn in french style with
arrows). You can change this with setOrigin
and setUnit
methods:
c.setUnit(80, 100)
c.setOrigin(50, 200)
One new feature of 0.4 version is to introduce setViewX
and
setViewY
which allows you to forget about setUnit
and
setOrigin
. You use these two methods to indicate limits of your
drawing frame, that's so simple!
c.setViewX(-5, 5)
c.setViewY(-1.05, 3.1)
axes and ticks
By default, axes, ticks, tticks, grid ans zero are shown/drawn. If
you want them not to appear, you pass options axes
, ticks
,
xlabel
, ylabel
, grid
and zero
to False
in the
supercanvas
command.
Or you can these variables to False
into your script.
setTicks
method allow you to set distance between ticks.
c.axes = False
c.setTicks(1, .5)
supercanvas items
supercanvas
provides four drawing methods drawPoint
, drawLine
, drawFunction
, drawParam
and drawSeq
.
drawPoint
method creates a point at the desired coords.
f = lambda x:x**2
x = 3
c.drawPoint(x, f(x), fill="red", outline="red")
It's based on create_oval
so you can pass each option related to
Oval
object.
drawLine
method creates a line with a list of coords.
c.drawLine([(-2, 2), (-1, 0), (0, 3)], fill="blue", width=3)
drawLine
also supports a flat list of coords:
c.drawLine([-2, 2, -1, 0, 0, 3], fill="blue", width=3)
gives the same line.
drawFunction
method creates a line representing a function passed.
f = lambda x: 3 * x ** 2 + 2
c.drawLine(f, -2, 7, fill="green")
-2 and 7 are the lower and upper values of argumentt's function.
You can use step
method to specify difference between two
consecutive argguments, default is 1.
f = lambda x: 3 * x ** 1.2 + 2
c.step = .1
c.drawLine(f, -2, 7, fill="green")
drawParam
method creates a line representing a parametric curve.
this code creates a unit circle:
f = lambda x: math.cos(x)
g = lambda x: math.sin(x)
c.step = .01
c.drawParam(f, g, 0, 2 * math.pi)
drawSeq
method creates a broken line representing visual serach of a recursive sequence based on a function i.e. $ u_{n+1} = f(u_n)$.
Function and identity function do not need to be drawn but it visually helps to understand line construction.
f = lambda x: 1/(1+x)
c.step = .01
c.drawFunction(f, 0, 2)
c.drawSeq(f, 1, 5)
In the previsous example, $u_1=f(u_0)$ until we reach $u_5$. Construction stops when we just have to read $u_5$ on x-axis.
grab/release background
You can move the whole supercanvas
content in grabing /
releasing the background. It will refresh coords.
zooming
You can zoom the whole supercanvas
content with mousewheel.
supercanvas
options
axes
passing axes=False
to supercanvas
options disable axes, default
is True
. For the moment, you cannot change axes style...
ticks
passing ticks=False
to supercanvas
options disable ticks, default is True
.
xlabel
andylabel
passing xlabel=False
to supercanvas
options disable text labels
on x-axis, default is True
. Same thing for ylabel
grid
passing grid=False
to supercanvas
options disable the grid, default is True
.
zero
passing zero=False
to supercanvas
options disable zero apparition, default is True
.
follow
passing follow=False
to supercanvas
options disable cursor follow with coords, default is True
.
exporting
supercanvas
provides an export
method. At each call, this
creates an eps
(encapsulated postscript, so a vector graphics)
file which name is a timestamp, so successive exports are sorted.
Export images are in a exportImages
directory created on the
current directory if it doesn't exist.
create an animation for linux users
You can find an eps2png perl script by Johan Vromans.
It's a quite fast script. Once in the exportImages
directory, you
run it:
$ eps2png *.eps
It creates you png files with the same names. Then with convert command of ImageMagick, you run:
Note: It's better to pass -width
and -height
options to this
conversion command to respect initial size. Sometimes you will need also
to adapt antialiasing with -antialias
option (1, 2, 4 or 8).
$ convert -delay 10 *.png animation.gif
to output a gif with the delay specified between images.
