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        "author": "David COBAC",
        "author_email": "david.cobac@gmail.com",
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        "description": "This package provides a `supercanvas` widget based on the original\n`tkinter` canvas.  It provides a quickly useable canvas with a\nusual cartesian coordinate system.\n\nAs it remains a canvas, I've tried to keep canvas's items\nbehaviour. So options of items created are usual options and items\ncreated return id (as a number) of the object so that you can\n`itemconfigure` it.\n\nNote: `tticks` tag is no more used, replaced by `xlabel` and\n`ylabel` tags.\n\n\n# Full commands list\n\n``` python3\nfrom supercanvas import *\n\n```\n\n\n``` python3\n\nsupercanvas(rootname, **options)\n\n```\n\n`options` could be ususal `tkinter` options and boolean variables:\n`axes`, `ticks`, `xlabel`, `ylabel` `grid`, `zero` and `follow`.\n\nThese variables dis/enable features of `supercanvas`.\n\n\n`supercanvas` setup methods:\n\n``` python3\n\n.setOrigin(x, y)\n.getOrigin()\n\n.setViewX(x1, x2)\n.setViewY(y1, y2)\n.getView()\n\n.setUnit(x, y)\n.getUnit()\n\n.setTicks(dx, dy)\n.getTicks()\n\n.setDim(scanvas_width, scanvas_height)\n.getDim()\n\n```\n\n`supercanvas` setup variables:\n\n``` python3\n\n.axes   # boolean\n.ticks  # boolean\n.xlabel # boolean\n.ylabel # boolean\n.grid   # boolean\n.zero   # boolean\n\n.step   # float or int: distance between successive argument values in drawFunction/Param\n\n```\n\n\n`supercanvas` drawing methods:\n\n\n``` python3\n\n.export()       # save supercanvas in an eps file whose name is timestamped\n\n.drawPoint(x, y, **options)\n.drawLine(list, **options)        # flat-list or list of tuples\n.drawFunction(function, a, b, **options)\n.drawParam(x-function, y_function, a, b, **options)\n.drawSeq(function, 1st_term, final_rank, **options)\n\n```\n\n`supercanvas` tags to identify objects: `axes`, `ticks`, `xlabel`,\n`ylabel` `grid` and `zero`.\n\nThese tags enable you to configure objects tagged with the usual way:\n\nFor example:\n\n``` python3\n\n.itemconfigure(\"axes\", fill=\"red\", dashed=(5, 2))\n\n\n```\n\n\n\n`hsv_to_rgb(h, s, v)` is based on [this SO code](https://stackoverflow.com/questions/24852345/hsv-to-rgb-color-conversion)\n\n\n``` python3\n\nbeginmagicTk() # output to store\nendMagicTk(name_of_previous_output)\n\n```\n\n\n\n### Real documentation begins at this point\n\nIf you just want to have this `supercanvas` alone with no other\nwidget, see `magicTk` section at the end.\n\n### class object\n\n``` python3\n\n>>> from supercanvas import *\n\n```\n\nOnce package importation completed, you have to create a\nsupercanvas the usual way.\n\n``` python3\n\nr = tkinter.Tk()\nc = supercanvas(r, bg=\"white\", width=800, height=600)\n\n```\n\n\n### origin and units\n\nBy default, origin is located at `supercanvas`'s center and units\nare both 1 pixel (and axes are drawn in french style with\narrows). You can change this with `setOrigin` and `setUnit`\nmethods:\n\n\n``` python3\n\nc.setUnit(80, 100)\nc.setOrigin(50, 200)\n\n```\n\nOne new feature of 0.4 version is to introduce `setViewX` and\n`setViewY` which allows you to forget about `setUnit` and\n`setOrigin`. You use these two methods to indicate limits of your\ndrawing frame, that's so simple!\n\n``` python3\n\nc.setViewX(-5, 5)\nc.setViewY(-1.05, 3.1)\n\n```\n\n\n### axes and ticks\n\nBy default, axes, ticks, tticks, grid ans zero are shown/drawn. If\nyou want them not to appear, you pass options `axes`, `ticks`,\n`xlabel`, `ylabel`, `grid` and `zero` to `False` in the\n`supercanvas` command.\n\nOr you can these variables to `False` into your script. \n\n\n`setTicks` method allow you to set distance between ticks.\n\n\n``` python3\n\nc.axes = False\nc.setTicks(1, .5)\n\n```\n\n\n### supercanvas items\n\n`supercanvas` provides four drawing methods `drawPoint`, `drawLine`, `drawFunction`, `drawParam` and `drawSeq`.\n\n\n* `drawPoint` method creates a point at the desired coords.