How do I parse this CSV with JavaScript?
如何用JavaScript解析CSV ?
1363085391,42.890000000000,5.4322000000001363088879,47.570000000000,4.9818000000001363120475,56.560000000000,1.7680000000001363132522,53.000000000000,1.0000000000001363214378,48.630000000000,4.000000000000[...]It shows the bitcoin price and trade volume history for the Canadian dollar. However, the list is too massive; it shows every trade ever done. So I'm trying to reduce it from hundreds of data points a day to one per week. Basically "monotizing" the data points into time span intervals by adding up the volume and averaging the price. This way, with simpler data, the line in my line chart is expected to look a whole lot better.
它显示了加拿大元的比特币价格和交易量历史。然而，这份名单太过庞大;它显示了每一笔交易。所以我试着把它从每天几百个数据点减少到每周一个。基本上就是把数据点“集中”成时间间隔，通过增加体积和平均价格。通过这种方式，使用更简单的数据，我的折线图中的线看起来会好得多。
Unfortunately the script won't work; it assumes the CSV is a two-dimensional array, but in reality I think it's only one-dimensional? How do I change it so it parses the CSV properly?
不幸的是，脚本无法工作;它假设CSV是一个二维数组，但实际上我认为它只是一维的?如何修改它，使它能正确解析CSV ?
function simplifyData(data_set) { interval_length = 3600; // hourly intervals last_price = 0; idx = 0; while (idx < data_set.length) { // reset value for this interval volume = 0; price_sum = 0; count = 0; timestamp = data_set[idx]['timestamp'] + interval_length; // get sums for this interval while (data_set[idx]['timetamp'] < timestamp) { volume += data_set[idx]['volume']; price_sum += data_set[idx]['price']; count++; idx++; if (idx >= data_set.length) break; } // get average price price = count > 0 ? price_sum / count : last_price; last_price = price; // add new row to monotized data array monotized_data.append([ timestamp: timestamp, volume: volume, price: price ]); }}// Format: time (UNIX timestamp), price, amount traded// http://api.bitcoincharts.com/v1/csv/localbtcCAD.csv.gzvar complexCadCsv = 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finalOutput = simplifyData(complexCadCsv);$(".new_csv").append(finalOutput);<!--<script src="https://rawgit.com/evanplaice/jquery-csv/master/src/jquery.csv.min.js"></script>--><script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script><h1>New simplified CSV</h1><div class="new_csv"></div>1 个解决方案
#1
2
data_set is a string, but simplifyData() is access it as if it's an array of objects. You need to convert it first.
data_set是一个字符串，但是simplifyData()访问它就好像它是一个对象数组。你需要先转换它。
data_set = data_set.split('\n').map(line => { var linearray = line.split(','); return { timestamp: parseInt(linearray[0], 10), price: parseFloat(linearray[1]), volume: parseFloat(linearray[2]) };});And in your call to monotized_data.append, you have square brackets when you should have curly braces, and you should be calling push()
在对monotized_data的调用中。追加，方括号应该是花括号，应该是push()
monotized_data.push({ timestamp: timestamp, volume: volume, price: price });function simplifyData(data_set) { interval_length = 3600; // hourly intervals last_price = 0; idx = 0; monotized_data = [] while (idx < data_set.length) { // reset value for this interval volume = 0; price_sum = 0; count = 0; // Format: time (UNIX timestamp), price, amount traded // timestamp: data_set[idx][0] // price: data_set[idx][1] // volume: data_set[idx][2] timestamp = data_set[idx][0] + interval_length; // get sums for this interval while (data_set[idx][0] < timestamp) { volume += data_set[idx][2]; price_sum += data_set[idx][1]; count++; idx++; if (idx >= data_set.length) break; } // get average price price = count > 0 ? price_sum / count : last_price; last_price = price; // add new row to monotized data array monotized_data.push({ timestamp: timestamp, volume: volume, price: price }); }}// Format: time (UNIX timestamp), price, amount traded// http://api.bitcoincharts.com/v1/csv/localbtcCAD.csv.gzvar complexCadCsv = `1363085391,42.890000000000,5.4322000000001363088879, 47.570000000000, 4.9818000000001363120475, 56.560000000000, 