See example 4 below for a full complete example.
full examples
- example 1
Points and functions using drawPoint
and drawLine
.
from supercanvas import *
import math
r = tkinter.Tk()
c = supercanvas(r, bg="white", width=800, height=600, ticks=False)
c.setUnit(100, 100)
f=lambda x:math.cos(x)
g=lambda x:math.sin(x)
p = .1
a, b = -3, 3
x = a
listePointsF = []
listePointsG = []
for i in range(int(1 + (b - a) / p)):
# creating points
c.drawPoint(x, f(x), fill="red", outline="red")
# two lists
# function f with tuples
listePointsF += (x, f(x))
# function g with flat list
listePointsG += [x]+[g(x)]
x += p
# drawings of the two curves
c.drawLine(listePointsF, fill="green")
c.drawLine(listePointsG, fill="blue", width=3)
# balancing canvas on the root
c.pack(expand=True)
# q to quit
r.bind("<q>", quit)
tkinter.mainloop()
- example 2
Function using drawFunction
.
from supercanvas import *
import math
r = tkinter.Tk()
c = supercanvas(r, bg="#00964a")
c.setOrigin(30, 150)
c.setUnit(10, 80)
f = lambda x: math.sin(x) / x
c.step=.1
c.drawFunction(f, c.step, 10*math.pi, width=3, fill="white")
c.pack()
r.bind("<q>", quit)
tkinter.mainloop()
- example 3
Cardioid curve using drawParam
from supercanvas import *
import math
r = tkinter.Tk()
c = supercanvas(r, bg="red", width=500, height=500)
c.setOrigin(100, 250)
c.setUnit(150, 150)
x = lambda t: 2 * (1 - t ** 2) / (1 + t ** 2) ** 2
y = lambda t: 4 * t / (1 + t ** 2) ** 2
c.step=.001
c.drawParam(x, y, -10, 10, width=3, fill="white")
c.pack()
r.bind("<q>", quit)
tkinter.mainloop()
- example 4
Lissajous animated curve with possibility to export.
from supercanvas import *
import math
w = beginMagicTk()
# canvas dimension
dim = 600
# offset: mid-with of the linewidth
offset = 25
#
c = supercanvas(w, bg="white", width=dim, height=dim,
axes=False, ticks=False)
c.pack(expand=True)
c.setUnit(dim/2 - offset, dim/2 - offset)
# steps between entry values
c.step = .005
# exploring to 10 with 50 values in-between
n = 10
steps = 50
#
for i in range(steps * n + 1):
j = i / steps
allerRetour = abs(n / 2 - j)
twoPi = 2 * math.pi
id = c.drawParam(lambda x: math.cos(allerRetour * x),
lambda x:math.sin((n / 2 - allerRetour) * x),
0, twoPi,
width=50, fill="black", smooth=1,
joinstyle="round", capstyle="round")
# update content
c.update()
# export image to directory
# next line to uncomment to export
# c.export()
# wait a little
w.after(10)
# delete actual curve from content
c.delete(id)
endMagicTk(w)
- example 5
Customizing axes and drawn elements
w = beginMagicTk()
dim = 600
c = supercanvas(w, bg="white", width=dim, height=dim,
axes=True,
ticks=True,
xlabel=False,
ylabel=False,
grid=True)
c.setUnit(100, 100)
c.itemconfigure("axes", fill="red", width=1)
c.itemconfigure("grid", fill="darkblue", dash=(5, 2, 1, 2))
c.itemconfigure("ticks", fill="blue", width=5)
c.step=.1
c.drawFunction(lambda x:.5 * x**2, -5, 5,
fill="darkgreen", dash=(5, 2), width=4)
endMagicTk(w)
magicTk
Because remembering tkinter
commands for just one widget is
awful, supercanvas
provides two commands beginMagicTk
and
endMagicTk
.
Key q
is bind to close/exit event.
Here's how to use them in a standalone example file:
from supercanvas import *
w = beginMagicTk()
c = supercanvas(w, bg="white")
c.setUnit(100, 20)
c.setTicks(.5, 2)
f = lambda x: x ** 3
c.step=.1
c.drawFunction(f, -3, 3)
endMagicTk(w)
Assign first command output, use it in supercanvas
and
endMagicTk
commands.
If you want to update
supercanvas content for animation for
example, you shouldn't use this since endMagicTk
contains the
command to show the canvas, so maybe too late for you.
further
Much much more!
about
supercanvas is rather an attempt to publish on the PyPi
packages
index than a fully completed python project, I do not recommend
supercanvas usage for professionnal use. You have to consider this
package as an experiment.
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