在Python中将CSV转换为HTML表

Question

我正在尝试从.csv文件中获取数据并导入到python中的HTML表中.

这是csv文件https://www.mediafire.com/?mootyaa33bmijiq

背景:
csv填充了来自足球队的数据[年龄组,回合,反对,团队得分,反对分数,位置].我需要能够选择特定的年龄组,并且只在单独的表中显示这些细节.

这就是我到目前为止所有的......

infile = open("Crushers.csv","r")

for line in infile:
    row = line.split(",")
    age = row[0]
    week = row [1]
    opp = row[2]
    ACscr = row[3]
    OPPscr = row[4]
    location = row[5]

if age == 'U12':
   print(week, opp, ACscr, OPPscr, location)

Answer 1

首先安装大熊猫:

pip install pandas

然后运行:

import pandas as pd

columns = ['age', 'week', 'opp', 'ACscr', 'OPPscr', 'location']
df = pd.read_csv('Crushers.csv', names=columns)

# This you can change it to whatever you want to get
age_15 = df[df['age'] == 'U15']
# Other examples:
bye = df[df['opp'] == 'Bye']
crushed_team = df[df['ACscr'] == '0']
crushed_visitor = df[df['OPPscr'] == '0']
# Play with this

# Use the .to_html() to get your table in html
print(crushed_visitor.to_html())

你会得到类似的东西:

<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>week</th>
      <th>opp</th>
      <th>ACscr</th>
      <th>OPPscr</th>
      <th>location</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>34</th>
      <td>U17</td>
      <td>1</td>
      <td>Banyo</td>
      <td>52</td>
      <td>0</td>
      <td>Home</td>
    </tr>
    <tr>
      <th>40</th>
      <td>U17</td>
      <td>7</td>
      <td>Aspley</td>
      <td>62</td>
      <td>0</td>
      <td>Home</td>
    </tr>
    <tr>
      <th>91</th>
      <td>U12</td>
      <td>7</td>
      <td>Rochedale</td>
      <td>8</td>
      <td>0</td>
      <td>Home</td>
    </tr>
  </tbody>
</table>

Answer 2

首先，安装pandas：

pip install pandas

然后，

import pandas as pd         
a = pd.read_csv("Crushers.csv") 
# to save as html file 
# named as "Table" 
a.to_html("Table.htm") 
# assign it to a  
# variable (string) 
html_file = a.to_html()

Answer 3

在开始打印所需的行之前，输出一些 HTML 以设置适当的表结构。

当找到要打印的行时，以 HTML 表格行格式输出。

# begin the table
print("<table>")

# column headers
print("<th>")
print("<td>Week</td>")
print("<td>Opp</td>")
print("<td>ACscr</td>")
print("<td>OPPscr</td>")
print("<td>Location</td>")
print("</th>")

infile = open("Crushers.csv","r")

for line in infile:
    row = line.split(",")
    age = row[0]
    week = row [1]
    opp = row[2]
    ACscr = row[3]
    OPPscr = row[4]
    location = row[5]

    if age == 'U12':
        print("<tr>")
        print("<td>%s</td>" % week)
        print("<td>%s</td>" % opp)
        print("<td>%s</td>" % ACscr)
        print("<td>%s</td>" % OPPscr)
        print("<td>%s</td>" % location)
        print("</tr>")

# end the table
print("</table>")