python tag.has_attr()

`tag.has_attr()` 是 Beautiful Soup 库中的一个方法，用于判断一个 HTML 标签是否包含指定的属性。它的语法如下： ```python tag.has_attr(key) ``` 其中，`tag` 是一个 Beautiful Soup 对象，`key` 是一个字符串，表示要判断的属性名。如果标签包含指定的属性，则返回 `True`，否则返回 `False`。例如： ```python from bs4 import BeautifulSoup html = '<p class="intro">Hello, world!</p>' soup = BeautifulSoup(html, 'html.parser') p_tag = soup.p print(p_tag.has_attr('class')) # True print(p_tag.has_attr('id')) # False ``` 上面的代码中，`p_tag` 对象表示 HTML 中的 `<p>` 标签，该标签包含 `class` 属性，但不包含 `id` 属性，因此第一个 `print()` 函数输出 `True`，第二个输出 `False`。

SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs.receivable_fee, bs.sample_no, bs.ranges, bs.grade, bs.sample_remark AS remark, bs.factory, bs.item_name, bs.apply_dept, bs.specification, bs.factory_number, bs.calibrat_point, bs.mandatory_flag, bs.inspection_type, bs.report_org_name, bs.plan_complete_date, bs.standard_instrument_name, bs.bleeding_site_name, bs.arrive_date, DATEDIFF( bs.plan_complete_date, NOW()) AS surplus_days, bs.order_no, bs.order_type, bs.customer_name, bs.order_id, bs.business_type, bs.group_id, bs.group_name, bs.item_id, bs.is_merge, bs.pass_time, bs.audit_time, bs.report_id, bs.compile_time, bs.generate_time, bs.pass_user_name, bs.audit_user_name, bs.compile_user_name, bs.report_state, bs.is_just_certificate, bs.label_price, bs.labor_cost, bs.product_type, bs.batch_number, bs.original_number, bs.type_no, bs.template_id, bs.template_version, bs.standard_instrument_id, bs.standard_instrument_name, bs.report_query_code, bs.test_user_id, bs.test_user_name, bs.test_time, bs.review_user_id, bs.review_user_name, bs.review_time, bs.or_number, bs.test_result, bs.test_result_text, bs.test_date, bs.test_address, bs.result_value, bs.unit, bs.test_dept_id, bs.test_dept_name, bs.sample_mass, bs.form, bs.color, bs.clarity, bs.amplification_detection, bs.precious_metal, bs.remarks, bs.photo, bs.identifying_code, bs.diamond_quality, bs.hand_ring, bs.craft, bs.instrument_photo, bs.customer_item_basis, bs.quality_photo, bs.check_point, bs.check_code, bs.mass_unit, bs.manufacturer_name, bs.manufacturer_addr, bs.result_sample_describe AS sampleDescribe, bs.test_rule AS metalRuleIdsStr, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 需要按照bs.report_no 的整数来从小到大进行排序

你可以使用以下SQL语句来按照bs.report_no的整数值从小到大进行排序： ```sql SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs.receivable_fee, bs.sample_no, bs.ranges, bs.grade, bs.sample_remark AS remark, bs.factory, bs.item_name, bs.apply_dept, bs.specification, bs.factory_number, bs.calibrat_point, bs.mandatory_flag, bs.inspection_type, bs.report_org_name, bs.plan_complete_date, bs.standard_instrument_name, bs.bleeding_site_name, bs.arrive_date, DATEDIFF(bs.plan_complete_date, NOW()) AS surplus_days, bs.order_no, bs.order_type, bs.customer_name, bs.order_id, bs.business_type, bs.group_id, bs.group_name, bs.item_id, bs.is_merge, bs.pass_time, bs.audit_time, bs.report_id, bs.compile_time, bs.generate_time, bs.pass_user_name, bs.audit_user_name, bs.compile_user_name, bs.report_state, bs.is_just_certificate, bs.label_price, bs.labor_cost, bs.product_type, bs.batch_number, bs.original_number, bs.type_no, bs.template_id, bs.template_version, bs.standard_instrument_id, bs.standard_instrument_name, bs.report_query_code, bs.test_user_id, bs.test_user_name, bs.test_time, bs.review_user_id, bs.review_user_name, bs.review_time, bs.or_number, bs.test_result, bs.test_result_text, bs.test_date, bs.test_address, bs.result_value, bs.unit, bs.test_dept_id, bs.test_dept_name, bs.sample_mass, bs.form, bs.color, bs.clarity, bs.amplification_detection, bs.precious_metal, bs.remarks, bs.photo, bs.identifying_code, bs.diamond_quality, bs.hand_ring, bs.craft, bs.instrument_photo, bs.customer_item_basis, bs.quality_photo, bs.check_point, bs.check_code, bs.mass_unit, bs.manufacturer_name, bs.manufacturer_addr, bs.result_sample_describe AS sampleDescribe, bs.test_rule AS metalRuleIdsStr, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id ORDER BY CAST(bs.report_no AS UNSIGNED) ASC; ``` 这将按照bs.report_no的整数值从小到大对结果进行排序。

