अपने पसंदीदा प्लॉटिंग टूल के साथ एक xkcd ग्राफ को प्रक्रियात्मक रूप से बनाए


18

हाल ही में विभिन्न भाषाओं में निम्नलिखित एक ( 1064 ) की तरह xkcd -style रेखांकन के मनोरंजन के बारे में काफी सवाल किए गए हैं

http://xkcd.com/1064/

आपका लक्ष्य किसी भी मौजूदा xkcd कॉमिक को फिर से मूल के करीब बनाना है। कॉमिक में कम से कम एक सरल ग्राफ़ या पाई चार्ट या समान तत्व होना चाहिए।

प्रथम वैध उत्तर के 10 दिनों के बाद की तुलना में सबसे अधिक मतदान उत्तर जीतता है

आपकी प्रविष्टि में कोड होना चाहिए जो एक xkcd-comic को प्रदर्शित करता है जैसा कि ऊपर वर्णित एक रेखांकन भाषा में है, कम से कम इसके प्लॉटिंग टूल (Mathematica, MatLab, आदि) का कुछ उपयोग करता है।

  • कॉमिक को एक छवि के रूप में संग्रहीत नहीं किया जाना चाहिए, इसे प्रक्रियात्मक रूप से उत्पन्न करना होगा
  • मूल वेबसाइट, या इसके दर्पण, या आपकी हार्ड ड्राइव पर इसकी सामग्री आदि के लिए कोई लिंक नहीं होना चाहिए।

मतों को परिणामों की समानता, और कुछ हद तक, समाधान की सुंदरता का मूल्यांकन करना चाहिए। यहां कोई कोड गोल्फ नहीं है, लेकिन जितना संभव हो उतना छोटा और सरल समाधान अपेक्षित है।


3
अधिकांश वोट एक उपयुक्त उद्देश्य जीतने वाली स्थिति नहीं है - और बूलियन वोटों का मतलब विभिन्न तत्वों को अलग-अलग तरीकों से कैसे लेना है? मुझे लगता है कि इस प्रश्न में कोड लंबाई या कुछ इसी तरह विभाजित पिक्सेल के औसत त्रुटि के आधार पर एक उद्देश्य जीतने की स्थिति हो सकती है, लेकिन जैसा कि यह खड़ा है यह लोगों को उन उत्तरों को कॉपी-पेस्ट करने के लिए प्रोत्साहित करता है जो अन्य स्टाॅक पर भारी रूप से अपग्रेड किए गए हैं।
पीटर टेलर

1
@PeterTaylor: यही कारण है कि मैंने निर्दिष्ट किया कि यह एक मौजूदा xkcd कॉमिक होना चाहिए , इसलिए कोई प्रतिलिपि नहीं होगी। अधिकांश अपवोट एक सामान्य रूप से उपयोग किया जाने वाला मानदंड है ("पहले समाधान" के साथ, जो मुझे उतना पसंद नहीं है), अन्यथा आपको शायद ही कोई समस्या यहां मिलेगी, जो कोड-गोल्फ नहीं हैं (और गोल्फस्क्रिप्ट द्वारा नहीं जीते गए)
vsz

जवाबों:


8

यहाँ एक छुरा है।

परिशिष्ट भाग

[ गणना को हटा दिया गया क्योंकि यह एक गोल्फ प्रश्न नहीं है। ]

xkcd1064

इसे "स्टाइल" खंड में जोड़ा गया है ताकि यह अधिक हाथ से तैयार हो सके।

xkcd1064, अधिक "हाथ से खींचा"

संपादित करें: हेलवेटिका कोरियर से बेहतर प्रतिक्रिया देती है। इस "शैली" अनुभाग को तोड़ दिया और बढ़ाया। और टिप्पणी जोड़ दी।

xkcd1064, पहले से भी अधिक "हाथ से खींचा"

%!

%futz with a coordinate pair
/f { 2 { rand 100 mod 100 div 1.47 mul
        dup .4 mul sub add
        exch } repeat } def

/op 2 array def %original point
/cp 2 array def %current point
/setcp { 2 copy cp astore pop } def %set current point
/difcp { cp aload pop %x' y' x y   %diff between cp and point on stack
    3 2 roll exch sub %x' x y'-y
    3 1 roll sub %y'-y x'-x
    exch %dx dy
} def
/scale2 { /n exch def  %scale two values
    n mul exch n mul exch
} def
/add2 {
    3 2 roll add
    3 1 roll add exch
} def
%futz with a path
/fpath {
    2 {
    %flattenpath
    % replace lines with curves
    [ { setcp cp op copy pop /moveto cvx }
        {
            %cp aload pop 4 2 roll 2 copy
            2 copy difcp %x3 y3 x30 y30
            2 copy 1 4 div scale2 %x3 y3 x30 y30 (1/3)x30 (1/3)y30
            cp aload pop add2 %x3 y3 x30 y30 x1 y1
            4 2 roll 3 4 div scale2 %x3 y3 x1 y1 (2/3)x30 (2/3)y30
            cp aload pop add2 %x3 y3 x1 y1 x2 y3
            6 4 roll %x1 y1 x2 y2 x3 y3
            setcp
            /curveto cvx }
        { setcp /curveto cvx }
        { op cp copy pop /closepath cvx } pathforall ] cvx newpath exec
    % chop the curves
    flattenpath
    % futz all the points
    [ { f
        /moveto cvx }
        { f
            /lineto cvx }
        { %f
            f 6 2 roll
            f 6 2 roll
            f 6 2 roll
            2 copy
            /curveto cvx
            3 1 roll
            3{f}repeat /lineto cvx % extra triple-futz'd line after each curve
        }
        { /closepath cvx } pathforall ] cvx newpath exec
    } repeat
} def

%futz with strokes
/oldstroke /stroke load def
/stroke { fpath oldstroke } def

%futz with fills
/oldfill /fill load def
/fill { fpath oldfill } def

%make sure rectstroke doesn't bypass being futzed with
/rectstroke {
    4 2 roll moveto
    1 index 0 rlineto
    0 exch rlineto
    neg 0 rlineto
    closepath
    stroke
} def

%futz with strings
%by making sure show uses our futz'd fill
/show { gsave currentpoint newpath moveto dup
    false charpath 1{fpath}repeat fill grestore stringwidth rmoveto } def

%fatter lines
1 setlinejoin %round joins
currentlinewidth 1.9 mul setlinewidth
%chop curves very small so there's lots of points for futzing
currentflat 6 div setflat

/Helvetica 10 selectfont

<<
/in{72 mul}
>>begin
1 in 1 in translate

0 0 6 in 4 in rectstroke
1 in 3 in moveto (WALKING BACK TO MY) show
1 in 2.8 in moveto (FRONT DOOR AT NIGHT:) show

