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        "author": "Massimo DiPierro",
        "author_email": "massimo.dipierro@gmail.com",
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        "description": "## Canvas - a quick and dirty interface to matplotlib\n\nI do not know about you but I find matplotlib fanatstic but overwhelming. I can never remember its syntax, yet I find myself often repeating the same boilerplate code.\n\nThis simple library is not meant to be general but it allows me to produce the quick and dirty plots I often need.\n\n`canvas.py` exposes a single object, `Canvas`, which has methods `plot`,`hist`,`errorbar`,`ellipses`,`imshow`, and `save`. These methods can be chained to overlap diffent types of plots. For example:\n\n    >>> from random import gauss\n    >>> from math import sin, cos\n    >>> from canvas import Canvas\n\n    >>> gaussian = [gauss(0,1) for i in range(1000)]\n    >>> Canvas('My First Image').hist(gaussian).save('img1.png')\n\nhist data is an array of numbers.\n[output](https://github.com/mdipierro/canvas/blob/master/screenshots/img1.png)\n\n    >>> spiral = [(x*cos(0.1*x),x*sin(0.1*x)) for x in range(0,300)]\n    >>> Canvas('My Second Image').plot(spiral).save('img2.png')\n\nplot data is an array of 2-tuples, (x,y).\n[output](https://github.com/mdipierro/canvas/blob/master/screenshots/img2.png)\n\n    >>> points = [(x,x+gauss(0,1),0.5) for x in range(20)]\n    >>> Canvas('My Third Image').errorbar(points).plot(points).save('img3.png')\n\nerrorbar data is an array of 3-tuples, (x,y,dy). In the example above the plot is superimposed to errorbars. [output](https://github.com/mdipierro/canvas/blob/master/screenshots/img3.png)\n\n    >>> blobs = [(gauss(0,1),gauss(0,1),0.05,0.05) for i in range(100)]\n    >>> Canvas('My Fourth Image').ellipses(blobs).save('img4.png')\n\nellipses data is an array of 4-tuples, (x,y,dx,dy).\n[output](https://github.com/mdipierro/canvas/blob/master/screenshots/img4.png)\n\n    >>> waves = [[sin(0.1*x)*cos(0.1*x*y) for x in range(20)] for y in range(20)]\n    >>> Canvas('My Fifth Image').imshow(waves).save('img5.png')\n\nimshow data is a square  2D array of numbers.\n[output](https://github.com/mdipierro/canvas/blob/master/screenshots/img5.png)\n\nThe names of the methods of the canvas objects are the same as the methods of the corresponding matplotlib axis object.\n\n### Django example\n\n    def my_image(request):\n        data = [gauss(0,1) for i in range(1000)]\n        image_data = Canvas('title').hist(data).binary()\n        return HttpResponse(image_data, mimetype=\"image/png\")\n\n### web2py example\n\n    def my_image():\n        data = [gauss(0,1) for i in range(1000)]\n        response.headers['Content-type'] = 'image/png'\n        return Canvas('title').hist(data).binary()\n\n### Flask example\n\n    @app.route('/my_image')\n    def my_image():\n        data = [gauss(0,1) for i in range(1000)]\n        image_data = Canvas('title').hist(data).binary()\n        response.headers['Content-type'] = 'image/png'\n        return Response(image_data)\n\n## Arguments\n\nHere is the full signature:\n\n    class Canvas(object):\n         def __init__(self,title='title',xlab='x',ylab='y',xrange=None,yrange=None): ...\n         def save(self,filename='plot.png'): ...\n         def hist(self,data,bins=20,color='blue',legend=None): ...\n         def plot(self,data,color='blue',style='-',width=2,legend=None): ...\n         def errorbar(self,data,color='black',marker='o',width=2,legend=None): ...\n         def ellipses(self,data,color='blue',width=0.01,height=0.01): ...\n         def imshow(self,data,interpolation='bilinear'): ...\n\n## Installation\n\nYou'll need numpy and matplotlib.\n\nFrom source:\n\n    python setup.py install\n\nIf you want to install the dependancies using pip you need to process this way:\n\n    pip install numpy\n    # THEN\n    pip install matplotlib\n\nBe **sure** to have numpy installed before installing matplotlib otherwise the installation will fail.\n\n## License\n\n3-clause BSD license",
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