SELECT bs.sample_id, bs.item_id, bs.report_id, bs.order_no, bs.order_id, bs.order_business_type, bs.commission_date, bs.customer_name, bs.applicant, bs.phone, bs.receive_user_name, bs.contract_no, bs.special_requirements, bs.report_org_name, bs.report_org_address, bs.sample_name, bs.standard_instrument_name, bs.complete_day, bs.sample_remark AS remark, bs.standard_instrument_id, bs.sample_no, bs.factory_number, bs.item_name, /bs.item_quantity,/ bs.inspection_type, bs.mandatory_flag, bs.test_quantity, bs.sample_state, bs.current_site, bs.plan_complete_date, bs.affix, bs.ranges, bs.grade, bs.factory, bs.calibrat_point, bs.apply_dept, bs.specification, bs.final_fee, bs.service_type, CASE WHEN bs.actual_complete_date IS NOT NULL THEN DATEDIFF( bs.plan_complete_date, bs.actual_complete_date ) ELSE datediff( bs.plan_complete_date, now()) END AS surplus_days, bs.report_no, bs.is_report_back, bs.back_reason AS report_back_reason, bs.is_just_certificate, bs.report_state, bs.temper, bs.humidity, bs.test_result, bs.test_date, bs.next_test_date, bs.test_cycle, bs.test_address, bs.generate_time, bs.point_report_id, bs.is_merge, bs.circulation_flag, bs.item_proposal_fee AS proposal_fee, bs.change_price_reason, bs.test_user_name, bs.group_id, bs.group_name, bs.charging_num, bs.other_fee, bs.receivable_fee, bs.affix_quantity, bs.test_org, bs.out_org_order_no, bs.out_org_sample_no, bs.business_user_name, bs.pdf_path, bs.settlement_state, bs.result_describe, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 根据bs.commission_date 进行排序最近的排上面 bs.commission_date

你可以使用 `ORDER BY` 子句根据 `bs.commission_date` 字段进行排序，以将最近的日期排在前面。以下是示例代码： ```sql SELECT bs.sample_id, bs.item_id, bs.report_id, bs.order_no, bs.order_id, bs.order_business_type, bs.commission_date, bs.customer_name, bs.applicant, bs.phone, bs.receive_user_name, bs.contract_no, bs.special_requirements, bs.report_org_name, bs.report_org_address, bs.sample_name, bs.standard_instrument_name, bs.complete_day, bs.sample_remark AS remark, bs.standard_instrument_id, bs.sample_no, bs.factory_number, bs.item_name, /*bs.item_quantity,*/ bs.inspection_type, bs.mandatory_flag, bs.test_quantity, bs.sample_state, bs.current_site, bs.plan_complete_date, bs.affix, bs.ranges, bs.grade, bs.factory, bs.calibrat_point, bs.apply_dept, bs.specification, bs.final_fee, bs.service_type, CASE WHEN bs.actual_complete_date IS NOT NULL THEN DATEDIFF(bs.plan_complete_date, bs.actual_complete_date) ELSE DATEDIFF(bs.plan_complete_date, now()) END AS surplus_days, bs.report_no, bs.is_report_back, bs.back_reason AS report_back_reason, bs.is_just_certificate, bs.report_state, bs.temper, bs.humidity, bs.test_result, bs.test_date, bs.next_test_date, bs.test_cycle, bs.test_address, bs.generate_time, bs.point_report_id, bs.is_merge, bs.circulation_flag, bs.item_proposal_fee AS proposal_fee, bs.change_price_reason, bs.test_user_name, bs.group_id, bs.group_name, bs.charging_num, bs.other_fee, bs.receivable_fee, bs.affix_quantity, bs.test_org, bs.out_org_order_no, bs.out_org_sample_no, bs.business_user_name, bs.pdf_path, bs.settlement_state, bs.result_describe, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id ORDER BY bs.commission_date DESC; ``` 在上述 SQL 查询中，我们添加了 `ORDER BY` 子句，并使用 `bs.commission_date DESC` 来按照 `bs.commission_date` 字段降序排列结果。这将把最近的日期放在前面。如果你想升序排列，可以使用 `ASC` 关键字，如 `bs.commission_date ASC`。

python tag.has_attr()

相关推荐

exp_attr.rar_NEW

hdf_sd_attr.rar_IDL HDF_SD_IDL hdf EOS_attr_hdf

wps_attr_build.rar_building

Python 3.x中的元类与元编程

def __getattr__(self, attr): if attr in self.meters: return self.meters[attr] if attr in self.__dict__: return self.__dict__[attr] raise AttributeError("'{}' object has no attribute '{}'".format( type(self).__name__, attr))

env.get_attr()是什么函数

select pu.KNWLG_ID from KMS_PROPERTY_USAGE pu where pu.IND_ATTR_ID in ('1','2','3') 要求in 条件中的每一个条件值都满足，要如何修改sql

AttributeError: The vocab attribute was removed from KeyedVector in Gensim 4.0.0. Use KeyedVector's .key_to_index dict, .index_to_key list, and methods .get_vecattr(key, attr) and .set_vecattr(key, attr, new_val) instead.

python has_attr()

if args.data == 'CelebA': from data import CelebA train_dataset = CelebA(args.data_path, args.attr_path, args.img_size, 'train', args.attrs) valid_dataset = CelebA(args.data_path, args.attr_path, args.img_size, 'valid', args.attrs) 这段代码是什么意思

.load_anchors用法

最新推荐

zigbee-cluster-library-specification

管理建模和仿真的文件

MATLAB柱状图在信号处理中的应用：可视化信号特征和频谱分析

用Spring boot和vue写一个登录注册界面

JSBSim Reference Manual

"互动学习：行动中的多样性与论文攻读经历"

MATLAB柱状图在数据分析中的作用：从可视化到洞察

命名ACL和拓展ACL标准ACL的具体区别

c++校园超市商品信息管理系统课程设计说明书(含源代码) (2).pdf

关系数据表示学习

def getattr(self, attr): if attr in self.meters: return self.meters[attr] if attr in self.dict: return self.dict[attr] raise AttributeError("'{}' object has no attribute '{}'".format( type(self).name, attr))