SVG chart generated through D3 not crispy - d3.js
I'm having some troubles to make my line chart looking crispy. I don't understand why is that. The code associated to the generation of the chart is a bit too long to share it here, so I created a JSFiddle with the result only.
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transform="translate(0,364)" style="opacity: 1;"><line x2="914" y2="0"></line><text x="5" y="-5" style="text-anchor: start;"></text></g><g class="tick base-line" transform="translate(0,245)" style="opacity: 1;"><line x2="914" y2="0"></line><text x="5" y="-5" style="text-anchor: start;"></text></g><g class="tick" transform="translate(0,126)" style="opacity: 1;"><line x2="914" y2="0"></line><text x="5" y="-5" style="text-anchor: start;"></text></g></g></svg>
https://jsfiddle.net/gqtuocbw/
I tried multiple stuff, like
shape-rendering="auto"
shape-rendering="geometricPrecision"
But nothing works for me, and when I see this http://bl.ocks.org/mbostock/4060954 I can't understand the issue.
When I will understand the underlying problem, I will update my post with examples that makes it more relevant for future readers.
Cheers.
EDIT (SOLUTION + EXPLANATIONS):
Find out in the following JSFiddle the resolved issue: https://jsfiddle.net/cf35rfy2/1/
So the problem was because of rangeRound() used with a simple interpolation('basis')
And the doc says:
linear.rangeRound(values)
Sets the scale's output range to the specified array of values, while also setting the scale's interpolator to d3.interpolateRound. This is a convenience routine for when the values output by the scale should be exact integers, such as to avoid antialiasing artifacts. It is also possible to round the output values manually after the scale is applied.
I guess that I should have used it with interpolateRound function.
Hope this will help someone. Don't hesitate to correct me if I said something wrong here; but anyhow this solved my issue (thanks to squeamish ossifrage answers)
I'm not sure what you mean by "crispy", but your jsfiddle example looks quite pixellated to me. It's quite easy to see why this is happening. Here's an excerpt from the d attribute of the first <path> element:
L944,324 L939,324 L934,325 L929,325 L924,326 L919,327 L914,327 L909,328 L904,329
L900,329 L895,330 L890,330
As you can see, the coordinates all have integer values, and the Y coordinate only changes intermittently. The result is a line that consists of many horizontal segments with little vertical jumps between each segment and the next. If you change these coordinates to floating point values with a couple of digits after the decimal point, then your lines will be smoother.
Here's an example:
<svg width="400" height="100" viewBox="0 0 200 50">
<g fill="none" stroke-width="2px">
<!-- Grey path with integer Y coordinates -->
<path d="M5 33 7 32 9 32 11 32 13 31 15 31 17 31 19 31 21 30 23 30 25 30 27 29 29 29 31 29
33 28 35 28 37 28 39 28 41 27 43 27 45 27 47 26 49 26 51 26 53 25 55 25 57 25 59
25 61 24 63 24 65 24 67 23 69 23 71 23 73 23 75 22 77 22 79 22 81 21 83 21 85 21
87 20 89 20 91 20 93 20 95 19 97 19 99 19 101 18 103 18 105 18 107 18 109 17 111
17 113 17 115 16 117 16 119 16 121 15 123 15 125 15 127 15 129 14 131 14 133 14
135 13 137 13 139 13 141 12 143 12 145 12 147 12 149 11 151 11 153 11 155 10 157
10 159 10 161 10 163 9 165 9 167 9 169 8 171 8 173 8 175 7 177 7 179 7 181 7 183
6 185 6 187 6 189 5 191 5 193 5 195 5 197 4 199 4" stroke="#888"/>
<!-- Blue path with floating-point Y coordinates -->
<path d="M5 43.12 7 42.82 9 42.52 11 42.23 13 41.93 15 41.64 17 41.34 19 41.05 21 40.75 23
40.45 25 40.16 27 39.86 29 39.57 31 39.27 33 38.98 35 38.68 37 38.38 39 38.09 41
37.79 43 37.50 45 37.20 47 36.90 49 36.61 51 36.31 53 36.02 55 35.72 57 35.43 59
35.13 61 34.83 63 34.54 65 34.24 67 33.95 69 33.65 71 33.36 73 33.06 75 32.76 77
32.47 79 32.17 81 31.88 83 31.58 85 31.29 87 30.99 89 30.69 91 30.40 93 30.10 95
29.81 97 29.51 99 29.21 101 28.92 103 28.62 105 28.33 107 28.03 109 27.74 111
27.44 113 27.14 115 26.85 117 26.55 119 26.26 121 25.96 123 25.67 125 25.37 127
25.07 129 24.78 131 24.48 133 24.19 135 23.89 137 23.60 139 23.30 141 23.00 143
