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@manujeevanprakash
Created November 1, 2014 05:32
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Basics of Matplot lib part 2
{
"metadata": {
"name": "",
"signature": "sha256:7d9ec23362cac10e1a3d726a2c24266b51002802ed9e6b492f5366b5c0f199d7"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"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": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"p =np.random.standard_normal((50,2))\n",
"p += np.array((-1,1)) # center the distribution at (-1,1)\n",
"\n",
"q =np.random.standard_normal((50,2))\n",
"q += np.array((1,1)) #center the distribution at (-1,1)\n",
"\n",
"\n",
"plt.scatter(p[:,0], p[:,1], color ='.25')\n",
"plt.scatter(q[:,0], q[:,1], color = '.75')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 22,
"text": [
"<matplotlib.collections.PathCollection at 0x71dab90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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zKS4uZvr06f1+AKalpVFQUMD48eOHnWz7m5Elibt/cRnE7Jswy8rKKCsri8dp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\nrkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x6c0c830>"
]
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dd =np.random.standard_normal((50,2))\n",
"plt.scatter(dd[:,0], dd[:,1], color ='1.0', edgecolor ='0.0') # edge color controls the color of the edge"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 34,
"text": [
"<matplotlib.collections.PathCollection at 0x7336670>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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IiAh++OEHWrZsybZt26hdu7bd8S5jjPmtsFhu2rRpxMXFMWvWLMA5xHPjjTeS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\nIiIiIiIiIiIiIiIiIvw/FVTFFF+n81AAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x6f217b0>"
]
}
],
"prompt_number": 34
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<b> <font size ='5'>Custom Color for Bar charts,Pie charts and box plots: </font></b> <br>\n",
"The below bar graph, plots x(1 to 50) (vs) y(50 random integers, within 0-100. But you need different colors for each value. \n",
"For which we create a list containing four colors(color_set). The list comprehension creates 50 different color values from color_set"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"vals = np.random.random_integers(99, size =50)\n",
"color_set = ['.00', '.25', '.50','.75']\n",
"color_lists = [color_set[(len(color_set)* val) // 100] for val in vals]\n",
"c = plt.bar(np.arange(50), vals, color = color_lists)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAEACAYAAAC57G0KAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x59dafd0>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"hi =np.random.random_integers(8, size =10)\n",
"color_set =['.00', '.25', '.50', '.75']\n",
"plt.pie(hi, colors = color_set)# colors attribute accepts a range of values\n",
"plt.show()\n",
"#If there are less colors than values, then pyplot.pie() will simply cycle through the color list. In the preceding \n",
"#example, we gave a list of four colors to color a pie chart that consisted of eight values. Thus, each color will be used twice"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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hMDg4iObmZkxMTHCfz6du2bJFHD16FIcOHWJVVVXXXTMbT62trWv9UEUIgXPn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\nRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x5a82e70>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"values = np.random.randn(100)\n",
"w = plt.boxplot(values)\n",
"for att, lines in w.iteritems():\n",
" for l in lines:\n",
" l.set_color('k')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEACAYAAAB4ayemAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nfb3DAQAAAAAAAAAAAAAAAGCu/wMDF6iY1vORcgAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x5a6acf0>"
]
}
],
"prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Color Maps"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"know more about [hsv](http://radio.feld.cvut.cz/matlab/toolbox/images/color10.html)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# how to color scatter plots\n",
"#Colormaps are defined in the matplotib.cm module. This module provides \n",
"#functions to create and use colormaps. It also provides an exhaustive choice of predefined color maps.\n",
"import matplotlib.cm as cm\n",
"N = 256\n",
"angle = np.linspace(0, 8 * 2 * np.pi, N)\n",
"radius = np.linspace(.5, 1., N)\n",
"X = radius * np.cos(angle)\n",
"Y = radius * np.sin(angle)\n",
"plt.scatter(X,Y, c=angle, cmap = cm.hsv)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 34,
"text": [
"<matplotlib.collections.PathCollection at 0x714d9f0>"
]
},
{
"metadata": {},
"output_type": "display_data",
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kpZkAqxrmnSy8IFeWe6vpBBwcHCAzGoCr581PxD2F4ep5eHt7Iy0ta1MbW1hYYOWSRYg4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\nlFJKKaWUUkoppZRSKnj8HY4JdbGcRyGOAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x5efbf10>"
]
}
],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Color in bar graphs\n",
"import matplotlib.cm as cm\n",
"vals = np.random.random_integers(99, size =50)\n",
"cmap = cm.ScalarMappable(col.Normalize(0,99), cm.binary)\n",
"plt.bar(np.arange(len(vals)),vals, color =cmap.to_rgba(vals))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 44,
"text": [
"<Container object of 50 artists>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x70b11b0>"
]
}
],
"prompt_number": 44
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Line Styles"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# I am creating 3 levels of gray plots, with different line shades \n",
"\n",
"\n",
