There are lists in the list, how to loop out each list?

[["", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "", ""], ["300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104", "300104"], ["2018-03-30", "2018-03-29", "2018-03-28", "2018-03-23", "2018-03-22", "2018-03-21", "2018-03-20", "2018-03-19", "2018-03-16", "2018-03-14", "2018-03-13", "2018-03-12", "2018-03-09", "2018-03-08", "2018-03-07", "2018-03-06", "2018-03-05", "2018-03-02", "2018-03-01", "2018-02-28", "2018-02-27", "2018-02-26", "2018-02-23", "2018-02-22", "2018-02-14", "2018-02-13", "2018-02-12", "2018-02-09", "2018-02-08", "2018-02-07", "2018-02-06", "2018-02-05", "2018-02-02", "2018-02-01", "2018-01-31", "2018-01-30", "2018-01-29", "2018-01-26", "2018-01-25", "2018-01-24"], ["4.79", "5.11", "5.10", "5.40", "5.57", "5.70", "5.21", "5.34", "5.93", "6.49", "5.75", "5.41", "5.30", "5.32", "5.33", "5.33", "5.28", "5.15", "5.10", "5.27", "5.21", "5.09", "4.98", "4.47", "4.11", "4.47", "4.56", "4.57", "4.34", "4.82", "5.36", "5.95", "6.61", "7.34", "8.15", "9.05", "10.06", "11.18", "12.42", "13.80"], ["4.87", "5.11", "5.34", "5.48", "5.73", "5.88", "5.87", "5.34", "5.93", "6.77", "6.16", "5.65", "5.60", "5.45", "5.40", "5.48", "5.42", "5.70", "5.25", "5.54", "5.49", "5.37", "5.35", "4.86", "4.57", "4.51", "4.69", "4.92", "5.28", "4.82", "5.36", "5.95", "6.61", "7.34", "8.15", "9.05", "10.06", "11.18", "12.42", "13.80"], ["4.72", "4.70", "5.01", "4.99", "5.36", "5.30", "5.21", "5.34", "5.93", "6.36", "5.75", "5.38", "5.30", "5.27", "5.20", "5.32", "5.26", "5.09", "5.06", "5.11", "5.12", "5.02", "4.92", "4.35", "4.01", "4.12", "4.34", "4.57", "4.34", "4.82", "5.36", "5.95", "6.61", "7.34", "8.15", "9.05", "10.06", "11.18", "12.42", "13.80"], ["4.76", "4.78", "5.12", "5.08", "5.54", "5.53", "5.87", "5.34", "5.93", "6.59", "6.16", "5.60", "5.46", "5.35", "5.34", "5.38", "5.33", "5.50", "5.20", "5.22", "5.44", "5.28", "5.29", "4.86", "4.42", "4.16", "4.46", "4.57", "5.08", "4.82", "5.36", "5.95", "6.61", "7.34", "8.15", "9.05", "10.06", "11.18", "12.42", "13.80"], ["-0.02", "-0.34", "0.04", "-0.46", "0.01", "-0.34", "0.53", "-0.59", "-0.66", "0.43", "0.56", "0.14", "0.11", "0.01", "-0.04", "0.05", "-0.17", "0.30", "-0.02", "-0.22", "0.16", "-0.01", "0.43", "0.44", "0.26", "-0.30", "-0.11", "-0.51", "0.26", "-0.54", "-0.59", "-0.66", "-0.73", "-0.81", "-0.90", "-1.01", "-1.12", "-1.24", "-1.38", "-1.53"], ["-0.42", "-6.64", "0.79", "-8.30", "0.18", "-5.79", "9.93", "-9.95", "-10.02", "6.98", "10.00", "2.56", "2.06", "0.19", "-0.74", "0.94", "-3.09", "5.77", "-0.38", "-4.04", "3.03", "-0.19", "8.85", "9.95", "6.25", "-6.73", "-2.41", "-10.04", "5.39", "-10.07", "-9.92", "-9.98", "-9.95", "-9.94", "-9.94", "-10.04", "-10.02", "-9.98", "-10.00", "-9.98"], ["1,585,272", "2,889,496", "2,929,088", "2,663,670", "2,185,353", "3,907,513", "4,916,900", "454,889", "236,857", "3,782,598", "1,637,459", "2,695,850", "2,840,371", "1,568,980", "1,882,589", "1,886,108", "2,526,762", "4,395,146", "2,107,575", "3,583,972", "3,562,522", "3,955,894", "5,791,485", "2,824,080", "2,754,325", "2,821,280", "3,116,808", "5,324,391", "8,783,693", "822,437", "19,604", "17,324", "12,781", "9,753", "12,200", "9,785", "6,456", "10,162", "8,014", "24,286"], ["75,812", "139,091", "151,161", "138,534", "121,514", "221,070", "272,138", "24,291", "14,046", "248,715", "97,801", "148,498", "155,513", "83,928", "99,710", "101,605", "134,681", "238,821", "108,763", "189,997", "190,770", "205,485", "303,106", "129,186", "119,478", "121,624", "140,362", "247,522", "410,987", "39,641", "1,051", "1,031", "845", "716", "994", "886", "649", "1,136", "995", "3,351"], ["3.14", "8.01", "6.50", "8.84", "6.69", "9.88", "12.36", "0.00", "0.00", "6.66", "7.32", "4.95", "5.61", "3.37", "3.72", "3.00", "2.91", "11.73", "3.64", "7.90", "7.01", "6.62", "8.85", "11.54", "13.46", "8.74", "7.66", "6.89", "19.50", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00", "0.00"], ["4.02", "7.33", "7.43", "6.76", "5.54", "9.91", "12.47", "1.15", "0.60", "9.60", "4.15", "6.84", "7.21", "3.98", "4.78", "4.78", "6.41", "11.15", "5.35", "9.09", "9.08", "10.09", "14.77", "7.20", "7.02", "7.19", "7.95", "13.58", "22.40", "2.22", "0.05", "0.05", "0.03", "0.03", "0.03", "0.03", "0.02", "0.03", "0.02", "0.07"]]