22.71 145 22.41 147 22.12 149 21.82 151 21.52 153 21.23 155 20.93 157 20.64 159
20.34 161 20.05 163 19.75 165 19.45 167 19.16 169 18.86 171 18.57 173 18.27 175
17.98 177 17.68 179 17.38 181 17.09 183 16.79 185 16.50 187 16.20 189 15.91 191
15.61 193 15.31 195 15.02 197 14.72 199 14.43" stroke="#44c"/>
</g>
</svg>
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Issue displaying inline SVG as src attribute to <img> tag [duplicate]
This question already has answers here: SVG data image not working as a background-image in a pseudo element (4 answers) Closed last year. SVG alone works, but not as inline with src attribute to <img> tag. <img src='data:image/svg+xml;charset=utf-8,<svg width="19" height="19" viewBox="0 0 19 19" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 9.14453C0 9.60156 0.175781 10.0234 0.492188 10.3398L7.91016 17.7578C8.57812 18.4258 9.66797 18.4258 10.3008 17.7578L17.4727 10.5859C18.1406 9.95312 18.1406 8.86328 17.4727 8.19531L10.0547 0.777344C9.73828 0.460938 9.31641 0.25 8.85938 0.25H1.6875C0.738281 0.25 0 1.02344 0 1.9375V9.14453ZM3.9375 2.5C4.85156 2.5 5.625 3.27344 5.625 4.1875C5.625 5.13672 4.85156 5.875 3.9375 5.875C2.98828 5.875 2.25 5.13672 2.25 4.1875C2.25 3.27344 2.98828 2.5 3.9375 2.5Z" fill="#D40026"/></svg>'/>
You have to escape all characters that can be used in a URI In modern browsers you only need to escape the # character in SVG That means #D40026 needs to become %23D40026 See: https://yoksel.github.io/url-encoder/ <svg width="19" height="19" viewBox="0 0 190 190" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M0 91C0 96 2 100 5 103L79 178C86 184 97 184 103 178L175 106C181 100 181 89 175 82L101 8C97 5 93 3 89 3H17C7 3 0 10 0 19V91ZM39 25C49 25 56 33 56 42 56 51 49 59 39 59 30 59 23 51 23 42 23 33 30 25 39 25Z" fill="#D40026"/> </svg> <img src='data:image/svg+xml;charset=utf-8,<svg width="19" height="19" viewBox="0 0 190 190" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 91C0 96 2 100 5 103L79 178C86 184 97 184 103 178L175 106C181 100 181 89 175 82L101 8C97 5 93 3 89 3H17C7 3 0 10 0 19V91ZM39 25C49 25 56 33 56 42 56 51 49 59 39 59 30 59 23 51 23 42 23 33 30 25 39 25Z" fill="firebrick"/></svg>'/> <img src='data:image/svg+xml;charset=utf-8,<svg width="19" height="19" viewBox="0 0 190 190" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M0 91C0 96 2 100 5 103L79 178C86 184 97 184 103 178L175 106C181 100 181 89 175 82L101 8C97 5 93 3 89 3H17C7 3 0 10 0 19V91ZM39 25C49 25 56 33 56 42 56 51 49 59 39 59 30 59 23 51 23 42 23 33 30 25 39 25Z" fill="%23D40026"/></svg>'/>
Keep lines based on ratio between lines
I have a sort -g k9 command on a file that gives me this in the bash standard output: 55.19 645 156 15 9 520 58 702 0.0 661 55.50 636 159 16 9 520 58 693 0.0 654 55.19 645 156 15 9 520 58 702 0.0 658 56.52 644 147 16 9 520 59 701 0.0 669 55.97 645 151 15 9 520 65 709 0.0 672 55.97 645 151 15 9 520 65 709 4e-124 674 28.32 671 301 32 1 507 48 702 3e-49 183 28.32 671 301 32 1 507 47 701 3e-49 183 31.40 516 247 24 86 507 196 698 1e-46 176 31.41 519 243 25 86 507 196 698 5e-46 175 27.72 588 290 26 19 481 98 675 2e-39 154 30.56 337 170 17 101 413 302 598 5e-20 96.3 30.56 337 170 17 101 413 302 598 8e-20 95.5 I would like to cut my data based on the 9th column. The idea would be to compare the value of the 9th column on line i, divide it by the value of the 9th column on line i+1, and if the ratio is 0 OR 0/0 OR > 1e-50, line i and i+1 are kept. As soon as one of these conditions is not filled, stop reading. The desired output would be: 55.19 645 156 15 9 520 58 702 0.0 661 55.50 636 159 16 9 520 58 693 0.0 654 55.19 645 156 15 9 520 58 702 0.0 658 56.52 644 147 16 9 520 59 701 0.0 669 55.97 645 151 15 9 520 65 709 0.0 672 55.97 645 151 15 9 520 65 709 4e-124 674 I can obtain this output with head -n 6 but this is obviously not based on the condition on values in the 9th column. Please note that the values are in 'scientific' format. I know how to do this in Python (write the standard output to a file, calculate ratios, etc.) but for commodity reasons I'd prefer a shell-based solution (with awk or sort for instance) although I don't know if that's possible. Thanks for your help!