36 3.5 in moveto
0 -2.8 in rlineto
5 in 0 rlineto
3.45 in .55 in moveto
0 20 rlineto
4.05 in .55 in moveto
0 20 rlineto
2.7 in .40 in moveto
(YARD  STEPS DOOR  INSIDE ) show
0 .05 in rmoveto
.4 in 0 rlineto
currentpoint
stroke
moveto
-10 3 rlineto
0 -6 rlineto fill

2.6 in .45 in moveto
-2 in 0 rlineto
currentpoint
stroke
moveto
10 3 rlineto
0 -6 rlineto fill

(FEAR) .9 in 2.3 in moveto show
(THAT THERE'S) .9 in 2.1 in moveto show
(SOMETHING) .9 in 1.9 in moveto show
(BEHIND ME) .9 in 1.7 in moveto show
1.8 in 1.86 in moveto
2 -26 rlineto
stroke

(FORWARD) 2.2 in 2.1 in moveto show
(SPEED) 2.2 in 1.9 in moveto show
2.75 in 2 in moveto
3 -13 rlineto
stroke

(EMBARRASSMENT) 4.5 in 2.5 in moveto show
4.6 in 2.65 in moveto
-2 20
-5 22
-27 25 rcurveto
stroke

.6 setgray %gray
40 1.6 in moveto
2.7 in 0
2.9 in 20
3.2 in 1.5 in rcurveto
10 20
20 20
30 0 rcurveto
15 -1.7 in
30 -1.8 in
1.4 in -2 in rcurveto
stroke

0 0 1 setrgbcolor %blue
40 1.2 in moveto
.9 in 27
.8 in 20
1.4 in 21 rcurveto
1 in -20
1.2 in 6
1.3 in 1.6 in rcurveto
    10 20
    20 20
    30 0 rcurveto
15 -1.8 in
30 -1.9 in
1.8 in -2.1 in rcurveto
stroke

1 0 0 setrgbcolor %red
40 .9 in moveto
3.3 in 0
3.5 in 20
3.6 in 1.5 in rcurveto
10 72
20 80
30 80 rcurveto
.7 in -10
.3 in -35
1.1 in -40 rcurveto
stroke

%thank you for scrolling all the way down to here. :)

क्या आप इसमें कुछ "हाथ से खींची गई" शैलीकरण जोड़ सकते हैं? :)
सैम एक्स एक्स

हाँ। मैंने उस पहलू को पहले ही नजरअंदाज कर दिया था। और फिर जब मैंने लिंक का अनुसरण किया तो मैं पूरी तरह से अभिभूत हो गया। मोटी रेखाएं कोई बड़ी चीज नहीं होनी चाहिए। और मैंने एक मार्ग को फिर से व्याख्या करने के लिए कैसलेमैन से एक विधि प्राप्त की है। इसलिए अगर मैं उन गणितीय परिवर्तनों को समझ सकता हूं, तो मुझे उन्हें दोहराने में सक्षम होना चाहिए। जितना मैंने सोचा था उससे कहीं ज्यादा बड़ा काम।
लूजर ने

