计算整个CSV文件以及Python中每行中某些单词的出现次数

如何解决计算整个CSV文件以及Python中每行中某些单词的出现次数

我正在处理来自多个服务器的数据，并为每个服务器生成一个CSV文件。我已经设法将所有服务器中的数据编译到一个文件中，并且合并文件具有如下数据-

Description,dc1pp1sellv01,dc1pp2sellv01,dc2pp1sellv01
1.1 Database Placement,PASSED,PASSED
1.2 Use dedicated least privilaged account,PASSED
1.3 Diable MySQL history,FAILED
2.1 Ensure old passwords is set to 1,DEPRICATED,NA

上面文件中的每个服务器列都可以有结果值，可以是以下任意一个-

[“通过”，“失败”，“例外”，“不适用”，“已弃用”]

从上面的CSV文件中，我想计算结果并创建一个如下所示的数据集

Description,dc2pp1sellv01,FAILED,EXCEPTION,NA,DEPRECATED
1.1 Database Placement,3,0
1.2 Use dedicated least privilaged account,0
1.3 Diable MySQL history,2,1,0
2.1 Ensure old passwords is set to 1,1

解决方法

这是一个建议（相当冗长，以突出显示正在发生的事情）：

home view

@model IEnumerable<Asp.NETMVCCRUD.Models.ShowModels>
@{
    ViewBag.Title = "CTC Company";
    Layout = "~/Views/Shared/AdminPage2.cshtml";
}

@foreach (var item in Model)
    {
        <div class="col-md-3" style="margin-bottom:20px">
            <div class="thumbnail">
                <div class="img-responsive" style="margin-bottom:20px">
                    <img src="@Url.Content(item.ImageURL)" target="_blank" style="background-size:cover" height="240" width="240" />
                </div>

                <div class="caption" style="border-top:3px solid #808080">

      **\\ i want to post Panorama value to Show panorama view in image src**

                    <h4 style="color:blueviolet;font:bolder"><a id="Panorama" name="Panorama" href="/PathroomShow/Showpanorama" target="_blank">@item.Image360File</a></h4>

                    

                    <h4 style="color:blueviolet;font:bolder"><a href="@Url.Content(item.ImageURL)" onclick="cataloge" target="_blank">@item.ModelName</a></h4>
                    <h5 style="color:darkslateblue;font:bolder"> Supplier : @item.Cid</h5>
                    <h5 style="color:darkslateblue;font:bolder"> Model : @item.Sid</h5>
                    <h5 style="color:darkslateblue;font:bolder"> Pathroom : @item.PathroomNameID</h5>
                    <h5 style="color:dimgrey;font:bolder">Floor : @item.FloorID</h5>
                    <h5 style="color:blue;font:bolder">Size : @item.Size</h5>
                    <h5 style="color:red;font:bolder">Date : @item.DateShow</h5>

                </div>

            </div>
        </div>
    }
panorama view


@model Asp.NETMVCCRUD.Models.ShowModels
@*@model IEnumerable<Asp.NETMVCCRUD.Models.ShowModels>*@
@{
    ViewBag.Title = "Showpanorama";
}

<h2>Showpanorama</h2>

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/aframe/1.0.4/aframe.min.js"></script>

<a-scene>

      ** \\this panorama i want to get Image360URL value**

    <img id="panorama" src="#" />
    <a-sky src="#panorama" rotation="0 -90 0"></a-sky>
</a-scene>

我假设您的数据位于名为import csv events = ["PASSED","FAILED","EXCEPTION","NA","DEPRECATED"] # Open files with open('data.csv','r') as csv_in,open('data_out.csv','w') as csv_out: # Initialize csv-reader and -writer csv_reader,csv_writer = csv.reader(csv_in),csv.writer(csv_out) # Process header line_in = next(csv_reader) line_out = line_in + events csv_writer.writerow(line_out) # Process data for line_in in csv_reader: line_out = line_in for event in events: line_out += [sum(1 if event == entry else 0 for entry in line_in[1:])] csv_writer.writerow(line_out) 的文件中。您必须进行调整。我希望它能起作用...

PS：示例数据中有一个拼写错误：data.csv应该是DEPRICATED。这会导致输出异常。

一个更紧凑的版本，没有不必要的辅助变量，如下所示：

DEPRECATED

,

您可以使用Counter对特定单词的出现次数进行计数。假设您已经打开.csv文件并存储在字符串input中：您可以执行以下操作：

from collections import Counter

res_values = ("PASSED","DEPRECATED")

input = ("Description,dc1pp1sellv01,dc1pp2sellv01,dc2pp1sellv01\n"
         "1.1 Database Placement,PASSED,PASSED\n"
         "1.2 Use dedicated least privilaged account,PASSED\n"
         "1.3 Diable MySQL history,FAILED\n"
         "2.1 Ensure old passwords is set to 1,DEPRICATED,NA")

print('\n'.join(
    [line + ',' + ','.join(
        [str(Counter(line.split(','))[res])
         if i != 0
         else res
         for res in res_values]
    )
     for i,line in enumerate(input.split('\n'))]))

我使用列表推导来更好地优化流程（因为文件可能很大），但这是另一个更清晰的代码，其作用完全相同：

split = input.split('\n')                      # Split the input line by line
for i,line in enumerate(split):               # For each line of the input
    if i == 0:                                 # Write full result name (for the first line)
        split[i] += ','.join(res_values)
    else:                                      # Count and write result occurrences
        counts = Counter(line.split(','))
        for res in res_values:
            split[i] += ',' + str(counts[res])
print('\n'.join(split))                        # Join the full string

我已经提出了一种易于执行的解决方案，但是出于优化目的，与逐行读取文件相比，将文件存储在像这样的字符串变量中当然更好。