Just exit the script when the condition is not accomplished; otherwise, print the previous line and store the 9th field to compare on the next loop:
$ awk '($9 && prev/$9>1e-50) {exit} {print stored; prev=$9; stored=$0}' file
55.19 645 156 15 9 520 58 702 0.0 661
55.50 636 159 16 9 520 58 693 0.0 654
55.19 645 156 15 9 520 58 702 0.0 658
56.52 644 147 16 9 520 59 701 0.0 669
55.97 645 151 15 9 520 65 709 0.0 672
55.97 645 151 15 9 520 65 709 4e-124 674
Parsing the wbxml get from Exchange2013 server
Below is a full section of bytes stream I got from Exchange2013 server after sending activesync command 'itemoperations' from iPhone. 31 139 8 0 0 0 0 0 4 0 237 189 7 96 28 73 150 37 38 47 109 202 123 127 74 245 74 215 224 116 161 8 128 96 19 36 216 144 64 16 236 193 136 205 230 146 236 29 105 71 35 41 171 42 129 202 101 86 101 93 102 22 64 204 237 157 188 247 222 123 239 189 247 222 123 239 189 247 186 59 157 78 39 247 223 255 63 92 102 100 1 108 246 206 74 218 201 158 33 128 170 200 31 63 126 124 31 63 34 126 237 95 243 167 127 141 95 227 183 58 253 226 215 222 253 53 126 205 23 207 248 199 175 241 155 255 196 175 125 255 119 191 151 61 220 167 127 240 247 111 245 123 253 26 191 249 119 127 237 54 127 215 222 93 149 89 177 196 71 207 127 237 215 95 61 124 253 229 79 31 191 251 226 233 233 15 126 234 167 143 175 190 248 233 183 87 95 60 61 198 255 119 190 124 243 19 59 47 62 255 226 7 191 207 155 159 250 233 23 139 223 231 222 139 167 211 221 23 63 248 226 250 167 126 250 247 217 161 191 247 126 234 233 239 115 255 197 226 171 189 159 250 233 239 44 94 252 244 23 244 115 122 253 226 167 207 246 190 120 67 127 63 125 187 67 237 174 95 44 78 247 94 188 249 125 126 240 226 7 63 177 75 144 232 253 179 123 47 126 154 127 18 220 47 222 125 177 248 234 7 218 159 254 255 212 251 221 252 127 26 126 255 6 248 30 95 253 212 27 243 25 193 249 193 219 31 124 241 211 223 41 191 248 193 233 15 8 151 125 134 251 70 254 254 242 233 23 215 95 60 125 50 255 125 246 126 159 61 250 219 194 122 241 148 218 253 128 218 253 244 23 192 237 7 47 8 159 23 63 125 122 77 227 218 37 24 10 231 39 8 206 23 87 244 61 189 251 157 183 47 126 250 43 140 135 218 31 83 59 124 126 76 99 195 223 103 123 47 208 15 141 235 139 31 224 221 51 130 71 125 124 206 116 217 121 241 131 175 238 125 241 131 87 229 139 207 127 31 162 171 224 255 133 197 95 255 14 199 255 238 133 163 129 155 31 249 158 254 254 170 67 163 83 31 30 254 255 217 175 241 107 226 249 127 0 225 220 243 27 28 2 0 0 I don't know why it is not normal and expect it sholud start like this: 3 1 106 0 0 20 69 77 3 49 0 1 78 70 77 3 49 0 1 0 17 81 3 82 103 65 65 65 65 65 117 50 72 120 85 112 65 .......... I think the response must have been encrypted, but what's the encryption algorithm? Will be very appreciated for any ideas.
