pivot

Move up values when null Power Query

守給你的承諾、 提交于 2020-12-15 07:57:26
问题 At this moment I have a big table in Excel that I would like to use with dynamic dropdown (cascade options). Depending on the selection you do on the first dropdown, then in the next cell, you should have a filtered drop down menu. Also, any option is unique for the main category selected. The first thing I did was to take the columns I need and pivot them so it looks something similar to this (C are the column names and V are the values. Since any option is unique for any category, I have

BigQuery and Google Analytics SQL query

╄→гoц情女王★ 提交于 2020-12-15 05:19:55
问题 I am trying to build up a matrix out of a table that is imported from Google Analytics data into BigQuery. The table represents hits on a website that contain session_IDs alongside some properties such as the url, timestamp etc. Also, there are some metadata based on user-defined actions that we refer to as events. Below is an example of the table. session_id hit_timestamp url event_category 1 11:12:23 url134 event1 1 11:14:23 url2234 event2 1 11:16:23 url_target null 2 03:12:11 url2344

拿去,8个Python高效数据分析的技巧!

强颜欢笑 提交于 2020-12-13 10:26:32
Python实战社群 Java实战社群 长按识别下方二维码, 按需求添加 扫码关注添加客服 进Python社群▲ 扫码关注添加客服 进Java社群 ▲ 文章来源于网络 来源|CSDN 这篇文章介绍了8个使用Python进行数据分析的方法,不仅能够 提升运行效率,还能够使代码更加“优美”。 1 一行代码定义List 定义某种列表时,写For 循环过于麻烦,幸运的是,Python有一种内置的方法可以在一行代码中解决这个问题。下面是使用For循环创建列表和用一行代码创建列表的对比。 x = [1,2,3,4] out = [] for item in x: out.append(item**2) print(out) [1, 4, 9, 16] # vs. x = [1,2,3,4] out = [item**2 for item in x] print(out) [1, 4, 9, 16] 2 Lambda表达式 厌倦了定义用不了几次的函数?Lambda表达式是你的救星!Lambda表达式用于在Python中创建小型,一次性和匿名函数对象, 它能替你创建一个函数。 lambda表达式的基本语法是: lambda arguments: expression 注意! 只要有一个lambda表达式,就可以完成常规函数可以执行的任何操作。 你可以从下面的例子中,感受lambda表达式的强大功能

Can you choose any pivot you want in quicksort?

杀马特。学长 韩版系。学妹 提交于 2020-12-11 10:05:50
问题 I recently saw Quick Sort - Computerphile video on Youtube about how quicksort works (on paper) and I have a question. Imagine that we have an array that contains for example "27,6,19,2,15,9,10" . In first place I choose 10 as pivot and the array becomes like this: 9,2,6 |10| 27,19,15 . Then I choose 6 as pivot for the left unsorted array and it becomes 2 |6| 9 and for the right one I choose 19 as a pivot and the right unsorted array becomes 15 |19| 27 . The question is: Can I choose any

web前端常见面试题

假装没事ソ 提交于 2020-12-10 06:42:21
1、什么是盒子模型? CSS 盒模型(Box Model),又称框模型。它包括:content、padding、border、margin,所有HTML元素都可以看作盒子。 注: 当通过CSS指定一个元素的宽度和高度属性时,只是设置了实际内容区域的宽度和高度。 一旦为页面设置了恰当的 DTD,浏览器会使用标准盒模型(标准模式),而DTD缺失则在ie6,ie7,ie8下将会使用IE盒模型(怪异模式)。 标准盒模型 元素总宽度 = width + (padding + border + margin)* 2 IE盒模型 元素总宽度 = width + margin * 2 2、行内元素有哪些?块级元素有哪些? 空(void)元素有那些? 行内元素:a、b、span、img、input、strong、select、label、em、button、textarea 块级元素:div、form、ul、li、dl、dt、dd、p、h1-h6、blockquote 空元素:即系没有内容的HTML元素,例如: meta、link 、br、hr、input、img 3、CSS实现垂直水平居中 方法一: 给元素设置一个显示宽度,并设置左右margin为auto 方法二: 父元素设置相对定位 position: relative; 子元素设置绝对定位,并设置top、left、margin-top

如何在数据库中利用高频数据找到最相关的股票

假如想象 提交于 2020-12-09 10:31:39
在制定投资策略时,我们往往会研究股票之间的相关性。研究个股的相关性或者个股与指数,ETF之间的相关性,从而通过对冲套利来获得稳定收益。找到最相关的股票,可以根据交易员的经验,也可以根据股票的相关信息(行业,beta,每日回报等)。 本文将介绍如何利用海量的高频数据寻找最相关的股票。 假设我们有一个数据表quotes,包含以下字段: symbol:股票代码 date:日期 time:时间 bid:买入价格 ofr:卖出价格 下面以纽约证券交易所2007年8月一个月实时报价数据的数据表quotes为例,计算股票在2007年8月1日的两两相关性。 选择500只最具流动性的股票。注意,由于本文使用的是纽约证券交易所的数据集,所以开盘时间是9:30-16:00。 dateValue=2007.08.01 num=500 syms = (exec count(*) from quotes where date = dateValue, time between 09:30:00 : 15:59:59, 0<bid, bid<ofr, ofr<bid*1.2 group by Symbol order by count desc).Symbol[0:num] 2. 构造股票每分钟交易价格的矩阵。列表示股票,行表示分钟。 priceMatrix = exec avg(bid + ofr)/2.0

Accessing Pivot table “3rd Model relationship” in Laravel Eloquent

倾然丶 夕夏残阳落幕 提交于 2020-12-03 14:59:49
问题 I have this Many-to-Many relation Laravel Eloquent relationship The Models are: class Email extends Model //actually represent the email account { protected $table = 'emails'; protected $fillable = [ 'user_id', 'name', ]; public function messages() { return $this->belongsToMany(Message::class)->withPivot('email_subtype_id'); } } class Message extends Model //actually represent the email message { protected $table = 'messages'; protected $fillable = [ 'subject', 'body ', ]; public function

Pandas, Pivot table from 2 columns with values being a count of one of those columns

社会主义新天地 提交于 2020-12-01 07:59:31
问题 I have a pandas dataframe: +---------------+-------------+ | Test_Category | Test_Result | +---------------+-------------+ | Cat_1 | Pass | | Cat_1 | N/A | | Cat_2 | Fail | | Cat_2 | Fail | | Cat_3 | Pass | | Cat_3 | Pass | | Cat_3 | Fail | | Cat_3 | N/A | +---------------+-------------+ I need a table like this: +------+------+------+-----+ | | Pass | Fail | N/A | +------+------+------+-----+ | Cat1 | 1 | | 1 | | Cat2 | | 2 | | | Cat3 | 2 | 1 | 1 | +------+------+------+-----+ I tried using

Pandas, Pivot table from 2 columns with values being a count of one of those columns

不打扰是莪最后的温柔 提交于 2020-12-01 07:58:09
问题 I have a pandas dataframe: +---------------+-------------+ | Test_Category | Test_Result | +---------------+-------------+ | Cat_1 | Pass | | Cat_1 | N/A | | Cat_2 | Fail | | Cat_2 | Fail | | Cat_3 | Pass | | Cat_3 | Pass | | Cat_3 | Fail | | Cat_3 | N/A | +---------------+-------------+ I need a table like this: +------+------+------+-----+ | | Pass | Fail | N/A | +------+------+------+-----+ | Cat1 | 1 | | 1 | | Cat2 | | 2 | | | Cat3 | 2 | 1 | 1 | +------+------+------+-----+ I tried using