उन गुणों के बिना भी, एक बहुत अच्छा काम।
सैम ऐक्स

और स्टाइल पर सुपर महान काम!
सैम ऐक्स

7

एचटीएमएल 5

@font-face {
  font-family: 'Humor Sans';
  font-style: normal;
  font-weight: 400;
  src: local('Humor Sans'), local('Humor Sans-Regular'), url("data:font/woff;base64,d09GRgABAAAAACokAAoAAAAAZOgAAgAJAAAAAAAAAAAAAAAAAAAAAAAAAABPUy8yAAABaAAAADsAAABOgsNwLGNtYXAAAAJkAAAA4gAAAXxBSLIzZ2x5ZgAAA0gAACMtAABaPjPOy39oZWFkAAAA9AAAADIAAAA27dShd2hoZWEAAAEoAAAAHwAAACQGmAKjaG10eAAAAaQAAAC9AAABsNS6DQBsb2NhAAAmeAAAAT4AAAG0ABGuUm1heHAAAAFIAAAAIAAAACAA8wGVbmFtZQAAJ7gAAAG8AAADUQ4h4Rpwb3N0AAApdAAAAK8AAAD6DKoM2njaY2BkYGBgepb2+tO8F/H8Nl8ZGFgYQODoFxtjBP3vDNM1pmdALjMDEwNQBwCz2g42AAB42mNgZGBgZvjPwNDALMagwKDA9I0BKIICcgBG5ANCAAABAAAAbAFTADQAAAAAAAIACABAAAoAAABAAAAAAAAAeNpjYGCyZ5zAwMrAwLSHqYuBgaEfQjMeZTBiZAbyGVgYsAPHnJJiBgcGBYU1zAz/gXymZ4wmAGsVCdoAeNpjYIAAxrdQbMSgwBjHoMDEB6R/QDCIzfABIs64AMhXAdJdQLFbQHobkF4HoZmsgDRI/xkgOwDCZ6qBqGe6AhUD6ZWB4m0QtTAMVmcFVbcCqncSxH6mNIgcwxEEG6x+BZRfA8VWSHQawk5mMahZNUhuAPqB0QOIS4D4ERCzIekPQJgJDoMaiHmgcADbyYcwGyz3CslOmPwkJPfD7Aax90HsYpgBNY8Pqv8KNCxKoOH6ASnc4yB+AACzuz5fAAAAeNpjYGBgZgADRhUGRjBDBijCCOYzMLIxQAWBNBOQYGJABUBJZhZWNnYOTi5uHl4+fgFBIWERUTFxCUkpaRlZOXkFRSVlFVU1dQ1NLW0dXT19A0MjYxNTM3MLSytrG1s7ewdHJ2cXVzd3D08vbx9fP/+AwKDgkNCw8IjIqOiY2Lj4hEQGwiApGYWbii6fgsJLY8jMSs8AeyuboNEQz7MwRABJIQYBYMgwMdQxLGZYw7BRQVhBUkFWYc3//0A5BYZFUDEJBRmQ2P/H/w/83/F/y4PgB/4PfO/vhwcjEgAAPvcvSwAAeNrNXH+IZdddP+fO3Ptm52T33evmnYlNzOQ6zW5tbjM1s5OrZem0l2jT2GnDashtoTV2bLpSfbamroyNQfFRaV1cCCmVQWiNlpaKMAasC9LQfzooli2lNaUwCg2Li7WgLAVDMLN+f55z7tv4n5Qmb3be3Hffved8z/fH5/v5fs81mTE3vmCuZ0+ZVbNhzMnR2rrdXF/a3Mo2VvPJajYZnRzbtfVMDow+U7smL5y8cl81pS9yh6+ircuu8nzQVXC8sPfWTTXFP+jl8ZgvK1d6+Nmrjj5V49kdHobrwceVMTAiM7V32ivmdvPTOKLJOKf7b24tbuCAVuBIhsPEQxkeeSLnr+PNaSg53+oSX5MOehlQ2cCt4yhppAWd1pY9HofhuGqfRzqj8eQ3nrdX7FVzwuwac/e6HWeTVbuxhQNYo/cwCjsBMY3h3wzlB28XcNhwyiL+BW/aDRjuerYlX9zcsvgdGD6cAQf5D/o9srfBVBoYSVPCZD5LMiUJeg8CponCP87hL543TxsnIdKs9dsgirLglSpVMvQ3nFcUL8CpDUkIDrvTcKmGrgVX93kh8uhLD3ehJaO/PS2mg2X3JNemrPHaIs4CvyZnwgG8C4ucLmEWQd8et89lp4wzK+a0+R1YYZKXFZmeXhuxJFZAWukneBgXHtc+I7nCm5xEubSB2kknoNIuTvYKndRHVVHdfSQrhyvvmt1cFc7BcHsWD03f0+msRW0hWkJTxlmiYF2hL7uEwuRbzUpYG5z3f3uSg0ft8U1Lt9DL9qSXORuNr0T/SAfbig0Jx1XnKLO6nOIF2Vgq50wOsnveXrZnzJK52zxozpkPGtOeBgmBCtqV8eLa+ggtYjQZteNbQOm2biG9QoUkKbYrYstgSIuT0VM88tK3XmVBGpV3Yq8wuS/BkW0YDuijaAqpVFfku6JLZVHSVcj6QWvrgk0I1augz0DoaprsBbpCPAhcsIJTtvG+Des8fRNHsFuxbL8bZOxA+CBJXgj8dleZBfRf9kp2FvTpdvPLoE3rGVmVPYkKgtNe3MB5o7agW0OtAoUBPRkv4mdoe/SNyehQXAi7CrImUnBfXgPJtOUBLIksZF2IlnhWchh0U5CU8EjrxNfBgFtwOpfF7+G1j/6mob8c28glh6eg0OhKPUyu1ysGfWhAE1j8cPfW0bVqHBH6Swt6cWj2waJOibdkJyRuZglX+jPqskHIPupvoV6hsM+JlsEvnINLNJNdOX+Gd7vxLXtnds68GW49Xp6s3jImycodUeNG9rgjhanVlupCFlbVrOMP+SPSCzSLHk7I7uJh1njDfTy3Fj+nOtShKc7AA6GYalEYst8Sx2dufMc+BvHsLeCrxwVowNppdLBbMMQcIhuudwk+9l00ghn6JkeeopexiAE2KF+JB3qTVk95gUY1g2GRl+0rPqVhNwFuRHwHOQweeytTmvIYn7ZX7WPmvThGDBbgyUAd0YJp1TDG0NuFzXX4DKNGyxLeQNWWgEHhgt3jajay38QFCoFBhMZGRj6dV5AUlN/i5CA40+zZhfuy4MDQelbgsyx3CSPBGUkUaCSU+IABRKEceQYJQujLSAKO3AzpkOnsA/aiuUfmn0nc5ElTHEAzxXnxLCf2Z3nEEvwQaHjSl3B/dKpfEafuc/Wxzktk8qR8PQmIVuBbZg/+/3HwoCh+u5UHAU9Gn8D1bySswj08rWlxKrooiglOwidez+zZC3bJnMQZZTUsGUSkjNblMZDY0Us4poakdoCC3ZeY3Ajy4WsA8jEzU+GY7HoAPO+tg/ukRTlFqMlHgyKr/DTcnyRqx2NU+ZMEJT4AZtjmotPwpnOeja4mFYX32wWMCy5kH2CVd+Jbqg69ACpGTdEJ3m+zlxOUBn7gZfC7a+ZX4Z6wXiRGWksEjmBw4ItOrDvyQjn53GUY0LNFz040REWURMMeD21wm4ba6VjCq0kCM3sBVyXBsyBPu9TDNQhiBlfjIA439EU0U9SimvxPq/fm6zV4sT2N9RyldPnp5JIAoiHdeR4Q8znzemMooNpqncIKoRGc5WpWjb7rSNncHFgmP1Lrle9D7bUPyV29zojhcHAYoD5fY6/xBXsRJN4bk1MgVyzEr4I8x8IaOD08mFOMW5owWkU9sh9zBMUQnxGobFUHJArgMGuSNNtQj5LtBriEZJGDoGCMD5LwdGYtjL8VrczjfNiVssL2tEie18TJ/BB4N5Wif7LMrMxK8xha0iJNMedZkj1tIPJjP5kTPEQRbGU1Sh49KCnZjR11VQ2rQCNxnQc1ZdPhcaDyUYBr6E8yU7ukmoXQd4e+WouQzu8MFUc8ZTgUcHeDYcAr3iZbFzmSi94hM0Cop5EVkfHLMPMdnDklX+AVM5kkLnixyastsZZWFZc3Q/wr0CanyEBAeGSvBjhLkZ8gE669C8mDLGHwLY4TMtHCOtcZFjGH6mMKx2AB5MnzDwDPYXxGMTt1vNd1EegyeyBNzRFJwWeVTzXg4ews4Jkd9GU8eVp70OUl1Pp11nqKhTkpQ76pZsCSANUfZfc4QGyo7Y3OCdeQsWdfshxo0Tle7AnWaVQxXBmTAQ9eWyFRzZnkcxFRqX/t+Fv9nHYoVmwwYCXHGeZ1MYGuORKgb