I have got the answer, the stream 31 139 8 0 0 0 0 0 4 0 237 189 7 96 28 73 150 37 ...... has been compressed by Gzip
R compare all list elements for duplicates
I am looking at all possible paths through a graph. I have written a DFS algorithm that finds all these paths. I want to make sure that my algorithm works correctly and that no two paths are identical. My algorithm returns a list that looks as follows: .... [[2770]] [1] 1 2 3 52 53 54 55 56 57 58 59 60 12 11 10 9 8 78 79 80 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 [38] 130 131 132 133 134 137 138 139 140 141 142 143 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 [[2771]] [1] 1 2 3 52 53 54 55 56 57 58 59 60 12 11 10 9 8 78 79 80 113 114 115 143 144 145 146 147 148 149 150 151 152 153 154 155 156 [38] 157 158 159 160 161 162 163 164 165 166 [[2772]] [1] 1 2 3 52 53 54 55 56 57 58 59 60 12 11 10 9 8 78 79 80 113 114 115 143 150 151 152 153 154 155 156 157 158 159 160 161 162 [38] 163 164 165 166 As you can see, the list is 2772 elements long. This means there are 2,772 paths through this graph. How can I easily compare all the list elements to make sure there are no duplicates. Just to be clear, the same set of numbers but in a different ordering represents a different path and is not a duplicate! Thank you for your help!
maybe something like test<-list(1:2,3:4,5:7,1:10,3:4,4:3) dups<-duplicated(test) idups<-seq_along(test)[dups]
data.frame to spatial polygone data frame
I have this data.frame
data <- read.table(text="Id x y valecolo valecono
1 1 12.18255221 29.406365240 4 990
2 2 9.05893970 20.923087170 4 1090
3 3 1.11192442 2.460411416 0 420
4 4 15.51290096 27.185287490 16 1320
5 5 20.41913438 32.166268590 13 1050
6 6 12.75939095 17.552435030 60 1010
7 7 28.06853355 30.839057830 12 1030
8 8 6.96288868 7.177616682 33 1010
9 9 30.60527190 20.792242110 23 640
10 10 12.07646283 7.658266843 19 810
11 11 10.42878294 5.520913954 0 700
12 12 23.61674977 11.111217320 0 838
13 13 27.16148898 12.259423750 11 1330
14 14 28.00931750 6.258448426 20 777
15 15 20.79999922 -0.000877298 4 630
16 16 21.59999968 -0.005502197 38 830
17 17 19.46122172 -1.229166015 7 740
18 18 28.20370719 -6.305622777 12 660
19 19 29.94840042 -7.192584050 0 1030
20 20 29.28601258 -12.133404940 10 870
21 21 5.88104817 -3.608777319 0 1050
22 22 30.37845976 -26.784308510 0 900
23 23 13.68270042 -12.451253320 0 300
24 24 26.01871530 -26.024342420 22 1330
25 25 20.17735764 -20.829648070 21 1190
26 26 5.04404016 -5.550464740 7 1030
27 27 17.98312114 -26.468988540 0 1200
28 28 8.50660753 -12.957145840 9 850
29 29 10.79633248 -18.938827100 36 1200
30 30 13.36599497 -28.413203870 7 1240
31 31 10.77987946 -28.531459810 0 350
32 32 8.35194396 -24.410755680 28 910
33 33 1.55014408 -12.302725060 10 980
34 34 -0.00388992 -17.899999200 12 1120
35 35 -2.82062504 -16.155620130 12 450
36 36 -4.75903628 -22.962014490 20 920
37 37 -6.07839546 -15.339592840 28 840
38 38 -11.32647798 -24.068047630 0 665
39 39 -11.88138209 -24.245262620 12 1180
40 40 -14.06823800 -25.587589260 36 350
41 41 -10.92180227 -18.461223360 7 1180
42 42 -12.48843186 -20.377660600 0 400
43 43 -18.63696964 -27.415068190 18 1220
44 44 -16.73351789 -23.807549250 0 500
45 45 -22.49024869 -29.944803740 7 1040
46 46 -22.66130064 -27.391018580 0 500