"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')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"[<matplotlib.lines.Line2D at 0x562ffb0>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x55a17f0>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"N = 15\n",
"A = np.random.random(N)\n",
"B= np.random.random(N)\n",
"X = np.arange(N)\n",
"plt.bar(X, A, color ='.75')\n",
"plt.bar(X, A+B , bottom = A, color ='W', linestyle ='dashed') # plot a bar graph\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x5629910>"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def gf(X, mu, sigma):\n",
" a = 1. / (sigma * np.sqrt(2. * np.pi))\n",
" b = -1. / (2. * sigma ** 2)\n",
" return a * np.exp(b * (X - mu) ** 2)\n",
"\n",
"X = np.linspace(-6, 6, 1024)\n",
"for i in range(64):\n",
" samples = np.random.standard_normal(50)\n",
" mu,sigma = np.mean(samples), np.std(samples)\n",
" plt.plot(X, gf(X, mu, sigma), color = '.75', linewidth = .5)\n",
"\n",
"plt.plot(X, gf(X, 0., 1.), color ='.00', linewidth = 3.)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": [
"[<matplotlib.lines.Line2D at 0x59fbab0>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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LcDiMpmmYpkk8Hue+++6T3/ntb39blkSK7N+2bflLQqHYbVQgV1xzSqUSPp+P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\n0dHR0dHR0dHR0dHR0dHR0VnZ/H/s6qe5QxghsQAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x59fbc30>"
]
}
],
"prompt_number": 20
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Fill surfaces with pattern"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"N = 15\n",
"A = np.random.random(N)\n",
"B= np.random.random(N)\n",
"X = np.arange(N)\n",
"plt.bar(X, A, color ='w', hatch ='x')\n",
"plt.bar(X, A+B,bottom =A, color ='r', hatch ='/')\n",
"\n",
"# some other hatch attributes are :\n",
"#/\n",
"#\\\n",
"#|\n",
"#-\n",
"#+\n",
"#x\n",
"#o\n",
"#O\n",
"#.\n",
"#*"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": [
"<Container object of 15 artists>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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f7iX8YemYLwIXAvdvL1++vL18+fL2DW94w/b8+fOiIdTDlnooppznUzDQU3FW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\nMAzDMAzD0PL/AYkQ8XEWwbSKAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7eea570>"
]
}
],
"prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Marker styles"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cd C:\\Users\\tk\\Desktop\\Matplot"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"C:\\Users\\tk\\Desktop\\Matplot\n"
]
}
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Come back to this section later\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"X= np.linspace(-6,6,1024)\n",
"Ya =np.sinc(X)\n",
"\n",
"Yb = np.sinc(X) +1\n",
"\n",
"plt.plot(X, Ya, marker ='o', color ='.75')\n",
"plt.plot(X, Yb, marker ='^', color='.00', markevery= 32)# this one marks every 32 nd element"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
"[<matplotlib.lines.Line2D at 0x7063150>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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msxlnz57Fvn37IJFIUFRUhISEBDz66KNuxQUxuRuTehK7AiZHD/SO4H0tujuf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\nAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x6f76950>"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Marker Size\n",
"A = np.random.standard_normal((50,2))\n",
"A += np.array((-1,1))\n",
"\n",
"B = np.random.standard_normal((50,2))\n",
"B += np.array((1, 1))\n",
"\n",
"plt.scatter(A[:,0], A[:,1], color ='k', s =25.0)\n",
"plt.scatter(B[:,0], B[:,1], color ='g', s = 100.0) # size of the marker is specified using 's' attribute"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 31,
"text": [
"<matplotlib.collections.PathCollection at 0x7d015f0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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/3uvwnsN7SrmSrUO3El4u3Ok8g8qAr9qXtQPX8vO0nwkNDaVTp06UL1+e+fP/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\n",
"text": [
"<matplotlib.figure.Figure at 0x7ae0590>"
]
}
],
"prompt_number": 31
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Own Marker Shapes- come back to this later\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# more about markers\n",
"X =np.linspace(-6,6, 1024)\n",
"Y =np.sinc(X)\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": 65,
"text": [
"[<matplotlib.lines.Line2D at 0x84c9750>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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OiTx6IYQQHieBXgghUpwEeiGESHES6IUQIsVJoBdCiBQngV4IIVKc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\nEOH9Pyxi8Uwly3R3AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x8431ed0>"
]
}
],
"prompt_number": 65
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib as mpl\n",
"mpl.rc('lines', linewidth =3)\n",
"mpl.rc('xtick', color ='w') # color of x axis numbers\n",
"mpl.rc('ytick', color = 'w') # color of y axis numbers\n",
"mpl.rc('axes', facecolor ='g', edgecolor ='y') # color of axes \n",
"mpl.rc('figure', facecolor ='.00',edgecolor ='w') # color of figure\n",
"mpl.rc('axes', color_cycle = ('y','r')) # color of plots\n",
"x = np.linspace(0, 7, 1024)\n",
"plt.plot(x, np.sin(x))\n",
"plt.plot(x, np.cos(x))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": [
"[<matplotlib.lines.Line2D at 0x7b0fb70>]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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xPFFG9YYydbdo+gM42BhWtTXWHjMzojnUVzv3U/NFft4I3MrRD2kKjdRpNZmF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\n3BNwQi0dDPaDZzt635fyoTbaEPWLxfD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"text": [
"<matplotlib.figure.Figure at 0x7b0fbf0>"
]
}
],
"prompt_number": 20
}
],
"metadata": {}
}
]
}
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