1.7680000000001363132522, 53.000000000000, 1.0000000000001363214378, 48.630000000000, 4.0000000000001363217281, 48.770000000000, 2.0002000000001363223157, 48.860000000000, 2.0465000000001363232051, 49.110000000000, 4.2355000000001363272551, 54.250000000000, 1.0000000000001363283662, 49.780000000000, 5.9256000000001363293072, 55.500000000000, 1.0270000000001363321440, 56.000000000000, 5.3571000000001363346950, 55.220000000000, 7.0169000000001363379555, 55.600000000000, 4.9459000000001363379607, 55.740000000000, 1.0000000000001363381362, 49.220000000000, 0.1016000000001363382662, 49.220000000000, 4.8961000000001363391161, 55.380000000000, 2.0000000000001363401704, 56.060000000000, 1.0000000000001363467393, 56.000000000000, 0.8929000000001363496639, 56.700000000000, 1.5001000000001363524530, 56.930000000000, 6.0001000000001363527377, 56.900000000000, 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5.4582000000001365105565, 139.710000000000, 1.2500000000001365138055, 145.850000000000, 1.8499000000001365167322, 166.250000000000, 0.6015000000001365173858, 146.080000000000, 1.9999000000001365174283, 148.260000000000, 0.1349000000001365183486, 149.890000000000, 3.0001000000001365184905, 161.740000000000, 2.0001000000001365205476, 152.790000000000, 1.0000000000001365210365, 175.000000000000, 1.0000000000001365219395, 150.960000000000, 0.9997000000001365220927, 150.910000000000, 1.0000000000001365268452, 153.390000000000, 0.6520000000001365272285, 170.000000000000, 1.0000000000001365274795, 170.000000000000, 1.0000000000001365278764, 170.000000000000, 1.0000000000001365278930, 154.030000000000, 0.5194000000001365280374, 170.000000000000, 1.0000000000001365281909, 154.560000000000, 0.6500000000001365283450, 170.000000000000, 1.0000000000001365287835, 170.000000000000, 1.5412000000001365303267, 153.940000000000, 3.5001000000001365312742, 155.620000000000, 0.1285000000001365325139, 161.570000000000, 3.0000000000001365349680, 169.230000000000, 2.0000000000001365354798, 138.110000000000, 1.0100000000001365356226, 180.190000000000, 1.6649000000001365362290, 174.010000000000, 0.2873000000001365377549, 173.640000000000, 2.0000000000001365379774, 175.010000000000, 1.0000000000001365384562, 179.980000000000, 2.2225000000001365396478, 183.290000000000, 2.0000000000001365434139, 203.850000000000, 0.0981000000001365434614, 208.360000000000, 1.0000000000001365437520, 197.620000000000, 2.0000000000001365440837, 195.520000000000, 4.0000000000001365449254, 197.610000000000, 4.0000000000001365467994, 202.160000000000, 2.9905000000001365469985, 202.160000000000, 1.5002000000001365478982, 206.360000000000, 0.9977000000001365479416, 206.220000000000, 1.0000000000001365479554, 203.290000000000, 1.0000000000001365486039, 207.860000000000, 0.4653000000001365500973, 219.210000000000, 2.2809000000001365518766, 228.930000000000, 1.9701000000001365518846, 225.910000000000, 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250.000000000000, 1.9440000000001365629291, 253.640000000000, 1.1828000000001365642148, 151.740000000000, 2.0000000000001365642413, 141.270000000000, 2.0000000000001365678778, 188.540000000000, 3.9931000000001365703940, 148.580000000000, 4.4554000000001365716351, 151.650000000000, 0.6800000000001365717197, 136.400000000000, 1.0000000000001365717771, 122.450000000000, 1.9518000000001365724442, 124.000000000000, 2.0000000000001365773281, 117.460000000000, 1.2515000000001365773887, 121.000000000000, 1.9918000000001365776714, 122.360000000000, 2.2311000000001365795875, 114.590000000000, 1.0000000000001365796323, 115.000000000000, 2.0000000000001365798963, 106.190000000000, 2.0000000000001365802678, 106.180000000000, 1.0000000000001365804038, 111.410000000000, 1.7900000000001365810280, 109.980000000000, 1.5000000000001365811712, 115.000000000000, 2.0000000000001365813104, 109.970000000000, 1.0000000000001365816966, 165.200000000000, 3.0266000000001365819572, 150.000000000000, 1.0667000000001365820699, 