47 47 -15.26565038 -17.866446720 16 1060
48 48 -24.20192852 -23.451155780 0 600
49 49 -21.39663774 -20.089958090 0 750
50 50 -12.33344998 -9.875526199 16 980
51 51 -30.94772590 -22.478895910 0 790
52 52 -24.85783868 -15.225318840 25 720
53 53 -2.44485324 -1.145728097 54 970
54 54 -24.67985433 -7.169018707 4 500
55 55 -30.82457650 -7.398346555 4 750
56 56 -23.56898920 -5.265475270 4 760
57 57 -3.91708603 -0.810208045 0 350
58 58 -26.86563675 -4.251776497 0 440
59 59 -26.64738877 -1.675324623 8 450
60 60 -8.79897138 -0.134558536 11 830
61 61 -21.78250663 1.716077388 0 920
62 62 -28.98396759 6.007465815 24 980
63 63 -34.61607994 8.311853049 8 500
64 64 -25.63850107 7.453677191 15 880
65 65 -22.98762116 11.266290120 11 830
66 66 -33.48522130 19.100848030 0 350
67 67 -25.53096486 16.777135830 21 740
68 68 -18.95412327 15.681238150 0 300
69 69 -8.94874230 8.144324435 0 500
70 70 -10.91433241 10.579099310 4 750
71 71 -13.44807236 14.327310800 0 1090
72 72 -16.24086139 20.940019610 0 500
73 73 -17.51162097 24.111886810 0 940
74 74 -12.47496424 18.363422910 0 1020
75 75 -17.76118016 27.990410510 0 660
76 76 -5.54534556 9.730834410 0 850
77 77 -11.30971858 29.934766840 0 950
78 78 -10.38743785 27.493148220 0 740
79 79 -8.61491396 25.166312360 0 950
80 80 -3.40550077 14.197273530 0 710
81 81 -0.77957621 3.770246702 0 750
82 82 -3.01234325 21.186924550 0 1200
83 83 -2.05241931 32.685624900 0 1200
84 84 -2.26900366 36.128820600 0 970
85 85 0.82954518 5.790885396 0 850
86 86 22.08151130 19.671119440 19 870
87 87 12.60107972 23.864904860 0 1260
88 88 9.78406607 26.163968270 0 600
89 89 11.69995152 33.091322170 0 1090
90 90 20.64705880 -16.439632140 0 840
91 91 24.68314851 -21.314655730 0 1561
92 92 30.33133300 -27.235396100 0 1117
93 93 -26.24691654 -22.405635470 0 1040
94 94 -21.68016500 -24.458519270 10 1000
95 95 -1.57455856 -30.874986140 0 500
96 96 -29.75642086 -5.610894981 0 350
97 97 -3.66771076 26.448084810 0 900
98 98 -26.54457307 29.824419350 0 1050
99 99 -17.90426678 18.751297440 0 200
100 100 10.22894253 -6.274450952 0 880")
And I would like to create a visualization with the polygons of thiessen, then colorize the polygons according to their "valecono" value.
I tried this:
> library(deldir)
> z <- deldir(x,y,rw=c(-34.51608,30.7052719,-30.774986,36.2288206))
> w <- tile.list(z)
> plot(w, fillcol=data$valecono, close=TRUE)
Which seems weird to me, and I'm not sure how R attributed these colors.
Do you have any other suggestions for this case?
I also tried to convert my data.frame in SpatialPolygonsDataFrame, what I did not manage. I tried to convert my data.frame into SpatialPointsDataFrame, which was not a problem, but was not very useful, because I did not find how to convert it then to a SpatialPointsDataFrame.
spdf <- SpatialPointsDataFrame(coords = coords, data = data,
proj4string = CRS("+proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0"))
I try all this because I think that with a SpatialPointsDataFrame, it would be easier to have this visualization of polygons with colors according to the valecono of the points.
You can do library(dismo) coordinates(data) <- ~x + y v <- voronoi(data) spplot(v, "valecolo") With base plot s <- (floor(sort(v$valecono)/400) + 1) plot(v, col=rainbow(60)[v$valecolo+1]) points(data, cex=s/2, col=gray((1:4)/4)[s])