33YXs3eb15jnsSMc3FNoCxPb3EFXO04p2nn5FvZwy5vrC6MHdo8GvwSrP+HfbSDPOQyeL8dlIH4x04QmRt62HrO1TonuNuXwXHLd2i5RXinwnRgZX0AybXIRW7RRT8bfvWMouiIOF/H5iGBX1MhQTIB03YcAR/OngGt6VFrjjEMDq9AF0Rxrdsaj2P2Tc4DHGT2h3l0c/VgigQ50twviqjA6C5Da8B3XFHrAVCdeLm6DOqWql0japDIwSuaDIrj2HVgfkoZz9PgIU+ZCUT7xyn25msSc+0KKAsmNqwmlnIetg5HBpSRX7jAM2oE4npYv8Z7HWDF9oL33L1U7gXtkGXdDsGUMxZeLciI2pyT5sI+5MW424DHmmshjHDwwYBbX8qDggUBbLNrSPF4h1LsBBG06i2/AzZynrzESBe6iAtN1AGHDw2GHDOXUDjLlAHbbyYrjDm2EkjkonHN+jj1KTg0tn0YSk2+L6AXGTxBJSfc13vIs3UBMyOM7MWLeAostaTaJMOp2D9C9Jr8teKeqGxtypLdeNgc2gfMbeZexCGLuMYjnFQbCDt0kZj9+UF2ral97ThhJ1ckg36QmSeEYwn6gTu+ItP0bJSkiTiGJ2EMF8yKeR2OYUGlvwCeCJnDTJlDSzloR26opSjB3uQOtQNPaccdqGm5AAkxf1/ZdQ5LXsK0kdW/ABjspyhGTGR1R5tbx5lC+8Bhnu8w3HDgd6ZCSG2TXgldBcnm8iFcf6ckCOJ7XAQeCaLink5j8oFYyc5eBIR9J2e+EpeETmEHgm6Z4chGjEQCvKYCvLwyY4dKiLo6hMCElGyCF7l3ACB1WVAN/r6WwzH/ciEjMDe+B2jxvNnE0Z6AQS1h9rtIceFjuVAICAlw/qxkM9KBLjF3gtaXyK/bTAELpWA7bMFVOWOSrCtS2gjs/hLnUCi5oxdhJM9AbvRrgpgZpxC5XBDOydcpQ9gaMagF3LMoYpU8CtT4iZqFFzHXKxTIO2YskyShCSma+hBPjk3AYJXnVQK5g/ctipdiZuX5S9knKG51And8vP6U8RxLqVaaJMJAXyZrIh5mD3R3QbL/q2ZsGvMHxCivRUrZrsAyMRWcTTj9bVcEB5NTG03AtlZzEoxFFHCCcivHvLEGFbjrJ4XGYB8ScAZaF4XTGc2oQzia58KhOMF+4n+6NPdi3osdP4VqnX/xfRIWxkdU29u78CFBf0nEyK8pdABdgfEQrRWk6phAm0vJiIyvJRzEGRGRIkjp5WzZ3GE+ApLcXB9h9MNgiNLk7Ix4wIz+IYYl2wopU4ADI9QwKXjYiwosnI8wgHKeHaFYVJM6kUxQzJtfNc/DcUQLCrGnVZGGDDEgMdC/a45J9yIg916DcuIbfKTnAmZo2GUGYHfAYkKNe5xyqgl4gxkhBkuYmmoXG1sLJ0FuA4hZrADUptipuW2mXg4iKdJ+jnL58lBcR0WYv+aEqbsZdTIjnLvtkNdyCcgNsGTOCacm4k1iO5JERrBsH+qjmirLePTtiB1BnQ6SihBB0GQ9yY3YM4k4S0mH5XYp8xC4J5dka2/K3g/Z+EcwGz+GZig5SMWliPVMkm94LVHiOsLQlD0qVwQpHMyZ1zz8Voc6FeGRl2MQNKWZ1Dpvz7yjo9BZFhSqm/tEbLFoER0jX7SLsCVlOwI92NKfU9bQWrBMrXHASSyH4NA4ssXHIW8rwat9kGwxJ1e+OAmODDXLgWyOa+wk5iQ6+RHb3xXFewGOyhImOBn1oN5RoC70qmItJl5gtjMBVyIVjgWzfcGr4pQ7yfamKb5Hge6w/yO1aVNPQFpzGNWz5eVkjWd08nR2LrsLOQxGCjXRtCFTx5A3Isy+uCHH7MbKhE9dz8TmkAjNauZ6R9lbeW5HX5KqRBcoCk5YBV8oU6hIE367hl3I0YuRcKPP7QXmMO0/SI7jhBiKQGKQAcUKEZ7QcCUYrehCcExFqESyHD5tr9iXzcMoh0xi+4j0QVbdokse5ygQ8dU081GNzOnlWP/qQujWoguHbk8W0SU8R6hPq1uyDxGMuqxcR4L3E7/NJc82GnmHydxBSgqqBfLMnsxOQQ72MeRqTlAQZuuHNGuZOasxV4cB1WAClgBDSjUnecLx6QQpHWNmMuqhQvZZCt6TEMRRPPgLSZ95HlKPn9LaMIPt5r0gVypaTUSmgSMYgpekAqNJ2aFQqZrSTwODJJxhU+4rpwdR+pR5BHylMJYkkbHwVxNOX+SFPB6bC7uMBSK8FpFVtVeFROLp7afQwSX1f61rESW1L1DQqU4gXJG4NE16D1TTRKvVeRyohTXEm4UaqHNJ+8BRIZjbzADZvSbiXDRjGj+uezV6ItJgLiY1fMOpmKuMCi76PpHe46BrpXk3e5P1xKmiAJeQxGg3sJYpoTrkXYMsJJskppQP1jZyK1Mi/V3oyejYsXnFxeJSwCgwJfizYFKB1TjQKwXubOq8pi/7dIWOiMW0dYR1xQ905V2kK8sK2mA6FVXEqC/Fbh0j31FQOnPVI0Yn82kVT6hpR24z1hm1gYHNT7nZz8EYOOlrhafuIxkCbuROTVqFKIk9FY76JjgQca79OQwEVCmwVwEj3M2MvWaMFXm+StSb02Ms3x0GFRR5C5F+KPWrtJSQnSK1PLojLGWIPc9n5+Ge70NepCIGmSuKOXHIqD+CSpgYY4cLcWh5A4W6NMoeFVaTzaqT7MeF2J+EB5+kO07TIBYTk0RJIds+hwpNhMN1MquQahKGEZe2F9n6AzpLWUdxWeLUscyjiiuWBzZyzrwD/DH3B40Yzir/RwoETuS4FhcxqazID2OaOqWr987nAQD6pGdBql+kGk2k9DneFd9nImXKA/OB5ZtF6hlCpNrbtqhqI7xpr/7l6CXmVJ4GFPUOs2F+j1AUrA9AccfNLYwjV8a3CA1OHQ1bYyw68aKCMaRJkp+Hl7VSz1MFUdvChifMqnyvHwJSwnrbsrz7MTgQpppq3dvNI2hW6HpAppd1QgcPbtJXgRZnqRNw2+bEZj+5JMuYOSiqFjSEtjZZMBJ7A8BaRoSecZ2Z4NUWJ9BLAjfVL3aDhCFmBly2Y7zZl9SaUysrrShIzt+X86fMg3ah6BM7LIazpqqkyLvO2RIOpA51RnrRBt56GhjAL5CnfKP5bdKUgnLfALalWgRQawGCkSIsLRxgorJaURJHkX3bcVYhsdwFljAXdIDJW5MrN4rtSYS4+5uWsAt+QIF6q+M/lDRwW2bBy9hVndOSWc0BsSWKpm0Eo3FtpM5ZPRpVX351CVHMLqGNFAFJifSjIqZ4XRQDvMDJNTQsG8KLpLkjdcpLWEgZgYQuw5LvSZ6LMaz7aAMOPmTsw2iTIk8fChtOqLJQiKe0iblydGVNaEvsjn4TIpG69JlGoF6AaB+0cQ6ezWLl3lfSvuK11wTr9L9LvRbSQTfOtJC2yLkXYVRly7mfLueTwPWgNuWU8f+7V3ph/ifEyWnAn52mJNwV5grp3poFfi1UaIN7CC1H4QU44zyeebOiVYEjAZ1r4h+NVpJQxHWR9oaK/EMEnwO4jcTQ/MYj2SnIW96AiAvyE1uN2XwWCIZk9IayM0rNJqQKe1VIoqSJkvgtFwNAKBqWR58l9fQKT+2SABPHsTJgIeZt3o1rt0ChDKx3qUIUBAlVhcmFNrXhwlmhsUb2hpTqMXmPFb6azMo1RUqyNZL71wNZ5LEEIB1PjupFPnESaOj2WTyNDBXyy1Cy6IRXaEJGoYxskdTxpjpLe9X+wDyB0l6gnoUT2FHG00JOdF1aZ1cVuDB1tZTQd3aumpO+aql/DI8Ha00CV8CIr8rlNZQsf7hMqOS0JFnVUjzhufaRpXOxVUVtPeEqQpI3qAEGerATJJm9AJrwAa52gRaMxkvr6cJb9fvHWUxbS0kPVTbKvkrqMAt1K1IIDtJd2qTiGmaUnAI3LZdQNwOblAT+QNHZe7k6N9PZE7RrhOlNoijEsgacGjWKh+yWqywNw75Goockbcp+slU+nZ2D7OrtlBmA