\n\n``` python3\n\nf = lambda x:x**2\nx = 3\nc.drawPoint(x, f(x), fill=\"red\", outline=\"red\")\n\n```\n\nIt's based on `create_oval` so you can pass each option related to\n`Oval` object.\n\n* `drawLine` method creates a line with a list of coords.\n\n``` python3\n\nc.drawLine([(-2, 2), (-1, 0), (0, 3)], fill=\"blue\", width=3)\n\n```\n\n`drawLine` also supports a flat list of coords:\n\n``` python3\n\nc.drawLine([-2, 2, -1, 0, 0, 3], fill=\"blue\", width=3)\n\n```\n\ngives the same line.\n\n\n* `drawFunction` method creates a line representing a function passed.\n\n\n``` python3\n\nf = lambda x: 3 * x ** 2 + 2 \nc.drawLine(f, -2, 7, fill=\"green\")\n\n```\n\n-2 and 7 are the lower and upper values of argumentt's function.\n\nYou can use `step` method to specify difference between two\nconsecutive argguments, default is 1.\n\n\n``` python3\n\nf = lambda x: 3 * x ** 1.2 + 2\nc.step = .1\nc.drawLine(f, -2, 7, fill=\"green\")\n\n```\n\n\n*  `drawParam` method creates a line representing a parametric curve.\n\n\nthis code creates a unit circle:\n\n\n``` python3\n\nf = lambda x: math.cos(x)\ng = lambda x: math.sin(x)\nc.step = .01\nc.drawParam(f, g, 0, 2 * math.pi)\n\n```\n\n* `drawSeq` method creates a broken line representing visual serach\n  of a recursive sequence based on a function i.e. \\$ u_{n+1} =\n  f(u_n)\\$.\n\n\nFunction and identity function do not need to be drawn but it\nvisually helps to understand line construction.\n\n\n``` python3\n\nf = lambda x: 1/(1+x)\nc.step = .01\nc.drawFunction(f, 0, 2)\nc.drawSeq(f, 1, 5)\n\n```\n\nIn the previsous example, \\$u_1=f(u_0)\\$ until we reach\n\\$u_5\\$. Construction stops when we just have to read \\$u_5\\$ on\nx-axis.\n\n\n### grab/release background\n\nYou can move the whole `supercanvas` content in grabing /\nreleasing the background. It will refresh coords.\n\n### zooming\n\nYou can zoom the whole `supercanvas` content with mousewheel.\n\n### `supercanvas` options\n\n* `axes`\n\npassing `axes=False` to `supercanvas` options disable axes, default\nis `True`. For the moment, you cannot change axes style...\n\n* `ticks`\n\npassing `ticks=False` to `supercanvas` options disable ticks, default is `True`.\n\n* `xlabel` and `ylabel`\n\npassing `xlabel=False` to `supercanvas` options disable text labels\non x-axis, default is `True`. Same thing for `ylabel`\n\n* `grid`\n\npassing `grid=False` to `supercanvas` options disable the grid, default is `True`.\n\n* `zero`\n\npassing `zero=False` to `supercanvas` options disable zero apparition, default is `True`.\n\n* `follow`\n\npassing `follow=False` to `supercanvas` options disable cursor follow with coords, default is `True`.\n\n### exporting\n\n`supercanvas` provides an `export` method. At each call, this\ncreates an `eps` (encapsulated postscript, so a vector graphics)\nfile which name is a timestamp, so successive exports are sorted.\n\nExport images are in a `exportImages` directory created on the\ncurrent directory if it doesn't exist.\n\n\n### create an animation for linux users\n\nYou can find an [eps2png perl script](https://metacpan.org/source/JV/eps2png-2.7/src/eps2png.pl) by Johan Vromans.\n\nIt's a quite fast script. Once in the `exportImages` directory, you\nrun it:\n\n``` bash\n\n$ eps2png *.eps\n\n```\n\nIt creates you png files with the same names. Then with [convert command of ImageMagick](https://imagemagick.org/script/convert.php), you run:\n\n\nNote: It's better to pass `-width` and `-height` options to this\nconversion command to respect initial size. Sometimes you will need also\nto adapt antialiasing with `-antialias` option (1, 2, 4 or 8).\n\n\n``` bash\n\n$ convert -delay 10 *.png animation.gif\n\n```\n\nto output a gif with the delay specified between images.\n\nSee example 4 below for a full complete example.\n\n\n### full examples\n\n* example 1\n\nPoints and functions using `drawPoint` and `drawLine`.