128.730000000000, 1.6499000000001365823425, 124.060000000000, 3.2244000000001365826775, 150.000000000000, 1.0667000000001365877655, 150.000000000000, 2.0000000000001365878739, 159.330000000000, 2.0085000000001365884739, 150.000000000000, 4.0000000000001365888397, 150.000000000000, 3.0000000000001365956959, 150.000000000000, 5.3300000000001365961896, 140.000000000000, 0.5357000000001365979939, 142.140000000000, 1.0000000000001365991144, 128.990000000000, 2.0000000000001365993080, 150.000000000000, 1.3333000000001366014910, 135.000000000000, 4.4444000000001366022593, 149.640000000000, 0.4678000000001366044482, 123.500000000000, 3.0291000000001366045307, 119.750000000000, 1.0021000000001366048928, 119.750000000000, 0.6681000000001366055142, 109.990000000000, 0.1818000000001366062216, 109.480000000000, 1.0800000000001366065512, 100.000000000000, 0.1810000000001366085870, 88.150000000000, 1.0000000000001366085948, 91.540000000000, 0.4369000000001366097421, 74.700000000000, 10.4953000000001366129928, 96.000000000000, 2.0833000000001366130124, 99.720000000000, 4.0000000000001366133447, 99.890000000000, 1.0000000000001366135520, 103.730000000000, 1.1000000000001366138028, 95.390000000000, 1.1000000000001366144237, 69.480000000000, 1.5113000000001366145377, 75.000000000000, 2.5867000000001366155682, 89.800000000000, 2.0000000000001366158005, 88.800000000000, 1.0000000000001366158456, 89.800000000000, 1.9933000000001366164776, 94.000000000000, 2.0000000000001366173698, 102.640000000000, 1.9974000000001366198863, 103.450000000000, 1.9914000000001366211035, 102.450000000000, 2.1962000000001366218782, 94.000000000000, 3.0000000000001366225431, 94.000000000000, 2.0426000000001366233216, 214.470000000000, 1.0000000000001366318951, 108.730000000000, 0.9197000000001366387777, 129.690000000000, 1.9822000000001366394307, 135.420000000000, 0.1846000000001366413885, 134.140000000000, 0.2982000000001366551162, 136.710000000000, 0.1296000000001366553999, 140.700000000000, 2.4875000000001366620334, 137.830000000000, 0.4208000000001366671189, 107.380000000000, 1.5000000000001366684569, 141.740000000000, 1.0000000000001366686872, 142.090000000000, 1.0556000000001366687106, 142.130000000000, 1.7590000000001366746322, 148.230000000000, 3.3731000000001366825778, 159.250000000000, 0.1256000000001366903154, 166.040000000000, 1.5400000000001366903247, 168.230000000000, 0.1189000000001366906417, 165.440000000000, 1.5883000000001366906495, 166.300000000000, 1.0000000000001366912064, 164.670000000000, 2.1300000000001366914573, 164.820000000000, 0.1820000000001366978559, 143.290000000000, 1.3958000000001367001597, 144.390000000000, 1.0389000000001367002599, 165.650000000000, 1.0000000000001367024672, 142.890000000000, 0.8100000000001367027540, 144.780000000000, 1.4505000000001367027692, 146.310000000000, 2.0000000000001367029695, 143.800000000000, 0.7500000000001367034952, 143.800000000000, 3.1295000000001367043181, 143.710000000000, 2.2615000000001367085501, 141.190000000000, 1.4166000000001367100612, 155.680000000000, 1.2819000000001367182014, 170.140000000000, 1.0000000000001367182173, 169.720000000000, 1.1195000000001367186205, 170.710000000000, 1.0000000000001367275779, 153.550000000000, 1.4653000000001367289143, 198.350000000000, 6.0499000000001367323428, 197.180000000000, 7.0000000000001367331486, 155.660000000000, 1.6060000000001367348392, 189.950000000000, 5.2646000000001367351603, 146.060000000000, 2.9988000000001367356384, 188.010000000000, 7.1380000000001367364586, 167.170000000000, 0.1795000000001367364740, 191.010000000000, 7.8530000000001367378952, 165.000000000000, 1.8182000000001367423338, 142.430000000000, 3.9319000000001367446179, 133.240000000000, 2.2516000000001367457397, 131.820000000000, 1.2734000000001367474137, 129.410000000000, 0.3900000000001367506472, 125.970000000000, 0.0794000000001367517588, 112.580000000000, 4.4414000000001367534445, 116.880000000000, 