76Zm9a2RSoBDOodA8NvZWRpTx1iO+6DwjVOA3+bSotawZ9rVMgBXJffx7RTP7ZjjosACI3QMS1pqeoHRdsxDwtLvai50idViP4+oHFHKWfNL1J/FJQ9Yuopw6HFkDdCR3KPqymB3Nw/YIbKkdTxBcoRaX16CSkSp9geqmMwz7GpHESPsw8j/1ZVW3zUvqsUt45LQdLX5Syw2Wzbvkbwm10rYCep2x2jKvBX21h7XPD7fEC7LfrNWQic0YIeGgxrhHpZKaISSdWmLzTdC35ZPG1Q9O7X7kpq95h61TnCbZOXTGiYO4RsBLrgBha99fTeeN4cwU6xvrgl0tBvSJkjoAWkKSeVW7ehgpoGMu19KjgEu6ULslHfekxKnIy3BBOvok9qqyTrzn/YB+xwgW5ODqpeY5N+KnZBxCwbTkliRd4KT26RxwxVOnRFrKgmB4V7sSJXucrSv79kl8DF34VxP044FmGmlLUi0iQE5jOt7VdL+qf3+zJN4daK4cNIYhPsEkM24g2dlDuwZe9nUENOw7TUPJXvaYGLv5JpUqR1BoV1kSsH8AK0xtFOLrwS4ISQ190P39lkzM8fgDjU2/9bYk3wRhAuCfwyG1Oec/NO5DYznXnObMe36Mk4QPMe+uEhUNfKHJNSiEefWUpxuRIKKxZ8ElHUeMv0nOQvZ5I7e0KCVb7S4uWaRPlpcUxg2EWDB6amUpLCaF+IcdmvUecyo5roJcRl2UXcTmi52mfj/ozw15f6Oej7EFSB+qSRIa2pIjZJrHH3KBQq2CQm608JYH6o+oY+ukYyoiTrnQyeio7qoFaR+1nxIWXNyk4pVbaXhLBInhHxYf0Jf4Bo7JGoQ5D4w7tXIdwpms6aVtkHmSffwfgi8VAKfyRywMqLsmAvBXsifmpM9zPQ+zhhjhxtGQuM7wiPeBAP6/2CVdoV1ug8EiVvnQ7+TS0ZVa/1FpFNm57DbFvvakXF2jNM1sTtOnCnWmpgdIxTYlFpnc8MOrJrq/QnaaDCzqxnZTBOUpCXMtMlF934MC7Z9ylTX1BqQ0AEw6TAf9TrCKTXDcWnTBe29ei1lb2fM7ysbwtUj9rkQUkbsPAAUVWuh0UsSusXNWLVcYmN6OYbRpGpCG2E6taeYseauTQxrGvJKrjnqLhBa765Ksr1GyrEMlQ58uocoqbO98l+xuMUMvJwZCx6Dxcg5RZ6JRe1RdHNp6a6WzRNNUot6Prsf9KZPulbQI8mWtUz55EVuKMiSvhbNiokswVQHbemgCn1Dh4jmfOiklAouCfF6gG77wzKLtk/0kvVkd9Uh9UKP75qU0e+rudYA9nxap0jKxExMSJf05ewZ8zaqOTE2ofny7rHFhPTkmTFszEb281IM1IoKlgB85IGV8KxfpWdNCPPsHXHbRcdVqcCSSjUapcYOdj/UXAOhWkn/89nsKfNb0c6XQlcrKTh5OFDn4+rzxC9S/EQM2TM1U8cycZqxdaHLI7a5oCX2wUnI5oAmsrk9Lwc1dIr6caL6VKStkP9UFDlNiZkUxEYXB6PsZKdBE1xNH1uNfRkZ3k40+UPZXYBP3sYc7wJm4dIcneOfpymAyl5KrbViakCJ0QSpXvQ5eQAt2uNLR9PNkaxhwlNIQvhCeR3Xlv1bDHiU9XPTJx4mde/SQtQBOf99hFiMnGmv1ut4r9Zcb2rg4jPds5VsQwlsay6NYVnsb5bKikvCmJQqDivJPt4PksOaAMXGcVaNHZn5MnIJixucSK9zPF1MavILE6wHeHbWsdXZDwqzskVL+/pq4rRT3x8qKdoLch2XGRtkPWfinptoAxE0v3GM9KZOevhnielreUe7OKWKhLsCf0H2SuS8j5RCZV5Jux7ny9g2zZsBOUJ8mfvaKVX2zMU0IdtqNPFV3ZYiAPH6uYS84g72cjPmSvtKfB6AAR/z/zztGxP5bpMbnQmrJt67BFz5FpmHnXfP5MRoYrHfeRWc9SKEOrqmdPyD7fbD/gYM+WkTd4OYnR1RQo70WpYcmH3j4urPyPk3Ek9D1eu8eVTHHFRrfMv6IpJpUuqvhKBGtsIp4K10J1t0G0neK/bKu9pCPMDWqtAbxIXwoH+4FqF7P9RaJLuVjb+4wUaSCcpbaHtLr3XPuHMgVokBzNFMt8BXnzPvTHuQkZtA+6KdQeKRTuiub9x5q3m+co6U8OzoVgKMgMHIBYjUiWeMW0wwu58KuvORd9thKFcefbTysKYXpdbmk91dvaCdw7gRRisK2V+C1dxv/pjQ1tLa+KT0Gm658bG1iA6c6t6tEnjEx54NOKmpdEb1YA+UrEQXGd5+J6IrH7BL5Nj8kPadb60TfnEWPjmQfuoAG3ya6dKu9vkL9nWCtOr5DT5Jk6gfcNN1sqlnltTOXOhMvB/y3EekLsVbElZHVMEr1nSHAteDpV1bNm5cLJq5HShhn3HHuzdqFNg09s/p1mWJ7k62U0jp9TEfdhr6pCE9IBlWi2nS5zPly2Xny5ia1DEc0/yyU6ArDfK23Hm5pHEXprtInRsroSKl7T/JXh3tl5E097Ji8i5VGorFjb4lTnrHx2pmIf0/gne6m3roNCfphD847MNOLp90Iu4T0eVCyQrbBX1avtR+uFo6bfyQ4eUGTO3wpOJWjWktd8VhPf612OvL9UncrrEqPaq48C13W4JqYOPzGvO70WvGl4TlE1TmTfY3ptsEvGtpQLNyN0lxqOl8L5n2tdjUNWyLcuFJBbGWqc2rhX2omYvsipe9pEwRAHNTxJ425oDUrgXqcdB47QfN2P2wJNNLw6VUsq5AXPl1RMbHNArSNjCmAhxukcNquB2Xq5QN2y/HMXbaZK++p5fNYF6igVoFb4rVTa+OthknMcNrHUX7JhEInBqW2dNtX502lAtLG5qHQkeBFPvSOOfjvvc6dOEIskEW/GVkBTlbq2J/TKjgWS5MnaXoMNcQk5TdUBjZKeSJn2VBQMxwuluTalY+PujAl0mPycPZOUCxaPnjH1tbnzdrQlc5uTosTw3qFCewlzHZZNWXaSNb+tSAV9lcibKbhq1BUVHqfH4jOu9E+qJ6/rntZ00VkrBkq4XX9O8gdBv2VbIpbbA9q9NOIHnF3cGopXeZ8ykmCG0oJzZl116o2CyRmKyWshaYufnysFjVJNuNbt6clsd9ITfVq9K6Fjd7fjzZ+Kipe1K20mcYpBWpKRMyr1b2arzW4vm5FdQNFfZJg5aU1HGewlMCSciE5uPRvIMLYtEaHz8dp5isLmy0KeTFjD17q7+p1ucjSarIsbt5v+JAXsLJNG5QV8+Hz8nwvKPPD4p3TWx2i01QijA7zSOVrdACQAjBU6ESWdKN9KSSjAcOMmbqobv4fvAAj6JcC+pysZQOj2ifA5ICy9gvuUwt55DA3UNOcEpj3JVtVY3sgadilUSP3aT4lGsBPfQyFNzg1Gnm1mgPR7Ur7GhF+LOVEhor1G58iID2BydEdh5xmubHD4P1nDK/wtbjFCJpMHS4iSkTu1nA3lDc/BItph4YTdqUcfO2TkR23ZyBJPvz2eOBufiwi1PW7YDpr1mKCeuh4ciKdfM7VllLYtrng6U8BbN+u9bTamrD0JaMLKbjaDrU6Yk1jew3Ak8ICQyDgD0KK8GZ7UVUeCgZM4bkvTz0N9kzg85Cco4dQoXtxP3Gll7hJPYoskdyjis73hwA0nmQnl/BD2cCHIiGDou0MpG9XlnYtQ5T+NvUgPhRVj7UEwL6Bvcn/riVTekxyJ7S8/qUrhmuAz/EQ8Ngq7txQ41E7eqvTW+vmFuRm6k0c622LKRsb5NnR8WHJdgPU4bFakBC1Pw3v/Ets58tYwdry7tsMipVby1yHwP9k0vloiXMn0vivjAZ7Q2arPWhLYPNZdLIpz2Y/LQeH8MhEegHwx3TejwyKPGBNdrx7alT1w/6APMiVNX27BX7HnOGn8sAOe6SdMFw2pLzs9iQPkm6etIneMAQeslNfGwRg3l9JeV7Bj0ocHIfcg8X4Ivmql+E/OpB8+e6o8lKS8A686