the data format is as above. The length of each sublist is the same.
want to loop into: 

["A","000002","2018-07-30","9","20","8","8.9","-0.2","-0.2","85555","8.9","-0.2","1.5"]
["A","000002","2018-07-30","9","20","8","8.9","-0.2","-0.2","85555","8.9","-0.2","1.5"]
["A","000002","2018-07-30","9","20","8","8.9","-0.2","-0.2","85555","8.9","-0.2","1.5"]
....
Python
Apr.01,2021

it's not impossible to write a loop, but there are more ingenious ways.
take a closer look and you can see that you want to change the rows of the original data table into columns and columns into rows. Consider matrix transposition
transposition means that rows become columns and columns become rows, such as this: the first row on the left 543 becomes the first column on the right

. 

var a = [['a','b'],['a1','b1']];  //
var b = a.reduce((r,c)=>{
    for(let i = 0; i<c.length; iPP) {
        if(r[i]===undefined) r[i] = [];
        r[i].push(c[i]);
    }
    return r;
},[]);
console.log(b);  // [['a','a1'],['b','b1']]

Previous: How does WeChat Mini Programs write a gadget to listen to onLoad events on all pages

Next: What does it mean not to use foreign keys in Internet development?

css mysql arrays josn react html typescript webpack npm sass R objective-c .net sql-server jquery python-3.x angularjs django angular excel regex iphone ajax linux xml pandas vba spring database wordpress string wpf xcode windows bash postgresql oracle multithreading eclipse list firebase algorithm macos forms image scala visual-studio azure bootstrap spring-boot react-native python-2.7 docker performance function winforms matlab powershell apache dataframe api sqlite numpy rest shell selenium flutter dart maven loops qt swing android-studio csv express file class tensorflow sorting codeigniter perl
© 2021 CodesHelper
Advertising Contact us About us
Menu