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@manujeevanprakash
Created November 1, 2014 05:33
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Basics of Matplot lib part 3
{
"metadata": {
"name": "",
"signature": "sha256:a6e76def9862b0c17e9ce53a8b2cb41db19b66c0f2f6fc4cf4cf96d8c55210d5"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Annotation"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"X =np.linspace(-6,6, 1024)\n",
"Y =np.sinc(X)\n",
"plt.title('A simple marker exercise')# a title notation\n",
"plt.xlabel('array variables') # adding xlabel\n",
"plt.ylabel(' random variables') # adding ylabel\n",
"plt.text(-5, 0.4, 'Matplotlib') # -5 is the x value and 0.4 is y value\n",
"plt.plot(X,Y, color ='r', marker ='o', markersize =9, markevery = 30, markerfacecolor='w', linewidth = 3.0, markeredgecolor = 'b')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 28,
"text": [
"[<matplotlib.lines.Line2D at 0x84b6430>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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EcIa1PaJzZ+/yUVVSkhBxZCdITAF6A68CKcAIoB8wuoZpqyocOwC4Azgz0gHj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\nAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f82650>"
]
}
],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def pq(I, mu, sigma):\n",
" a = 1. / (sigma * np.sqrt(2. * np.pi))\n",
" b = -1. / (2. * sigma ** 2)\n",
" return a * np.exp(b * (I - mu) ** 2)\n",
"\n",
"I =np.linspace(-6,6, 1024)\n",
"\n",
"plt.plot(I, pq(I, 0., 1.), color = 'k', linestyle ='solid')\n",
"plt.plot(I, pq(I, 0., .5), color = 'k', linestyle ='dashed')\n",
"plt.plot(I, pq(I, 0., .25), color = 'k', linestyle ='dashdot')\n",
"\n",
"# I have created a dictinary of styles\n",
"design = {\n",
"'facecolor' : 'y', # color used for the text box\n",
"'edgecolor' : 'g', \n",
"'boxstyle' : 'round' \n",
"}\n",
"plt.text(-4, 1.5, 'Matplot Lib', bbox = design)\n",
"plt.plot(X, Y, c='k')\n",
"plt.show()\n",
"\n",
"#This sets the style of the box, which can either be 'round' or 'square'\n",
"#'pad': If 'boxstyle' is set to 'square', it defines the amount of padding between the text and the box's sides"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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uGCVeYbkk0Quz2bt3Lx06dCA5OZmYmBiGDRtW5mNnz55N3759iYqKKlOiN4eA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\n",
"text": [
"<matplotlib.figure.Figure at 0x855e790>"
]
}
],
"prompt_number": 39
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Alignment Control\n",
"The text is bound by a box. This box is used to relatively align the text to the coordinates passed to pyplot.text(). Using the verticalalignment and horizontalalignment parameters (respective shortcut equivalents are va and ha), we can control how the alignment is done.\n",
"\n",
"<b>The vertical alignment options are as follows:<br></b>\n",
"'center': This is relative to the center of the textbox<br>\n",
"'top': This is relative to the upper side of the textbox<br>\n",
"'bottom': This is relative to the lower side of the textbox<br>\n",
"'baseline': This is relative to the text's baseline<br>\n",
"\n",
"<b>Horizontal alignment options are as follows:\n",
"\n",
"\n",
"align ='bottom' &nbsp;&nbsp;&nbsp;\n",
"&nbsp;&nbsp;&nbsp; &nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;\n",
"align ='baseline'<br>\n",
"------------------------align = center-------------------------------------- <br>\n",
" align= 'top<br>\n",
" \n",
" "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cd C:\\Users\\tk\\Desktop"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"C:\\Users\\tk\\Desktop\n"
]
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import Image\n",
"Image(filename='text alignment.png')\n",
"#The horizontal alignment options are as follows:\n",
"#'center': This is relative to the center of the textbox\n",
"#'left': This is relative to the left side of the textbox\n",
"#'right': This is relative to the right-hand side of the textbox"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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"prompt_number": 44,
"text": [
"<IPython.core.display.Image at 0x8492310>"
]
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"X = np.linspace(-4, 4, 1024)\n",
"Y = .25 * (X + 4.) * (X + 1.) * (X - 2.)\n",
"\n",
"plt.annotate('Big Data', \n",
"ha ='center', va ='bottom',\n",
"xytext =(-1.5, 3.0), xy =(0.75, -2.7), \n",
"arrowprops ={'facecolor': 'green', 'shrink':0.05, 'edgecolor': 'black'}) #arrow properties\n",
"plt.plot(X, Y)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 76,
"text": [
"[<matplotlib.lines.Line2D at 0x9d1def0>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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CCdDL1q2zWbOVK8O772rJZ6ephCJFSqlStgXfDz/YRszbttm2b7feauUWb7cT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\n/wfBIlLaNOa3PwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x9d1df10>"
]
}
],
"prompt_number": 76
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#arrow styles are :\n",
"\n",
"from IPython.display import Image\n",
"Image(filename='arrows.png')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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r165dsCUxnCu3JWyZ55frr79+Nytz8ODBZlV6YeVHCWF67LHHbD2n94PV6enc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\n",
"prompt_number": 74,
"text": [
"<IPython.core.display.Image at 0x8706c90>"
]
}
],
"prompt_number": 74
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<b>Legend properties: </b><br>\n",
"'loc': This is the location of the legend. The default value is 'best', which will place it automatically. Other valid values are<br> 'upper left', 'lower left', 'lower right', 'right', 'center left', 'center right', 'lower center', 'upper center', and 'center'.<br>\n",