0.1711000000001367562381, 108.910000000000, 0.5509000000001367591999, 106.120000000000, 0.4712000000001367595257, 104.460000000000, 0.4786000000001367599098, 144.030000000000, 1.0415000000001367604271, 99.230000000000, 2.9627000000001367625410, 103.810000000000, 2.022900000000`// Parse the multi-line CSV string above into a 2D arrayvar complexCadCsvArray = $.csv.toArrays(complexCadCsv);// jquery-csv `toArrays` are strings, needs to be number// Trim whitespace and then convert to Numbervar complexCadCsvJsArrayNumbers = complexCadCsvArray.map(row => row.map(el => Number(el.trim())));// Reduce trade times to same-sized intervalssimplifyData(complexCadCsvJsArrayNumbers);$(".new_csv").text($.csv.fromObjects(monotized_data));// ----------$(".existing_csv").append(complexCadCsvArray);<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script><script src="https://rawgit.com/evanplaice/jquery-csv/master/src/jquery.csv.min.js"></script><h1>New simplified CSV</h1><pre class="new_csv"></pre><h1>Existing CSV run through <a href="https://github.com/evanplaice/jquery-csv">jquery-csv</a></h1><pre class="existing_csv"></pre>#1
2
data_set is a string, but simplifyData() is access it as if it's an array of objects. You need to convert it first.
data_set是一个字符串，但是simplifyData()访问它就好像它是一个对象数组。你需要先转换它。
data_set = data_set.split('\n').map(line => { var linearray = line.split(','); return { timestamp: parseInt(linearray[0], 10), price: parseFloat(linearray[1]), volume: parseFloat(linearray[2]) };});And in your call to monotized_data.append, you have square brackets when you should have curly braces, and you should be calling push()
在对monotized_data的调用中。追加，方括号应该是花括号，应该是push()
monotized_data.push({ timestamp: timestamp, volume: volume, price: price });function simplifyData(data_set) { interval_length = 3600; // hourly intervals last_price = 0; idx = 0; monotized_data = [] while (idx < data_set.length) { // reset value for this interval volume = 0; price_sum = 0; count = 0; // Format: time (UNIX timestamp), price, amount traded // timestamp: data_set[idx][0] // price: data_set[idx][1] // volume: data_set[idx][2] timestamp = data_set[idx][0] + interval_length; // get sums for this interval while (data_set[idx][0] < timestamp) { volume += data_set[idx][2]; price_sum += data_set[idx][1]; count++; idx++; if (idx >= data_set.length) break; } // get average price price = count > 0 ? price_sum / count : last_price; last_price = price; // add new row to monotized data array monotized_data.push({ timestamp: timestamp, volume: volume, price: price }); }}// Format: time (UNIX timestamp), price, amount traded// http://api.bitcoincharts.com/v1/csv/localbtcCAD.csv.gzvar complexCadCsv = `1363085391,42.890000000000,5.4322000000001363088879, 47.570000000000, 4.9818000000001363120475, 56.560000000000, 1.7680000000001363132522, 53.000000000000, 1.0000000000001363214378, 48.630000000000, 4.0000000000001363217281, 48.770000000000, 2.0002000000001363223157, 48.860000000000, 2.0465000000001363232051, 49.110000000000, 4.2355000000001363272551, 54.250000000000, 1.0000000000001363283662, 49.780000000000, 5.9256000000001363293072, 55.500000000000, 1.0270000000001363321440, 56.000000000000, 5.3571000000001363346950, 55.220000000000, 7.0169000000001363379555, 55.600000000000, 4.9459000000001363379607, 55.740000000000, 1.0000000000001363381362, 49.220000000000, 0.1016000000001363382662, 49.220000000000, 4.8961000000001363391161, 55.380000000000, 2.0000000000001363401704, 56.060000000000, 1.0000000000001363467393, 56.000000000000, 0.8929000000001363496639, 56.700000000000, 1.5001000000001363524530, 56.930000000000, 6.0001000000001363527377, 56.900000000000, 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5.4582000000001365105565, 139.710000000000, 1.2500000000001365138055, 145.850000000000, 1.8499000000001365167322, 166.250000000000, 0.6015000000001365173858, 146.080000000000, 1.9999000000001365174283, 148.260000000000, 