fast plot from data pairs python, matlab

fast_plot_from_data_pairs.m

fid = fopen('webplotdigitizer_output.csv');
output = textscan(fid,'%s %s', 'Delimiter', ';');
fclose(fid);
x = arrayfun(@(x) str2double(replace(x, ',', '.')), output{1});
y = arrayfun(@(x) str2double(replace(x, ',', '.')), output{2});
plot(x, y);

fast_plot_from_data_pairs.py

from numpy import array, diff, insert
from matplotlib import pyplot as plt
%matplotlib inline
xy = array([line.split(';') for line in """5,163473945750054; 59,3210849369608
6,229906792224906; 66,80865253338823
7,296339638699758; 75,11769786971149
8,36277248517461; 82,14739262750845
9,46798470788491; 89,3346495091871
10,412539514762635; 93,1247977419007
11,562071024599163; 98,75201645195978
12,628503871074013; 102,26686383085837
13,694936717548867; 106,31095834382074
14,761369564023717; 110,38737329245134
15,82780241049857; 113,70021794842467
16,89423525697342; 118,02307621902389
17,992984250311146; 120,88253698576511
19,027100949923124; 124,72956662014053
20,11590651345689; 128,72611279986063
21,243065306234502; 132,80390403077922
22,226399489347678; 136,97093162940757
23,29283233582253; 140,60698064206122
24,65011050406325; 145,89945198270152
25,7165433505381; 149,89910589662043
26,782976197012953; 154,50476797931492
27,849409043487807; 158,90842733908437
28,91584188996266; 162,4636752625679
29,982274736437507; 167,79654714779315
31,068097271030087; 172,70521331487544
32,039736086707165; 177,815882204883
33,181573275862064; 183,63356062512867
34,24800612233692; 189,12803468869424
35,31443896881177; 194,7841109305998
36,380871815286625; 200,11698281582505
37,447304661761464; 206,58106994943148
38,51373750823632; 212,277546735922
39,58017035471117; 219,10523877079385
40,646603201186025; 223,75130139807334
41,71303604766088; 229,44777818456407
42,77946889413573; 235,22505606022474
43,845901740610586; 240,1943230441846
44,912334587085425; 246,1332030981855
45,97876743356028; 251,66807770633602
47,04520028003513; 257,28375340365653
48,111633126509986; 262,41462256595656
49,17806597298484; 269,12111296707326
50,18217482193843; 273,6488597137823
51,31093166593455; 279,4636523808435
52,36766966835053; 284,78440410269326
53,44379735888424; 291,3818130334302
54,51023020535909; 297,03788927533583
55,57666305183395; 302,1687584376359
56,6430958983088; 308,91564938333755
57,709528744783654; 314,5717256252432
58,77596159125851; 320,0661996888086
59,86316910357377; 324,8825217539823
60,9088272842082; 332,1459625197355
61,936480754447615; 337,89091995972825
63,012608444981325; 343,5793166373018
64,10812582363276; 349,70673256603294
65,17455867010761; 356,1842865478343
66,24099151658247; 362,04236551266507
67,27106869783658; 367,9105446136421
68,37385720953216; 374,8897386907078
69,44029005600702; 382,36383943894015
70,50672290248187; 388,30271949294104
71,57315574895672; 395,9788229640986
72,63958859543158; 402,48331064229
73,70602144190643; 410,3614168363728
74,77245428838128; 417,9971197629454
75,83888713485612; 426,15802976912346
76,90531998133098; 434,6421441319818
77,97175282780583; 442,64145195981973
78,94123723369206; 450,7799172190061
79,86917230789744; 457,50596661392973
80,97715448605314; 467,164582522939
82,04358733252799; 477,26471866919894
83,11002017900284; 486,67804555751326
84,12797880518339; 496,54385854518
85,14593743136392; 505,58550042331194
86,21237027783877; 515,726037114157
87,27880312431363; 524,937361279546
88,34523597078848; 534,7950941582958
89,44398496412622; 543,8212491610035
90,47810166373819; 551,0361130814819
91,54453451021304; 558,6718160080544
92,61096735668788; 563,6006824474293
93,67740020316273; 568,8123526988994
94,69535882934328; 573,5594166876416
""".replace(',','.').split('\n') if len(line)>0],
     dtype=float)
x, y = xy[:,0], xy[:,1]
dx = insert(diff(x), 0, 0)
plt.plot(dx, y)

webplotdigitizer_output.csv