我是python / pandas的新手。我正在尝试将行转置为columns.Apologies任何误解 input_df(pic) output_df(pic)
input_df:
Date Project Processes Time_in_sec Time_measures
-----------------------------------------------------------------------
7/6/2017 FE eBanking .aspx 157 Average Response Time
9/2/2017 PCB eBanking Frontpage.fi 227 Call per hour
1/23/2017 ICC Acct Transfer.dc 28 Average Response Time
1/24/2017 PCB Transaction .com 0 Number of calls
1/23/2017 ICC eBanking Logon.no 0 Number of calls
output_df:
Date Project Processes Average Response Time Call per hour Number of calls
-----------------------------------------------------------------------------
7/6/2017 FE eBanking .aspx 157
9/2/2017 PCB eBanking Frontpage.fi 227
1/24/2017 PCB Transaction .com 0
1/23/2017 ICC Acct Transfer.dc 28
1/23/2017 ICC eBanking Logon.no 0
我尝试了下面的代码，并在输出below_code's_output中只获得了3个列的“平均响应时间”，“每小时呼叫次数”“呼叫次数”。但我很困惑如何获得所有必要的6列。你能帮忙吗？
output_df = input_df.pivot(columns = 'Time_measures', values= 'Time_in_sec')
答案 0 :(得分：1)
IIUC您可以将 <!DOCTYPE html>
<html lang="en">
<head>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script type="text\javascript" src="jljs.js"></script>
<meta charset="utf-8">
</head>
<body>
<center>
<fieldset>
<p>
Search here: <input type="text" id="txtsearch"/>  
<button onclick="Search()">Find now</button>
</p>
</fieldset>
</center>
</body>
</html>
与 function Search()
{
var me = (d3.select("#txtsearch").property("value"));
alert(me);
}
pivot_table