0.1349000000001365183486, 149.890000000000, 3.0001000000001365184905, 161.740000000000, 2.0001000000001365205476, 152.790000000000, 1.0000000000001365210365, 175.000000000000, 1.0000000000001365219395, 150.960000000000, 0.9997000000001365220927, 150.910000000000, 1.0000000000001365268452, 153.390000000000, 0.6520000000001365272285, 170.000000000000, 1.0000000000001365274795, 170.000000000000, 1.0000000000001365278764, 170.000000000000, 1.0000000000001365278930, 154.030000000000, 0.5194000000001365280374, 170.000000000000, 1.0000000000001365281909, 154.560000000000, 0.6500000000001365283450, 170.000000000000, 1.0000000000001365287835, 170.000000000000, 1.5412000000001365303267, 153.940000000000, 3.5001000000001365312742, 155.620000000000, 0.1285000000001365325139, 161.570000000000, 3.0000000000001365349680, 169.230000000000, 2.0000000000001365354798, 138.110000000000, 1.0100000000001365356226, 180.190000000000, 1.6649000000001365362290, 174.010000000000, 0.2873000000001365377549, 173.640000000000, 2.0000000000001365379774, 175.010000000000, 1.0000000000001365384562, 179.980000000000, 2.2225000000001365396478, 183.290000000000, 2.0000000000001365434139, 203.850000000000, 0.0981000000001365434614, 208.360000000000, 1.0000000000001365437520, 197.620000000000, 2.0000000000001365440837, 195.520000000000, 4.0000000000001365449254, 197.610000000000, 4.0000000000001365467994, 202.160000000000, 2.9905000000001365469985, 202.160000000000, 1.5002000000001365478982, 206.360000000000, 0.9977000000001365479416, 206.220000000000, 1.0000000000001365479554, 203.290000000000, 1.0000000000001365486039, 207.860000000000, 0.4653000000001365500973, 219.210000000000, 2.2809000000001365518766, 228.930000000000, 1.9701000000001365518846, 225.910000000000, 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250.000000000000, 1.9440000000001365629291, 253.640000000000, 1.1828000000001365642148, 151.740000000000, 2.0000000000001365642413, 141.270000000000, 2.0000000000001365678778, 188.540000000000, 3.9931000000001365703940, 148.580000000000, 4.4554000000001365716351, 151.650000000000, 0.6800000000001365717197, 136.400000000000, 1.0000000000001365717771, 122.450000000000, 1.9518000000001365724442, 124.000000000000, 2.0000000000001365773281, 117.460000000000, 1.2515000000001365773887, 121.000000000000, 1.9918000000001365776714, 122.360000000000, 2.2311000000001365795875, 114.590000000000, 1.0000000000001365796323, 115.000000000000, 2.0000000000001365798963, 106.190000000000, 2.0000000000001365802678, 106.180000000000, 1.0000000000001365804038, 111.410000000000, 1.7900000000001365810280, 109.980000000000, 1.5000000000001365811712, 115.000000000000, 2.0000000000001365813104, 109.970000000000, 1.0000000000001365816966, 165.200000000000, 3.0266000000001365819572, 150.000000000000, 1.0667000000001365820699, 128.730000000000, 1.6499000000001365823425, 124.060000000000, 3.2244000000001365826775, 150.000000000000, 1.0667000000001365877655, 150.000000000000, 2.0000000000001365878739, 159.330000000000, 2.0085000000001365884739, 150.000000000000, 4.0000000000001365888397, 150.000000000000, 3.0000000000001365956959, 150.000000000000, 5.3300000000001365961896, 140.000000000000, 0.5357000000001365979939, 142.140000000000, 1.0000000000001365991144, 128.990000000000, 2.0000000000001365993080, 150.000000000000, 1.3333000000001366014910, 135.000000000000, 4.4444000000001366022593, 149.640000000000, 0.4678000000001366044482, 123.500000000000, 3.0291000000001366045307, 119.750000000000, 1.0021000000001366048928, 119.750000000000, 0.6681000000001366055142, 109.990000000000, 0.1818000000001366062216, 109.480000000000, 1.0800000000001366065512, 100.000000000000, 0.1810000000001366085870, 88.150000000000, 1.0000000000001366085948, 91.540000000000, 0.4369000000001366097421, 74.700000000000, 10.4953000000001366129928, 96.000000000000, 2.0833000000001366130124, 99.720000000000, 4.0000000000001366133447, 99.890000000000, 