我有多个标签以单词" Shop“开头的输入域,即Shop Letter : Shop Letter No :Shop Letter File :我有一个下拉列表,它有两个选项"Shop”和"Store“。当从下拉列表中选择Store选项时,我想更改为Store。
以下是我到目前为止所做的工作;
<form action="" id="form_type">
<label for="type">Choose a type:</label>
<select id=
我想知道如何使用PHP和Mysql按月显示报表
网页上的报告示例:
January 2011
==============
Store Name | Total Order Cost
SHOP A | £123
SHOP B | £100
February 2011
==============
Store Name | Total Order Cost
SHOP A | £123
SHOP B | £100
SHOP C | £99.40
我有mysql表
tbl_shop
S
shopware6 first run向导的最后一步是“验证您的域”。我在http://localhost/shopware/sites/shopware1/public/上运行它,我应该在‘店铺域名’中输入什么?我几乎什么都试过了,但它显示我错了 Verification failed
The domain could not be verified
errors: [{code: "FRAMEWORK__STORE_ERROR", status: "500", title: "Verification failed",…}]
0: {c
我创建了以下查询:
select * from store str
left join(
select * from schedule sdl
where day = 3
order by
case when sdl.store_id is null then (
case when sdl.strong is true then 0 else 2 end
) else 1 end, sdl.schedule_id desc
) ovr on (ovr.store_id = str.store_id OR ovr.store_id IS NULL)
样
我正在使用laravel,但这并不重要,当您使用laravel命令行工具创建控制器时,它在其中放置了4个默认函数,用于创建和更新。
create和store用于save
edit和update为well update!
这就是laravel对商店控制器的建议。
class ShopController extends Controller
{
public function create()
{
// return create view
}
public function store(Request $request)
{
我正在尝试使用RSpec和Capybara编写一个特性规范,它在两种类型的session_stores之间切换: cookie_store和active_record_store,并期望用户在从active_record_store切换到cookie_store时仍保持登录状态。基本上,由于某些原因,我从active_record_store切换到cookie_store,并希望查看会话是否在配置更改的情况下保持存储状态。 这是我的session_store.rb文件: # Be sure to restart your server when you modify this file.
假设我有一个包含本地商店产品价格的源文件。 $ less SourceFile.txt # see this file using less function in terminal.
Store Price Dollars
>shop1 >price1 $5
>shop2 >price2 $3 而且,每个Store都有一些称为sub files的营销数据,不幸的是,这些数据并不完整。 $ less SubFile1.txt
>owner
TimmyCoLtd
>shop1
grape
$ less SubFile2.txt
>shop2
我试图将df1中任何匹配df3值并突出显示行的字符串的字体颜色更改为红色。我找不到任何关于改变字体颜色的信息。这些数据集是:
df1 = [ ‘i like to shop at store a.’ , ‘he likes to shop at the store b.’, ‘she is happy to shop at store c.’, 'we want to shop at the store d.']
df2 = [ ‘store a’, ‘store b’, ‘store c’, 'store d' ]
df3 = [ ‘like to’, ‘li
我正在尝试更改df1中的字符串的字体颜色,这些字符串位于Pandas的df3中。我的数据集是:
df1 = [ "i like to shop at store a." , "he likes to shop at the store b.", "she is happy to shop at store c.", 'we want to shop at the store d.']
df2 = [ "store a", "store b", "store c", 'stor
我有一个查询,在这里我想获取数据库中特定用户(所有者表)的所有事务。数据库是相当规范化的,因此从事务到所有者需要遍历许多表。我的表和相关的外键如下:
**owners**
-------
id
**store_shops**
-----------
id
owner_id
**service_shops**
-------------
id
owner_id
**products**
-------------
id
store_shop_id
**services**
------------
id
service_shop_id
**order_services**
------
当我提交我的表单时,我有以下内容: Started PATCH "/shop_products/12"
---
INFO -- : [f51ce4b8-f181-4da5-919a-01c99c703762] Processing by ShopProductsController#update as HTML
---
INFO -- : [f51ce4b8-f181-4da5-919a-01c99c703762] Parameters: {"utf8"=>"✓", "authenticity_token"=>
我生成了两个模型Prefecture和Shop。Shop属于Prefecture。
我会犯错误:
key :prefecture_name not found in:
# Ecto.Association.NotLoaded<association :prefecture is not loaded>
我写了以下代码。
Prefecture.ex
defmodule Sample.Prefecture do
use Ecto.Schema
import Ecto.Changeset
schema "prefectures" do
field :
我有一个字符串:
s = "grocery store not liquor shop not restaurant, sell milk"
,我想删除"not“之后的第一个字。如何在python中实现它?我希望得到如下结果:
"grocery store shop, sell milk"
或
"grocery store, sell milk"
如果也可以删除'not‘和任何标点符号/字符串结尾之间的所有单词。
我试图找一些不匹配的东西在两个表中,这应该是容易的,现在这工作很好。
Select *
from Shop_Import SI
where SI.productID not in (SELECT productref FROM Shop_Import_Cats)
但是这是我需要使用的SQL,但它只是不返回上面所做的1结果:
SELECT
'Insert into Shop_Import_Cats values ('
+ CAST(p.ProductID AS VARCHAR) + ','
+ CAST(c.CategoryID AS
一个名为keywords的文件,其中包含一个关键字列。另一个具有列domain的表domains。我想检查表keywords中的任何关键字是否出现在域中?
该怎么做呢?我想使用like运算符进行比较。我尝试了这个查询
SELECT domain
FROM domains, keywords
WHERE keyword like concat('%',domain,'%')
但是我总是得到空的一组。例如,我有一个keyowrd shop和一个名为'www.dailyshop.com‘的域名。现在shop就在上述域名内。所以在查询结果中应该显示'ww
| 1st Most Common Value | 2nd Most Common Value | 3rd Most Common Value | 4th Most Common Value | 5th Most Common Value |
|-----------------------|-----------------------|-----------------------|-----------------------|-----------------------|
| Grocery Store | Pub | Coffee