Python 3.x 在python中提取类中的所有元素

为了提取类中的第一个元素，我做了以下工作：

if var_source == "Image":
    outcsvfile = 'Image_Ids' + file + '_' + timestamp +'.csv'
    with open(outcsvfile, 'w', encoding='utf-8', newline='') as csvfile:
            csv_writer = csv.writer(csvfile) 
            csv_writer.writerow(['ax','physical_id'])
    for i in range(len(var_ax)):    
        browser.get('https://test.com' + str(mpid) + '&ax=' + var_ax[i])
        self.master.update()
        self.status.config(text = str(i+1) + "/" + str(len(var_ax)) + " Extracting AX: " + var_ax[i])
        try:
            ph_id = browser.find_element_by_xpath("//div[contains(@class, 'a-image-wrapper')]").get_attribute("alt")
            print(i+1,': extract AX:',var_ax[i])
            with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                csv_writer = csv.writer(csvfile) 
                csv_writer.writerow([var_ax[i],ph_id])
        except:
            print(i+1,': extract AX:',var_ax[i])
            with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                csv_writer = csv.writer(csvfile) 
                csv_writer.writerow([var_ax[i],'[missing AX]'])

我有两个问题：

    if var_source == "Image":
        outcsvfile = 'Image_Ids-' + file + '_' + timestamp +'.csv'
        with open(outcsvfile, 'w', encoding='utf-8', newline='') as csvfile:
                csv_writer = csv.writer(csvfile) 
                csv_writer.writerow(['ax','physical_id','image_count'])
        for i in range(len(var_ax)):    
            browser.get('https://test.com' + str(mpid) + '&ax=' + var_ax[i])
            self.master.update()
            self.status.config(text = str(i+1) + "/" + str(len(var_ax)) + " Extracting AX: " + var_ax[i])
            try:
                ph_id = browser.find_element_by_xpath("//div[contains(@class, 'a-image-wrapper')]").get_attribute("alt")
                ids1 = browser.find_elements_by_class_name("physical-id")
                ids1Text = []
                for a in ids1:
                    ids1Text.append(a.text)
                nr = str(len(ids1))
                ax = ', '.join(ids1Text)
                print(i+1,': extract AX:',var_ax[i])
                with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                    csv_writer = csv.writer(csvfile)
                    csv_writer.writerow([var_ax[i], ax, nr])
            except:
                print(i+1,': extract AX:',var_ax[i])
                with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                    csv_writer = csv.writer(csvfile) 
                    csv_writer.writerow([var_ax[i],'[missing AX]'])

如何提取同一单元格中由逗号分隔的所有物理标识（单元格B2=“physical_id1，physical_id2，physical_id3”）

我如何计算C列中导出的物理_ID的总数（例如：对于C2，我们将有3个，因为在B2中，我们导出了3个物理_ID）

源代码：

<div alt="51d5gBEzhjL" style="width:220px;float:left;margin-left:34px;margin-bottom:10px;border:1px solid #D0D0D0" class="a-image-wrapper a-lazy-loaded MAIN GLOBAL 51d5gBEzhjL"><h1 class="a-size-medium a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold">MAIN</h1><h1 class="a-size-base a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold"> ou GLOBAL / Merch 1</h1></div>
<h1 class="a-size-medium a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold">FACT</h1>
<h1 class="a-size-base a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold"> ou GLOBAL / Merch 1</h1>
<span class="a-declarative" data-action="a-modal"><center><img class="ecx" id="51S+wTs36zL" src="https://test.com/images/I/51S+wTs36zL._AA200_.jpg" alt="51S+wTs36zL"></center></span>
<center>
<img class="ecx" id="51S+wTs36zL" src="https://test.com/images/I/51S+wTs36zL._AA200_.jpg" alt="51S+wTs36zL">
</center>
</span>
<h5 class="physical-id">51S+wTs36zL</h5>
<h1 class="a-size-medium a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold" style="background:#D0D0D0">UPLOADED</h1>
<h1 class="a-size-base a-spacing-mini a-spacing-top-mini a-color-information a-text-center a-text-bold">19/Apr/2016:17:45:40</h1>
</div>

MAIN ou GLOBAL/Merch 1
事实
ou全球/水星1
51S+wTs36zL
上传
2016年4月19日：17:45:40

这对我很有效，解决了我的两个问题：

    if var_source == "Image":
        outcsvfile = 'Image_Ids-' + file + '_' + timestamp +'.csv'
        with open(outcsvfile, 'w', encoding='utf-8', newline='') as csvfile:
                csv_writer = csv.writer(csvfile) 
                csv_writer.writerow(['ax','physical_id','image_count'])
        for i in range(len(var_ax)):    
            browser.get('https://test.com' + str(mpid) + '&ax=' + var_ax[i])
            self.master.update()
            self.status.config(text = str(i+1) + "/" + str(len(var_ax)) + " Extracting AX: " + var_ax[i])
            try:
                ph_id = browser.find_element_by_xpath("//div[contains(@class, 'a-image-wrapper')]").get_attribute("alt")
                ids1 = browser.find_elements_by_class_name("physical-id")
                ids1Text = []
                for a in ids1:
                    ids1Text.append(a.text)
                nr = str(len(ids1))
                ax = ', '.join(ids1Text)
                print(i+1,': extract AX:',var_ax[i])
                with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                    csv_writer = csv.writer(csvfile)
                    csv_writer.writerow([var_ax[i], ax, nr])
            except:
                print(i+1,': extract AX:',var_ax[i])
                with open(outcsvfile, 'a+', encoding='utf-8', newline='') as csvfile:
                    csv_writer = csv.writer(csvfile) 
                    csv_writer.writerow([var_ax[i],'[missing AX]'])

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如何共享URL或代表

HTML

sample？已添加。我不知道这是什么-1，但无论如何，这里有一个专业提示：永远不要共享代码的图像（在这里和其他任何地方，你有同事），因为这是绝对无用的和史诗般的熏陶。话虽如此，还是去掉那个图像，将

HTML

粘贴为纯文本。附言：否决票很可能是为了代码的形象。看到-1之前，我已经上传了图像。我已经在pastebin上编辑并上传了源代码（对于我的帖子来说太大了），如果你的代码太大，无法在问题中发布，那么这不是一个最小的代表性示例，请查看，以便我们能够更好地帮助你。