M58/5bJ1eiJ8G+gcGDw2jw4Q0xqOcDvUFPvXL63IS0028uF/TFoIAdCwep02m4a26+yTLdm9NJV3kdn27iQjt+YS80Stk0FHmFI22StHbuiSODErijTVCJO6vjUxzmSoF97NppNP9LzlE1mVaoD0fXsj/J/s0smJF5jbnT/KR5HaDTN8InP2POmreAHfwixKo/NX9hPm/+yvyd+ar5R/N188/mO+ZfzHfNNfMf5gfmJfM/1thFu2xP2FvtbfYOe5c9ZV9v77X32fvtm+ybbWd/3j5k32nPgVVtbkzwZ+G0YIYJt/qO9IP2dLuxMrbwbgQ/J/FU+U1fg7NH+IicBXBKJ/WkcXZ6k7ca4CPoUI/WRhBYePs4WiycvdHirVBJTlKBHB9TR9/mK9i103jWaGHdcv2cPqY7wJ8r8q/ecSUcb/nbWKpeoZHqqEc0SZgLzewkXyT9nD7TM0c6e/lJr6LHYOmcNvrosz9c+o7+a6WgzM3tfAa6oqRCST5IeIPw+BjWDb4gb6UrQC2d6LEr+FlbJbGLqHdU6qL3FT6UigKw47/4t9dDcYxFOG1+1Ol/tzsc99FL+ogNpzXf6/TBFG/XOzdzzp6B874Evy+Ar3Hula8jxJO+dZedde4APv82tfRJNcSXOHS4QJ0+wCzxBzT0lo3S/lHO+x+mfLePFIwyy+roa2JMuMX9Mef+iWbD/9pnneORfoL+hoHZR3C+GAVwtHAgK+nX0Ys4FPBYdoFOheEewh93wgXwA7xSR4fgYvvONTQh+5DDAXl6CQKxF8Gbvp2fyLWex0cvUkcVhPCA0UOj4aLsbq9Dp4F309A5KMX+tC/2kjAUIS1hQPKMEvv7pZ9SRaXUrKROAhbTLZckXPlQ2M7j3hHj7Rn7r/RUAGyysNr6n4enbvJzH+6kqI/RrUseSyNZAY1vG3shhB0+ZCzfKMCY6RMeq+3/v6d//ZCf4vdDvNuP3hNdf7TGcwtE0K9lL2RfhFU5Zo6bykzMT5i7QYvfYH7OPGcnMEaISRB91iYbE/jB3yv4+zRo+AoEjdPjbAU0XD46SXX98MisRQgQtBtmbXwMwhJizs01CYEtPyQT3p3GR9bGxPvExlag+DOmMSoCTic3Y/Gcn6SZSbvSqKcIQOHCk6NBkAJKPuXcc+bJE9UuEVDMCV/Usrl4auyd1BYUCkbezYGbuVJAJHqHW+3pVd/EE0zTx/GEPb6vegvdX72faPc0NExdBie7CxFzx11y17AyBpbeUj/arIbDr2xG7toHSF/ZBe297PhuvLeFH8VC+8lIjhQVfVkGsiBBjnOUVl8Nu4dhpC3VXZsBCJ8OJxZZzuSrhymn7ZO90qncAPr9L+WmlycAAAB42m2QOy/DYRTGf25F1b1uQdG6VNzqr6qooqqotmmkShqDiBhFxCcQgxhExCRiMIiIQQwiBhGDGAxiEKPBRxCjeOze5De8533Pc57nwL9nH9LskL4GGReQeQ9ZD2ByiRfI3oCcP74hNyR2xCOYvZBniHOw7EG+6gXSKjyAoicovoKSGygVVp+4hjKneIfyJahYh8o7qPqEamnVhKE2AbYFqPNA/TI0RMQJ2KXvUN0hP42a3aR7s3y23ILzA1pFm1UcQfsmdJxCp3x1rYDLDd02cQiGWSin8Sp+oEd53PLdewaeY+iTjlcz+qU/oP7BVSF/vjcY0rt/BoaVZcQCo/MQkO+xRQjq7/glhDRrIg6TKZhS/vAuTG9BRNmimh1Vf0w7iGkn8QAkTOIZZoNiW2jHSeVOfsGc+lL+X8EbRswAAHjajZC9btswFIUPFSdFOmToz5KJQ9HYg2VJcRB7CDoYCLJ4cYB0C0rblCJUFg1KiuFn6av0zbL0hGSAoimKkhD18eKey3MvgI8iwsv6iftAAh/Ep8ARTsSXwAf4Jn4E7jHna+BDfI5OAh/hXXTFCn7du2q+5ltxGjjCGzEJfIBEfA/cY8488CHei6fARziOxswUvePg07P36dn79Ox9evY+PXufnp3PmdnubVk8tLK/GsiFqteqquS8q63RZ41clkWhm1bmqpZZkkxjObNatXotl3u52+3i3NRtmZfaxiuziWXXqGFaldvhOH/s0gvMYLDFHhYlCjyghUQfKwz4X0ChxppnxS0xR8e7pULjDA0jS6cqeG+cMncKiQwJ9xQxeUaFZrzluXaaPc+d2zEVhoqWdXJ+mrkxXzfYOG3HugpDpHy/pM8hxsx7ZDzFxU23MVbeqrrBDSMbqiw1t85Ds9BFVynLJjQNdiygYP8tuX4Zlcziqeynl9ng9QjlbzWuX5l/bj1m489DTHHJ2+C/mpV/83OnbVOa2rnJJqPzUTLFnZM1lJswaf9chglGOOfHuTuLf3QZav4Cg/GRt3jabcNHMgMAAADAlSBRI3onokfvXZDo0Xs34+gZvMDV0QuMcvI2jLOdWQF/vp/d+c/97ywBQdly5AoJy5OvQKEixSJKRJUqU65CpSrVatSqU69BoybNYlrEtWrTrkOnLt0SevTq02/AoCHDRowaM27CpCnTZsyaMy9pwaIlKWnLVqxas27Dpowt23bs2rPvwKEjx06cOnPuwqUr127cevDoxZNXHz69eff1A6d8G4QA") format('woff');
}
body {
    font-family: 'Humor Sans';
    margin: 2em;
    background: #DDD;
    text-shadow: 1px 1px 2px #FFF;
}
h1 {
    font-family:Lucida,Helvetica,sans-serif;
}
.h1d {
    display: inline;
    font-size: .8em;
}
path,rect { fill: none;
    stroke:#000000;
    stroke-width:0.00329859;
    stroke-linecap:butt;
    stroke-linejoin:round;
    stroke-miterlimit:10.43299961;
 }
text {
    text-align:start;
    letter-spacing:0px;
    word-spacing:0px;
    writing-mode:lr-tb;
    font-size:14px;
    text-anchor:start;
    fill:#000000;
    fill-opacity:1;
    stroke:none;
    font-family:Humor Sans;
}
text {
    font-size:0.01944444px;
    text-anchor:middle;
    fill:#000000;
    fill-opacity:1;
    stroke:none;
    font-family:Humor Sans;
}
<html xmlns="http://www.w3.org/1999/xhtml"><head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<title>Front Door ( from xkcd.com 1064 )</title>
  </head>
<body><h1>Front Door <div class="h1d">( from xkcd.com 1064 )</div></h1>
<svg xmlns="http://www.w3.org/2000/svg" width="640" height="434"
   version="1.1" viewBox="0 0 0.7876308 0.53355077">
  <defs>
    <marker id="Aen" style="overflow:visible">
      <path d="M 0,0 5,-5 -12.5,0 5,5 0,0 z" transform="matrix(-0.4,0,0,-0.4,-4,0)"
         style="fill-rule:evenodd;fill:#000;stroke:#000000;stroke-width:1pt" />
    </marker>
    <marker orient="auto" id="Ast" style="overflow:visible">
