[英]Python how to use split delimiter to remove white-space on csv
我正在研究一段將html表轉換為csv文件的代碼。 我在弄清楚如何使用字符串拆分刪除要打印到終端的信息之間的空白時遇到麻煩。 我最好的結果是終端在信息之間打印出很大的空白,這使導航變得困難。 任何信息將不勝感激。
import csv
from bs4 import BeautifulSoup
from termcolor import cprint
html = open("recallist.html").read()
soup = BeautifulSoup(html)
table = soup.find_all('div', {'id': 'PrintArea'})
output_rows = []
recals = 'recallist.csv'
cprint('READING TABLES', 'green')
for table_row in table:
columns = table_row.findAll('td')
output_row = []
for column in columns:
output_row.append(column.text)
output_rows.append(output_row)
with open('recallist.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerows(output_rows)
with open(recals, 'r') as f:
contents = f.read()
for item in contents.split("Date,Customer,Phone,Cell Phone,Removal,Notes"):
for refine in item.split('",,'):
print(refine)
下列CSV范例:
Location,,,Date,Customer,Phone,Cell Phone,Removal,Notes,�,�,�,,04/29/19 | 03:00 PM,[9999] FIRST LAST,999-999-9999***,999-999-9999,,"
",,"
","
$127.92
",,04/29/19 | 03:30 PM,[123456] FIRST LAST,999-999-9999***,999-999-9999,04/13/2020,"
",,"
","
$0.02
",,04/29/19 | 04:00 PM,[123456] FIRST LAST,999-999-9999***,,09/10/2019,"
",,"
","
($212.10)
",,04/29/19 | 04:15 PM,[123456] FIRST LAST,999-999-9999***,,01/09/2020,"
",,"
","
$16.23
",,04/29/19 | 04:30 PM,[123456] FIRST LAST,999-999-9999***,,05/30/2019,"
",,"
","
$0.24
",,04/29/19 | 05:00 PM,[123456] FIRST LAST,999-999-9999***,,07/26/2019,"
",,"
","
($0.30)
",,04/29/19 | 07:00 PM,[123456] FIRST LAST,999-999-9999***,999-999-9999,11/15/2019,"
",,"
","
$0.06
",,04/29/19 | 07:30 PM,[123456] FIRST LAST,999-999-9999***,,12/12/2019,"
",,"
","
我正在嘗試實現的格式:
04/29/19 | 03:00 PM,[9999] FIRST LAST,999-999-9999***,999-999-9999,$127.92
04/29/19 | 03:30 PM,[99999] FIRST LAST,999-999-9999***,999-999-9999,$0.02
ETC.
HTML樣本,以備不時之需:
<tbody><tr class="alt">
<td colspan="5" align="left" style="background-color:668cd9;">Location</td>
<td colspan="5" align="left" style="background-color:668cd9;"></td>
</tr>
<tr align="left" class="GrayBLOCK">
<td></td>
<td>Date</td>
<td>Customer</td>
<td>Phone</td>
<td>Cell Phone</td>
<td>Removal</td>
<td>Notes</td>
<td> </td>
<td> </td>
<td> </td>
</tr>
<tr class="alt">
<td></td>
<td>04/29/19 | 03:00 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[9999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td>999-999-9999</td>
<td></td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
$127.92
</td>
</tr>
<tr>
<td></td>
<td>04/29/19 | 03:30 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td>999-999-9999</td>
<td>04/13/2020</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
$0.02
</td>
</tr>
<tr class="alt">
<td></td>
<td>04/29/19 | 04:00 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td></td>
<td>09/10/2019</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
($212.10)
</td>
</tr>
<tr>
<td></td>
<td>04/29/19 | 04:15 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td></td>
<td>01/09/2020</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
$16.23
</td>
</tr>
<tr class="alt">
<td></td>
<td>04/29/19 | 04:30 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td></td>
<td>05/30/2019</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
$0.24
</td>
</tr>
<tr>
<td></td>
<td>04/29/19 | 05:00 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td></td>
<td>07/26/2019</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
($0.30)
</td>
</tr>
<tr class="alt">
<td></td>
<td>04/29/19 | 07:00 PM</td>
<td><a href="../code/c_newClient.cfm?theID=99999" target="_blank">[999999]</a> FIRST LAST</td>
<td>999-999-9999***</td>
<td>999-999-9999</td>
<td>11/15/2019</td>
<td>
</td>
<td></td>
<td>
</td>
<td align="right" class="RedMED">
$0.06
</td>
</tr>
更新:我在原始帖子中發現了一個問題,這是更好的版本。 空的<td>
標記會創建一些額外的列。 版本1保留了這些列,版本2刪除了它們,但是它非常特定於您給定的格式,如果更改格式,則必須修改切片。
版本1
import csv
from bs4 import BeautifulSoup
with open("recallist.html") as f:
soup = BeautifulSoup(f.read(), features="html.parser")
rows = soup.find_all('tr')
with open('recallist.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
for row in rows:
columns = row.find_all('td')
writer.writerow([column.get_text(strip=True) for column in columns])
版本2
import csv
from bs4 import BeautifulSoup
with open("recallist.html") as f:
soup = BeautifulSoup(f.read(), features="html.parser")
rows = soup.find_all('tr')
with open('recallist.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
#alt: 'for row in rows[2:]:' to slice off the two header rows
for row in rows:
columns = row.find_all('td')
del columns[0]
del columns[-4:-1]
writer.writerow([column.get_text(strip=True) for column in columns])
如果您的實際HTML實際上有多個帶有不同列的表,則需要對其進行調整。 希望能幫助到你!
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