python 如何利用 for 迴圈印出table內所有 td值？

python 網頁爬蟲 td table 迴圈

cgc0800 2021-07-08 14:32:02 ‧ 6266 瀏覽

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import requests
from bs4 import BeautifulSoup

payload = {
    '_EVENTTARGET':'',
    '__EVENTARGUMENT':'',
    '__LASTFOCUS':'',
    '__VIEWSTATEGENERATOR': '02BC70F4',
    '__SCROLLPOSITIONX': 0,
    '__SCROLLPOSITIONY': 791.2000122070312,
    '__VIEWSTATE':'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',
    '__EVENTVALIDATION':'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',
    'ctl00$ContentPlaceHolder_content$RadioButtonList_resultType': 0,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_startYear': 2021,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_endYear': 2021,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$time':'RadioButton_month',
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_month_startYear': 2018,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_month_startMonth': 1,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_month_endYear': 2021,
    'ctl00$ContentPlaceHolder_content$uc_timeSelector$DropDownList_month_endMonth': 5,
    'ctl00$ContentPlaceHolder_content$uc_productList_mixVer$CheckBoxList_priceType$0': 1,
    'ctl00$ContentPlaceHolder_content$uc_productList_mixVer$CheckBoxList_productList_1_0$8': 13,
    'ctl00$ContentPlaceHolder_content$Button_query':'查詢'
}

url = 'http://price.naif.org.tw/Query/Query_now.aspx'

headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}

resp = requests.post(url, data = payload)


# 將 HTML 轉成 BeautifulSoup 物件
soup = BeautifulSoup(resp.text, 'html.parser')

table = soup.find_all("table", {"id":"ContentPlaceHolder_content_GridView_data"})

print(table[0])

我利用上方程式碼印出

<table align="Center" border="1" cellspacing="0" class="queryBoxNew" id="ContentPlaceHolder_content_GridView_data" rules="all" width="100%">
<tr>
<th rowspan="3"><div style="max-width:140px;min-width:100%;">時間</div></th><th colspan="1">產地農場價格</th>
</tr><tr>
<th colspan="1">家禽類</th>
</tr><tr>
<th><div style="max-width:120px;min-width:100%;">雞蛋</div></th>
</tr>**<tr>
<td>2018年1月</td><td>45.35</td>
</tr><tr>
<td>2018年2月</td><td>38.63</td>
</tr><tr>
<td>2018年3月</td><td>38.58</td>
</tr><tr>
<td>2018年4月</td><td>43.06</td>
</tr><tr>
<td>2018年5月</td><td>46.32</td>
</tr><tr>
<td>2018年6月</td><td>44.33</td>
</tr><tr>
<td>2018年7月</td><td>47.34</td>
</tr><tr>
<td>2018年8月</td><td>51.75</td>
</tr><tr>
<td>2018年9月</td><td>55.39</td>
</tr><tr>
<td>2018年10月</td><td>55.83</td>
</tr><tr>
<td>2018年11月</td><td>55.83</td>
</tr><tr>
<td>2018年12月</td><td>55.83</td>
</tr><tr>
<td>2019年1月</td><td>57.93</td>
</tr><tr>
<td>2019年2月</td><td>57.26</td>
</tr><tr>
<td>2019年3月</td><td>59.87</td>
</tr><tr>
<td>2019年4月</td><td>50.78</td>
</tr><tr>
<td>2019年5月</td><td>44.17</td>
</tr><tr>
<td>2019年6月</td><td>38.94</td>
</tr><tr>
<td>2019年7月</td><td>37.39</td>
</tr><tr>
<td>2019年8月</td><td>45.19</td>
</tr><tr>
<td>2019年9月</td><td>45.50</td>
</tr><tr>
<td>2019年10月</td><td>42.18</td>
</tr><tr>
<td>2019年11月</td><td>46.17</td>
</tr><tr>
<td>2019年12月</td><td>46.91</td>
</tr><tr>
<td>2020年1月</td><td>39.22</td>
</tr><tr>
<td>2020年2月</td><td>42.96</td>
</tr><tr>
<td>2020年3月</td><td>48.84</td>
</tr><tr>
<td>2020年4月</td><td>49.17</td>
</tr><tr>
<td>2020年5月</td><td>44.92</td>
</tr><tr>
<td>2020年6月</td><td>40.83</td>
</tr><tr>
<td>2020年7月</td><td>38.47</td>
</tr><tr>
<td>2020年8月</td><td>45.13</td>
</tr><tr>
<td>2020年9月</td><td>46.78</td>
</tr><tr>
<td>2020年10月</td><td>41.05</td>
</tr><tr>
<td>2020年11月</td><td>43.72</td>
</tr><tr>
<td>2020年12月</td><td>43.84</td>
</tr><tr>
<td>2021年1月</td><td>45.67</td>
</tr><tr>
<td>2021年2月</td><td>42.86</td>
</tr><tr>
<td>2021年3月</td><td>51.48</td>
</tr><tr>
<td>2021年4月</td><td>52.94</td>
</tr><tr>
<td>2021年5月</td><td>46.69</td>
</tr>**
</table>