      <path d="M 0,0 5,-5 -12.5,0 5,5 0,0 z"
         transform="matrix(-0.4,0,0,-0.4,-1.4,0)"
         style="fill-rule:evenodd;fill:#000;stroke:#000000;stroke-width:1pt" />
    </marker>
  </defs>
  <rect width="0.75612795" height="0.50201935" x="0.015758738" y="0.015780471" />
  <path d="m 0.08162198,0.08036774 c -3.384e-4,3.2166e-4 -7.6617e-4,0.35262886 -7.6617e-4,0.35262886 0,0 0.20318503,-6.6026e-4 0.29000566,-0.003213 0.0402085,3.6731e-4 0.0806898,-1.3866e-4 0.12100339,-4.2191e-4 0.0422491,-4.676e-5 0.0848177,0.001196 0.12714108,1.4026e-4 0.0292134,0.0012 0.0579496,7.8663e-4 0.0872307,8.041e-5" />
  <path d="M 0.45045642,0.44967094 C 0.45097434,0.43767424 0.44992661,0.42569324 0.4498655,0.41370014" />
  <path d="m 0.52462262,0.44857719 c 0.001364,-0.0112841 -0.001303,-0.022673 8.8508e-4,-0.0339046" />
  <path d="m 0.34455432,0.46185837 c -0.0838098,-0.00177 -0.16763839,9.02e-5 -0.25145536,-4.499e-4" style="marker-end:url(#Ast)" />
  <path d="m 0.36372087,0.26833529 c 3.15e-6,-3.093e-5 0.003925,0.021959 0.003958,0.0219625" />
  <path d="m 0.59455272,0.18635665 c 0.00168,-0.0249062 -0.0194278,-0.0449558 -0.0436226,-0.042955 -0.001466,-1.5486e-4 -0.002932,-3.0973e-4 -0.004398,-4.6459e-4" />
  <path d="m 0.08896568,0.31883844 c 0.0589995,-0.004388 0.11835478,4.8486e-4 0.17689559,-0.007727 0.0452821,-0.002558 0.0920316,-0.008761 0.13292997,-0.0296799 0.0495136,-0.0206019 0.0702543,-0.0754087 0.082167,-0.12423165 -0.001544,-0.0316524 0.0363005,-0.0771322 0.0574533,-0.031946 0.009799,0.0468904 0.0124403,0.0957944 0.0257953,0.14199884 0.0103229,0.0424564 0.0381648,0.0821154 0.0814383,0.0955288 0.0230248,0.006738 0.0463641,0.0136174 0.0701731,0.01698" style="stroke:#888" />
  <path d="m 0.08766361,0.36678952 c 0.0463076,-0.0161779 0.0920382,-0.0420708 0.14283849,-0.0357173 0.0467333,-0.004581 0.0974621,0.0266481 0.14082991,-0.00179 0.0400306,-0.0301432 0.041483,-0.0866619 0.0490443,-0.13214834 0.003929,-0.030081 -0.00375,-0.0999028 0.0422392,-0.0879794 0.0291414,0.0376662 0.0177989,0.0902038 0.0319018,0.1336763 0.009362,0.0507676 0.0330856,0.10817744 0.0871312,0.12415282 0.0508722,0.0193263 0.0767224,0.0174745 0.11889504,0.0257316" style="stroke:#00f" />
  <path d="m 0.08912193,0.4046365 c 0.10169167,1.097e-5 0.2041028,3.5438e-4 0.3047905,-0.0155419 0.0458292,-0.008171 0.0971567,-0.0242812 0.12178371,-0.0670869 0.025388,-0.0534434 0.0183231,-0.11451516 0.0333489,-0.17061477 -0.003977,-0.0433016 0.0436224,-0.0993166 0.0831427,-0.0568712 0.0246552,0.0226559 0.0477548,0.0560862 0.0858377,0.0521295" style="stroke:#f00" />
  <path d="m 0.70840577,0.46185837 c -0.002849,8.248e-5 -0.0849355,0.001616 -0.0849355,0.001616" style="marker-start:url(#Aen)" />
  <path d="m 0.24465913,0.2858699 c 9.6794e-4,0.0147144 0.001383,0.0294673 0.002814,0.0441494" />
  <text x="100.15588" y="48.485607" transform="scale(0.00138889,0.00138889)"
    style="font-size:14px;text-anchor:start">
    <tspan x="100.15588" y="48.485607" id="tspan7010">WALKING BACK TO MY</tspan>
    <tspan x="100.15588" y="65.285591" id="tspan7012">FRONT DOOR AT NIGHT:</tspan></text>
  <rect width="0.24843951" height="0.065260872" x="0.12345294" y="0.039088331" />
  <text x="0.23551519" y="0.20231472"><tspan x="0.23551519" y="0.20231472">fear</tspan>
    <tspan x="0.23551519" y="0.22564805">ThAT there's</tspan>
    <tspan x="0.23551519" y="0.24898137">something</tspan>
    <tspan x="0.23551519" y="0.2723147">behing me</tspan></text>
  <text x="0.36015913" y="0.22917171"><tspan x="0.36015913" y="0.22917171">fORWarD</tspan>
    <tspan x="0.36015913" y="0.25250503">SPEED</tspan></text>
  <text x="0.37393194" y="0.46812996"><tspan x="0.37393194" y="0.46812996">yarD</tspan>
    <tspan x="0.45037103" y="0.46812996">step</tspan>
    <tspan x="0.52267832" y="0.46812996">door</tspan>
    <tspan x="0.58878779" y="0.46812996">inside</tspan></text>
  <text x="0.63905853" y="0.20506927">
    <tspan x="0.63905853" y="0.20506927">emBARRASSMENT</tspan></text>
</svg>
</body></html>


