我试图从.csv文件中获取数据并导入到python中的HTML表格。
这是csv文件https://www.mediafire.com/?mootyaa33bmijiq
上下文：
csv包含来自足球队的数据[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。
这是我到目前为止所做的全部......
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)
答案 0 :(得分：11)
首先安装pandas：
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>
答案 1 :(得分：1)
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。
当您找到要打印的行时，请以HTML表格格式输出。
# 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>")
答案 2 :(得分：1)
首先，安装熊猫：
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()
答案 3 :(得分：0)
首先进口一些：
import csv
from html import escape
import io
现在构建块 - 让我们创建一个用于读取CSV的函数和另一个用于制作HTML表的函数：
def read_csv(path, column_names):
with open(path, newline='') as f:
# why newline='': see footnote at the end of https://docs.python.org/3/library/csv.html
reader = csv.reader(f)
for row in reader:
record = {name: value for name, value in zip(column_names, row)}
yield record
def html_table(records):
# records is expected to be a list of dicts
column_names = []
# first detect all posible keys (field names) that are present in records
for record in records:
for name in record.keys():
if name not in column_names:
column_names.append(name)
# create the HTML line by line
lines = []
lines.append('<table>\n')
lines.append(' <tr>\n')
for name in column_names:
lines.append(' <th>{}</th>\n'.format(escape(name)))
lines.append(' </tr>\n')
for record in records:
lines.append(' <tr>\n')
for name in column_names:
value = record.get(name, '')
lines.append(' <td>{}</td>\n'.format(escape(value)))
lines.append(' </tr>\n')
lines.append('</table>')
# join the lines to a single string and return it
return ''.join(lines)
现在把它放在一起:)）
records = list(read_csv('Crushers.csv', 'age week opp ACscr OPPscr location'.split()))
# Print first record to see whether we are loading correctly
print(records[0])
# Output:
# {'age': 'U13', 'week': '1', 'opp': 'Waterford', 'ACscr': '22', 'OPPscr': '36', 'location': 'Home'}
records = [r for r in records if r['age'] == 'U12']
print(html_table(records))
# Output:
# <table>
# <tr>
# <th>age</th>
# <th>week</th>
# <th>opp</th>
# <th>ACscr</th>
# <th>OPPscr</th>
# <th>location</th>
# </tr>
# <tr>
# <td>U12</td>
# <td>1</td>
# <td>Waterford</td>
# <td>0</td>
# <td>4</td>
# <td>Home</td>
# </tr>
# <tr>
# <td>U12</td>
# <td>2</td>
# <td>North Lakes</td>
# <td>12</td>
# <td>18</td>
# <td>Away</td>
# </tr>
# ...
# </table>
一些注意事项：
csv.reader比分割线更有效，因为它还可以处理带引号的值，甚至可以使用换行符处理带引号的值
html.escape用于转义可能包含字符<或>
通常使用dicts比使用元组更容易
通常CSV文件包含标题（第一行包含列名），可以使用csv.DictReader轻松加载;但是Crushers.csv没有标题（数据从第一行开始）所以我们自己在函数read_csv
函数read_csv和html_table都是一般化的，因此它们可以处理任何数据，列名称不是＆＃34;硬编码的＆＃34;进入他们
是的，您可以使用pandas read_csv和to_html代替:)但如果您需要进行自定义，最好知道如何在没有pandas的情况下执行此操作。或者只是作为编程练习。
答案 4 :(得分：0)
这也应该工作：
from html import HTML
import csv
def to_html(csvfile):
t=H.table(border='2')
r = t.tr
with open(csvfile) as csvfile:
reader = csv.DictReader(csvfile)
for column in reader.fieldnames:
r.td(column)
for row in reader:
t.tr
for col in row.iteritems():
t.td(col[1])
return t
并通过将csv文件传递给函数来调用该函数。
答案 5 :(得分：-1)
下面的函数将filename，headers（可选）和delimiter（可选）作为输入，并将csv转换为html表并返回为字符串。 如果未提供标头，则假定标头已存在于csv文件中。
def csv_to_html_table(fname,headers=None,delimiter=","):
with open(fname) as f:
content = f.readlines()
#reading file content into list
rows = [x.strip() for x in content]
table = "<table>"
#creating HTML header row if header is provided
if headers is not None:
table+= "".join(["<th>"+cell+"</th>" for cell in headers.split(delimiter)])
else:
table+= "".join(["<th>"+cell+"</th>" for cell in rows[0].split(delimiter)])
rows=rows[1:]
#Converting csv to html row by row
for row in rows:
table+= "<tr>" + "".join(["<td>"+cell+"</td>" for cell in row.split(delimiter)]) + "</tr>" + "\n"
table+="</table><br>"
return table
在您的情况下，函数调用将如下所示：
filename="Crushers.csv"
myheader='age,week,opp,ACscr,OPPscr,location'
html_table=csv_to_html_table(filename,myheader)