1.0000000000001366135520, 103.730000000000, 1.1000000000001366138028, 95.390000000000, 1.1000000000001366144237, 69.480000000000, 1.5113000000001366145377, 75.000000000000, 2.5867000000001366155682, 89.800000000000, 2.0000000000001366158005, 88.800000000000, 1.0000000000001366158456, 89.800000000000, 1.9933000000001366164776, 94.000000000000, 2.0000000000001366173698, 102.640000000000, 1.9974000000001366198863, 103.450000000000, 1.9914000000001366211035, 102.450000000000, 2.1962000000001366218782, 94.000000000000, 3.0000000000001366225431, 94.000000000000, 2.0426000000001366233216, 214.470000000000, 1.0000000000001366318951, 108.730000000000, 0.9197000000001366387777, 129.690000000000, 1.9822000000001366394307, 135.420000000000, 0.1846000000001366413885, 134.140000000000, 0.2982000000001366551162, 136.710000000000, 0.1296000000001366553999, 140.700000000000, 2.4875000000001366620334, 137.830000000000, 0.4208000000001366671189, 107.380000000000, 1.5000000000001366684569, 141.740000000000, 1.0000000000001366686872, 142.090000000000, 1.0556000000001366687106, 142.130000000000, 1.7590000000001366746322, 148.230000000000, 3.3731000000001366825778, 159.250000000000, 0.1256000000001366903154, 166.040000000000, 1.5400000000001366903247, 168.230000000000, 0.1189000000001366906417, 165.440000000000, 1.5883000000001366906495, 166.300000000000, 1.0000000000001366912064, 164.670000000000, 2.1300000000001366914573, 164.820000000000, 0.1820000000001366978559, 143.290000000000, 1.3958000000001367001597, 144.390000000000, 1.0389000000001367002599, 165.650000000000, 1.0000000000001367024672, 142.890000000000, 0.8100000000001367027540, 144.780000000000, 1.4505000000001367027692, 146.310000000000, 2.0000000000001367029695, 143.800000000000, 0.7500000000001367034952, 143.800000000000, 3.1295000000001367043181, 143.710000000000, 2.2615000000001367085501, 141.190000000000, 1.4166000000001367100612, 155.680000000000, 1.2819000000001367182014, 170.140000000000, 1.0000000000001367182173, 169.720000000000, 1.1195000000001367186205, 170.710000000000, 1.0000000000001367275779, 153.550000000000, 1.4653000000001367289143, 198.350000000000, 6.0499000000001367323428, 197.180000000000, 7.0000000000001367331486, 155.660000000000, 1.6060000000001367348392, 189.950000000000, 5.2646000000001367351603, 146.060000000000, 2.9988000000001367356384, 188.010000000000, 7.1380000000001367364586, 167.170000000000, 0.1795000000001367364740, 191.010000000000, 7.8530000000001367378952, 165.000000000000, 1.8182000000001367423338, 142.430000000000, 3.9319000000001367446179, 133.240000000000, 2.2516000000001367457397, 131.820000000000, 1.2734000000001367474137, 129.410000000000, 0.3900000000001367506472, 125.970000000000, 0.0794000000001367517588, 112.580000000000, 4.4414000000001367534445, 116.880000000000, 0.1711000000001367562381, 108.910000000000, 0.5509000000001367591999, 106.120000000000, 0.4712000000001367595257, 104.460000000000, 0.4786000000001367599098, 144.030000000000, 1.0415000000001367604271, 99.230000000000, 2.9627000000001367625410, 103.810000000000, 2.022900000000`// Parse the multi-line CSV string above into a 2D arrayvar complexCadCsvArray = $.csv.toArrays(complexCadCsv);// jquery-csv `toArrays` are strings, needs to be number// Trim whitespace and then convert to Numbervar complexCadCsvJsArrayNumbers = complexCadCsvArray.map(row => row.map(el => Number(el.trim())));// Reduce trade times to same-sized intervalssimplifyData(complexCadCsvJsArrayNumbers);$(".new_csv").text($.csv.fromObjects(monotized_data));// ----------$(".existing_csv").append(complexCadCsvArray);<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script><script src="https://rawgit.com/evanplaice/jquery-csv/master/src/jquery.csv.min.js"></script><h1>New simplified CSV</h1><pre class="new_csv"></pre><h1>Existing CSV run through <a href="https://github.com/evanplaice/jquery-csv">jquery-csv</a></h1><pre class="existing_csv"></pre>