计算由javascript编码添加的多个输入字段的值,并为Javascript中的每一行显示

时间:2019-07-03 18:10:34

标签: javascript html

我想为每一行计算结果,我使用了添加多行的javascript,并且希望对每一行进行计算。

<input type="number" name="AB[]" onkeyup="sub();" id="AB[]" min="5" max="1000" required>

<input type="text" name="TA[]" id="TA[]" readonly>
<input type="text" name="RQP" value="1500" readonly onkeyup="sub();" id="RQP">
<input type="text" name="RAB" value="50" readonly onkeyup="sub();" id="RAB">
import pandas as pd
import numpy as np

col_values = [-36.0,
 1.5,
 -13.200000000000273,
 32.79999999999973,
 11.69999999999959,
 31.59999999999991,
 52.0,
 -1.1999999999995907,
 52.0,
 -105.29999999999973,
 -3.299999999999727,
 -14.100000000000136,
 9.599999999999454,
 -90.89999999999986,
 0.0,
 33.40000000000009,
 -12.900000000000546,
 39.09999999999991,
 32.80000000000018,
 15.299999999999727,
 -33.0,
 -15.599999999999454,
 11.700000000000273,
 12.600000000000136,
 -6.0]

col_cumsum = [1717.6999999999982,
 1719.1999999999982,
 1705.999999999998,
 1738.7999999999977,
 1750.4999999999973,
 1782.0999999999972,
 1834.0999999999972,
 1832.8999999999976,
 1884.8999999999976,
 1779.5999999999979,
 1776.2999999999981,
 1762.199999999998,
 1771.7999999999975,
 1680.8999999999976,
 1680.8999999999976,
 1714.2999999999977,
 1701.3999999999971,
 1740.499999999997,
 1773.2999999999972,
 1788.599999999997,
 1755.599999999997,
 1739.9999999999975,
 1751.6999999999978,
 1764.299999999998,
 1758.299999999998]

col_ema = [1754.3539071732214,
 1751.0059160138665,
 1746.71963829826,
 1745.965387031759,
 1746.3972549334958,
 1749.7975163684007,
 1757.8263243333147,
 1764.9761982063321,
 1776.3975126628718,
 1776.702511456884,
 1776.6641770324188,
 1775.2866363626642,
 1774.9545757566962,
 1765.9969971132011,
 1757.892521197658,
 1753.7408525121668,
 1748.75600941577,
 1747.969722804744,
 1750.3821301566725,
 1754.0219272846084,
 1754.1722199241694,
 1752.8224846932958,
 1752.7155813891723,
 1753.8188593521081,
 1754.2456346519073]


df1 = pd.DataFrame({'values': col_values, 'cumsum': col_cumsum, 'ema': col_ema})
df1.head(50)

1 个答案:

答案 0 :(得分:0)

  1. 最后两个字段中的第一个都是只读的,因此keyup功能将不起作用。
  2. 第二,仅当字段中存在任何条目时,才通过检查输入的值是否大于0来添加值