\n\n\n``` python3\n\nfrom supercanvas import *\nimport math\nr = tkinter.Tk()\n\nc = supercanvas(r, bg=\"white\", width=800, height=600, ticks=False)\nc.setUnit(100, 100)\n\nf=lambda x:math.cos(x)\ng=lambda x:math.sin(x)\n\np = .1\na, b = -3, 3\nx = a\nlistePointsF = []\nlistePointsG = []\nfor i in range(int(1 + (b - a) / p)):\n    # creating points \n    c.drawPoint(x, f(x), fill=\"red\", outline=\"red\")\n    # two lists\n    # function f with tuples\n    listePointsF += (x, f(x))\n    # function g with flat list\n    listePointsG += [x]+[g(x)]\n    x += p\n\n# drawings of the two curves\nc.drawLine(listePointsF, fill=\"green\")\nc.drawLine(listePointsG, fill=\"blue\", width=3)\n\n# balancing canvas on the root\nc.pack(expand=True)\n\n# q to quit\nr.bind(\"<q>\", quit)\ntkinter.mainloop()\n\n```\n\n\n* example 2\n\nFunction using `drawFunction`.\n\n``` python3\n\nfrom supercanvas import *\nimport math\nr = tkinter.Tk()\n\nc = supercanvas(r, bg=\"#00964a\")\nc.setOrigin(30, 150)\nc.setUnit(10, 80)\n\nf = lambda x: math.sin(x) / x\nc.step=.1\nc.drawFunction(f, c.step, 10*math.pi, width=3, fill=\"white\")\n\nc.pack()\nr.bind(\"<q>\", quit)\ntkinter.mainloop()\n\n```\n\n* example 3\n\nCardioid curve using `drawParam`\n\n``` python3\n\nfrom supercanvas import *\nimport math\nr = tkinter.Tk()\n\nc = supercanvas(r, bg=\"red\", width=500, height=500)\nc.setOrigin(100, 250)\nc.setUnit(150, 150)\n\nx = lambda t: 2 * (1 - t ** 2) / (1 + t ** 2) ** 2\ny = lambda t: 4 * t / (1 + t ** 2) ** 2\nc.step=.001\nc.drawParam(x, y, -10, 10, width=3, fill=\"white\")\n\nc.pack()\nr.bind(\"<q>\", quit)\ntkinter.mainloop()\n\n\n```\n\n\n* example 4\n\nLissajous animated curve with possibility to export.\n\n\n``` python3\n\nfrom supercanvas import *\n\nimport math\nw = beginMagicTk()\n# canvas dimension\ndim = 600\n# offset: mid-with of the linewidth\noffset = 25\n#\nc = supercanvas(w, bg=\"white\", width=dim, height=dim,\n                axes=False, ticks=False)\nc.pack(expand=True)\nc.setUnit(dim/2 - offset, dim/2 - offset)\n\n# steps between entry values\nc.step = .005\n# exploring to 10 with 50 values in-between\nn = 10\nsteps = 50\n#\nfor i in range(steps * n + 1):\n    j = i / steps\n    allerRetour = abs(n / 2 - j)\n    twoPi = 2 * math.pi\n    id = c.drawParam(lambda x: math.cos(allerRetour * x),\n                     lambda x:math.sin((n / 2 - allerRetour) * x),\n                     0, twoPi,\n                     width=50, fill=\"black\", smooth=1,\n                     joinstyle=\"round\", capstyle=\"round\")\n    # update content\n    c.update()\n    # export image to directory\n    # next line to uncomment to export\n    # c.export()\n    # wait a little\n    w.after(10)\n    # delete actual curve from content\n    c.delete(id)\n\nendMagicTk(w)\n\n\n```\n\n* example 5\n\nCustomizing axes and drawn elements \n\n\n``` python3\n\nw = beginMagicTk()\ndim = 600\nc = supercanvas(w, bg=\"white\", width=dim, height=dim,\n                axes=True,\n                ticks=True,\n                xlabel=False,\n                ylabel=False,\n                grid=True)\nc.setUnit(100, 100)\nc.itemconfigure(\"axes\", fill=\"red\", width=1)\nc.itemconfigure(\"grid\", fill=\"darkblue\", dash=(5, 2, 1, 2))\nc.itemconfigure(\"ticks\", fill=\"blue\", width=5)\nc.step=.1\nc.drawFunction(lambda x:.5 * x**2, -5, 5,\n               fill=\"darkgreen\", dash=(5, 2), width=4)\n\nendMagicTk(w)\n\n```\n\n### magicTk\n\nBecause remembering `tkinter` commands for just one widget is\nawful, `supercanvas` provides two commands `beginMagicTk` and\n`endMagicTk`.\n\nKey `q` is bind to close/exit event.\n\nHere's how to use them in a standalone example file:\n\n``` python3\n\nfrom supercanvas import *\nw = beginMagicTk()\n\nc = supercanvas(w, bg=\"white\")\nc.setUnit(100, 20)\nc.setTicks(.5, 2)\n\nf = lambda x: x ** 3\nc.step=.1\nc.drawFunction(f, -3, 3)\n\nendMagicTk(w)\n\n```\n\nAssign first command output, use it in `supercanvas` and\n`endMagicTk` commands.\n\nIf you want to `update` supercanvas content for animation for\nexample, you shouldn't use this since `endMagicTk` contains the\ncommand to show the canvas, so maybe too late for you.\n\n\n### further\n\nMuch much more!\n\n\n### about\n\nsupercanvas is rather an attempt to publish on the `PyPi` packages\nindex than a fully completed python project, I do not recommend\nsupercanvas usage for professionnal use. 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