我想要將標粗那些td數值print出來
像這樣呈現

d = {'時間': ['2021年1月', '2021年2月'], '雞蛋產地價格(元/公斤)': [45.67, 42.86]}
df = pd.DataFrame(data = d)
df

      時間	 雞蛋產地價格(元/公斤)
0	2021年1月	       45.67
1	2021年2月	       42.86

我想利用for迴圈來撰寫
我找到這段程式碼可以print下一筆td資料

egg = soup.find("td", text = "2018年1月").find_next_sibling("td").text

可是他的text內要直接打該值

i = soup.find("td", text = egg).find_next_sibling("td").text

若將text = egg，但egg是變數，這方法會失敗，

有什麼方法可以一直print出td的值，
謝謝！

screenleon iT邦新手 1 級 ‧ 2021-07-08 15:47:53 檢舉

可以考慮搜尋tr中第二筆td值
tr td:nth-of-type(2)

cgc0800 iT邦新手 5 級 ‧ 2021-07-08 15:51:28 檢舉

找到解法：
tr = soup.find_all('tr')
for trr in tr:
tdlist = trr.find_all('td')
for i in range(len(tdlist)):
print(str(tdlist[i].text))

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2 個回答

japhenchen

iT邦超人 1 級 ‧ 2021-07-08 16:41:12

最佳解答

使用pandas跟numpy

import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
# ..........中間一大堆都一樣

# 最後幾行 
soup = BeautifulSoup(resp.text, 'html.parser')
table = soup.find_all("table", {"id":"ContentPlaceHolder_content_GridView_data"})
#上面這幾行還是你自己寫的


#底下才是重點，也是你下一步該學的，DataFrame
table_MN = pd.read_html(str(table[0]))
df = table_MN[0]
for i in df.to_numpy():
    print(f"時間{i[0]}\t價格{i[1]}")

輸出結果(加\t TAB好看一點)

時間2018年1月   價格45.35
時間2018年2月   價格38.63
時間2018年3月   價格38.58
時間2018年4月   價格43.06
時間2018年5月   價格46.32
時間2018年6月   價格44.33
時間2018年7月   價格47.34
時間2018年8月   價格51.75
時間2018年9月   價格55.39
時間2018年10月  價格55.83
時間2018年11月  價格55.83
時間2018年12月  價格55.83
時間2019年1月   價格57.93
時間2019年2月   價格57.26
時間2019年3月   價格59.87
時間2019年4月   價格50.78
時間2019年5月   價格44.17
時間2019年6月   價格38.94
時間2019年7月   價格37.39
時間2019年8月   價格45.19
時間2019年9月   價格45.5
時間2019年10月  價格42.18
時間2019年11月  價格46.17
時間2019年12月  價格46.91
時間2020年1月   價格39.22
時間2020年2月   價格42.96
時間2020年3月   價格48.84
時間2020年4月   價格49.17
時間2020年5月   價格44.92
時間2020年6月   價格40.83
時間2020年7月   價格38.47
時間2020年8月   價格45.13
時間2020年9月   價格46.78
時間2020年10月  價格41.05
時間2020年11月  價格43.72
時間2020年12月  價格43.84
時間2021年1月   價格45.67
時間2021年2月   價格42.86
時間2021年3月   價格51.48
時間2021年4月   價格52.94
時間2021年5月   價格46.69

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japhenchen iT邦超人 1 級 ‧ 2021-07-08 16:46:37 檢舉

你也可以用td去拆，但如果你要把表格變成自己能操作的List/tuple的話，還是學pandas來串比較快

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uobik

iT邦新手 4 級 ‧ 2021-07-08 16:41:02

參數是可以使用變數的，要換text的值可用for遍歷

for key in XXX:
    print(key, table[0].find("td", text = key).find_next_sibling("td").text)

另外想用find_next一直print出td的話，可以這樣

td = table[0].find_next('td')

while td:
    print(td.text)
    td = td.find_next('td')

再找方法區分時間跟價格

while td:
    if '月' in td.text:
        print(td.text ,td.find_next('td').text)
    td = td.find_next('td')

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