4

अजगर

Matplotlib में थोड़ा धोखा-वाई xkcd विधि का उपयोग करता है:

import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage.filters import gaussian_filter1d

plt.xkcd()

x = np.linspace(0,10,1000)
unit = np.linspace(0,1,100)

speed = np.r_[np.ones(500)*3,3+5*unit**4.,np.ones(100)*8,1+7*unit[::-1]**2,np.ones(200)]
speed = gaussian_filter1d(speed,18)

fear = np.r_[np.linspace(0.5,2,450),2+6*unit**4,np.ones(100)*8,8*unit[::-1]**2,np.zeros(250)+0.1]
fear = gaussian_filter1d(fear,18)
fear_gauss_bump = 0.8*np.exp(-np.power(x-2.5,2.)/(2*np.power(1, 2.)))
fear += fear_gauss_bump

embarrassment = np.r_[np.zeros(600)+0.1, 9.5*unit**2, 9.5-np.linspace(0,1.5,300)]
embarrassment = gaussian_filter1d(embarrassment,60)

plt.figure(figsize=(12,6))
plt.plot(x,speed,c="gray")
plt.plot(x,fear,c="#1E9FDB")
plt.plot(x,embarrassment,c="r")

plt.plot([2.5,2.7],[3.9,2.3],c='k')
plt.plot([4.3,4.5],[3.6,3.1],c='k')
plt.plot(np.linspace(7.3,7.8,15),(0.25-(np.linspace(7.3,7.8,15)-7.3)**2)**0.5+7,c='k')

ax = plt.gca()
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
#plt.ylim([0,10])
ax.set_xticks([6,7])
ax.set_xticklabels(["STEPS","DOOR"])
ax.set_yticks([])

ax.text(2,4,"FEAR\nTHAT THERE'S\nSOMETHING\nBEHIND ME",horizontalalignment='center')
ax.text(3.9,3.4,"FORWARD\nSPEED",horizontalalignment='center')
ax.text(7.4,6.6,"EMBARRASSMENT")
ax.text(1,8,"WALKING BACK TO MY\nFRONT DOOR AT NIGHT:",bbox={'facecolor':'none', 'edgecolor':'black'})
ax.annotate("YARD", xy=(0.5,-0.3), xytext=(4.5,-0.4),annotation_clip=False,arrowprops={'facecolor':'black', 'shrink':0.01, 'width':0.5})
ax.annotate("INSIDE", xy=(10,-0.3), xytext=(7.5,-0.4),annotation_clip=False,arrowprops={'facecolor':'black', 'shrink':0.01, 'width':0.5})

plt.show()

यहाँ छवि विवरण दर्ज करें

हमारी साइट का प्रयोग करके, आप स्वीकार करते हैं कि आपने हमारी Cookie Policy और निजता नीति को पढ़ और समझा लिया है।
Licensed under cc by-sa 3.0 with attribution required.