"\n",
"'shadow': This can be either True or False, and it renders the legend with a shadow effect.<br>\n",
"\n",
"'fancybox': This can be either True or False and renders the legend with a rounded box.<br>\n",
"\n",
"'title': This renders the legend with the title passed as a parameter.<br>\n",
"\n",
"'ncol': This forces the passed value to be the number of columns for the legend<br>"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x =np.linspace(0, 6,1024)\n",
"y1 =np.sin(x)\n",
"y2 =np.cos(x)\n",
"plt.xlabel('Sin Wave')\n",
"plt.ylabel('Cos Wave')\n",
"plt.plot(x, y1, c='b', lw =3.0, label ='Sin(x)') # labels are specified\n",
"plt.plot(x, y2, c ='r', lw =3.0, ls ='--', label ='Cos(x)')\n",
"plt.legend(loc ='best', shadow = True, fancybox = False, title ='Waves', ncol =1) # displays the labels\n",
"plt.grid(True, lw = 2, ls ='--', c='.75') # adds grid lines to the figure\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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mqn4gtZz03cAZYAawCBgInLfKQOAm4N8k/f8QR5TWPjdzvZNIFFJLqlmV0peb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\nFEVRFEVRFEVRFEVRFEVRFEVRlMzwf/un0Di4MihgAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x996dff0>"
]
}
],
"prompt_number": 101
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Shapes"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Paths for several kinds of shapes are available in the matplotlib.patches module\n",
"import matplotlib.patches as patches\n",
"\n",
"dis = patches.Circle((0,0), radius = 1.0, color ='.75' )\n",
"plt.gca().add_patch(dis) # used to render the image.\n",
"\n",
"dis = patches.Rectangle((2.5, -.5), 2.0, 1.0, color ='.75') #patches.rectangle((x & y coordinates), length, breadth)\n",
"plt.gca().add_patch(dis)\n",
"\n",
"dis = patches.Ellipse((0, -2.0), 2.0, 1.0, angle =45, color ='.00')\n",
"plt.gca().add_patch(dis)\n",
"\n",
"dis = patches.FancyBboxPatch((2.5, -2.5), 2.0, 1.0, boxstyle ='roundtooth', color ='g')\n",
"plt.gca().add_patch(dis)\n",
"\n",
"plt.grid(True)\n",
"plt.axis('scaled') # displays the images within the prescribed axis\n",
"plt.show()\n",
"\n",
"#FancyBox: This is like a rectangle but takes an additional boxstyle parameter \n",
"#(either 'larrow', 'rarrow', 'round', 'round4', 'roundtooth', 'sawtooth', or 'square')\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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v0DYEyz4rgUJgNfABYLjP2JeWljJy5Ej+9a9/JeRGIHrj8/lIT0+Pen+p0Ufm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\nTicul4tf//rX7Nq1S+4EJYR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"text": [
"<matplotlib.figure.Figure at 0x5610030>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib.patches as patches\n",
"theta = np.linspace(0, 2 * np.pi, 8) # generates an array\n",
"vertical = np.vstack((np.cos(theta), np.sin(theta))).transpose() # vertical stack clubs the two arrays. \n",
"#print vertical, print and see how the array looks\n",
"plt.gca().add_patch(patches.Polygon(vertical, color ='y'))\n",
"plt.axis('scaled')\n",
"plt.grid(True)\n",
"plt.show()\n",
"\n",
"#The matplotlib.patches.Polygon()constructor takes a list of coordinates as the inputs, that is, the vertices of the polygon"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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PoWkaVVUPcOmlPyMUquB8pzcUKkfXywiFKkgkbmD27Ie5/PJXueaakyxd2sLc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\nAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x5612830>"
]
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# a polygon can be imbided into a circle\n",
"theta = np.linspace(0, 2 * np.pi, 6) # generates an array\n",
"vertical = np.vstack((np.cos(theta), np.sin(theta))).transpose() # vertical stack clubs the two arrays. \n",
"#print vertical, print and see how the array looks\n",
"plt.gca().add_patch(plt.Circle((0,0), radius =1.0, color ='b'))\n",
"plt.gca().add_patch(plt.Polygon(vertical, fill =None, lw =4.0, ls ='dashed', edgecolor ='w'))\n",
"plt.axis('scaled')\n",
"plt.grid(True)\n",
"plt.show()\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x55b3050>"
]
}
],
"prompt_number": 34
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Ticks in Matplotlib"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#In matplotlib, ticks are small marks on both the axes of a figure\n",
"import matplotlib.ticker as ticker\n",
"X = np.linspace(-12, 12, 1024)\n",
"Y = .25 * (X + 4.) * (X + 1.) * (X - 2.)\n",
"pl =plt.axes() #the object that manages the axes of a figure\n",
"pl.xaxis.set_major_locator(ticker.MultipleLocator(5))\n",
"pl.xaxis.set_minor_locator(ticker.MultipleLocator(1))\n",
"plt.plot(X, Y, c = 'y')\n",
"plt.grid(True, which ='major') # which can take three values: minor, major and both\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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gfuCbp637OPA00A5UAOXA+cA4YDjwtve4J4BPRPnzA6mhocF0CHFjc26g/ILO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\nQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x5606930>"
]
}
],
"prompt_number": 54
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"name_list = ('Omar', 'Serguey', 'Max', 'Zhou', 'Abidin')\n",
"value_list = np.random.randint(0, 99, size = len(name_list))\n",
"pos_list = np.arange(len(name_list))\n",
"ax = plt.axes()\n",
"ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list)))\n",
"ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list)))\n",
"plt.bar(pos_list, value_list, color = '.75',align = 'center')\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x56afb90>"
]
}
],
"prompt_number": 59
}
],
"metadata": {}
}
]
}
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