multiple-columns

Remove entire row based on match?

落爺英雄遲暮 提交于 2019-12-02 12:26:05
Need to remove multiple rows within a CSV file in Excel based on a match in column L on sheet1 with column A on sheet2. The content is email addresses. How can I achieve this? So, if sheet2 column A has an email address that matches any of the email addresses in sheet1 - Column L, than it should remove the entire row from sheet1 where that email address is located. Sheet1 below: Sheet2 below: @mehow, here's the image I get when I run your code as a module: This will work, very fast for what you are looking to do as it doesn't involve ANY loops. Sub DeleteDuplicates() Dim

Fulltext Indexing on MyISAM, single column vs multiple column indexing

旧巷老猫 提交于 2019-12-02 12:04:05
I have an extremely large table (4M+ rows) with disk space of more than 40Gb (14Gb data and 28Gb index). I needed fulltext search on multiple fields both combined and separated, meaning that I needed to make it possible to fulltext search on both single columns and multiple columns together, like below: for combined search SELECT `column_a`, `column_b` FROM `table_1` WHERE MATCH (`column_a`, `column_c`, `column_x`) AGAINST ('+$search_quesry*' IN BOOLEAN MODE); for separate search SELECT `column_a`, `column_b` FROM `table_1` WHERE MATCH (`column_a`) AGAINST ('+search_query*' IN BOOLEAN MODE);

three column web design with variable sides

◇◆丶佛笑我妖孽 提交于 2019-12-02 11:17:44
问题 I've been trying to come up with a way to create a 3 column web design where the center column has a constant width and is always centered. The columns to the left and right are variable. This is trivial in tables, but not correct semantically. I haven't been able to get this working properly in all current browsers. Any tips on this? 回答1: Use this technique, and simply specify a fixed width for the centre column. 回答2: Check this out: http://www.glish.com/css/2.asp And replace the width: xx%

Drop row based on two columns conditions

家住魔仙堡 提交于 2019-12-02 09:59:32
I have dataframe looks like this: df Data1 Data2 Data3 A XX AA A YY AA B XX BB B YY CC C XX DD C YY DD D XX EE D YY FF I want to delete all the row (column data3) based on two columns (data1 and data2) with the condition if the data on data3 is same the delete. my expected result looks like this: Data1 Data2 Data3 B XX BB B YY CC D XX EE D YY FF how to do it? Using groupby + transform with nunique yd=df[df.groupby(['Data1']).Data3.transform('nunique').gt(1)].copy() Out[506]: Data1 Data2 Data3 2 B XX BB 3 B YY CC 6 D XX EE 7 D YY FF You can also use a groupby with nunique , and a selection of

Start new column when readdir moves to new dir

余生颓废 提交于 2019-12-02 09:47:44
Original Issue: I am using readdir to snag file names from multiple directories. I was wondering if there is a way to arrange the data so that each time it starts a new directory it makes a new column i.e. ---| user1 | user2 | user3 | ---| file1a | file2a | file3a | ---| file1b | file2b | file3b | ---| file1c | file2c | file3c | ---| file1d | ^ | file3d | ---| file1e | | | ^ | ---| ^ | end | | | ---| | | dir2 | end | ---| end | #start | dir3 | ---| dir1 | col3 | etc. | ---| #start | | | ---| col2 | | | if this is possible that would be great; as far as displaying the user names across the top

Change Columns Name dynamically in sql

浪子不回头ぞ 提交于 2019-12-02 09:45:11
I have a query result like this : Date User1 User2 User3 .... ---------------------------------- 1/1/2000 55 78 98 ... 1/1/2001 26 33 56 ... 1/1/2002 88 67 12 ... The number of columns is not known because it is the result of a pivot query. I would like to change the name the columns to something that looks like this : Date User1 (blue) User2 (green) User3(brown) The color is an information I retrieve from another table. How can I achieve this ? Thanks Edit : Here is the query. DECLARE @cols AS NVARCHAR(MAX), @query AS NVARCHAR(MAX) select @cols = STUFF((SELECT distinct ',' + QUOTENAME(C.Name)

Make a separate row if a column contains comma-separated value

余生长醉 提交于 2019-12-02 08:26:36
问题 Let's suppose we have a simple select query which return result like below FirstName LastName PayScale ----------- ------------ --------------- Craig L 150000 Alice,Lisa simons 100000 So if we have comma-separated first name, then I want result like this FirstName LastName PayScale ----------- ------------ --------------- Craig L 150000 Alice simons 100000 Lisa simons 100000 回答1: You can write a query as: DECLARE @employee TABLE (FirstName VARCHAR(100), LastName VARCHAR(100), PayScale INT)

Set Column Width in DataSheet View in Split Form

拜拜、爱过 提交于 2019-12-02 07:11:10
问题 Hi I have an Access Database and a simple Change Record Table. I also have a Form where I have got all the fields in the top half of the screen and a Datasheet View in the Bottom. See below. I am trying to set the column widths evenly distributed across the entire width of the screen but so far been unsuccessful. My code is as follows : Private Sub Form_Load() Dim currentFormWidth As Integer currentFormWidth = Me.Width MsgBox ("Current width of my form is : " & currentFormWidth) Dim

How do I create a row of justified elements with fluid spacing using CSS?

瘦欲@ 提交于 2019-12-02 07:00:28
问题 How do I create a row of block elements with auto widths using text-align:justify , display: flex , column-count and/or other CSS properties? 回答1: Use the following components: A text-align:justify container for the row An inline-block container for each column An inline-block placeholder with width:100% to stretch the inside ` /*Row container is justified*/ #container { width: 100%; text-align: justify; } /*Column container and placeholder are inline-block*/ object, span { display: inline

dynamically join two spark-scala dataframes on multiple columns without hardcoding join conditions

 ̄綄美尐妖づ 提交于 2019-12-02 06:54:22
问题 I would like to join two spark-scala dataframes on multiple columns dynamically. I would to avoid hard coding column name comparison as shown in the following statments; val joinRes = df1.join(df2, df1("col1") == df2("col1") and df1("col2") == df2("col2")) The solution for this query already exists in pyspark version --provided in the following link PySpark DataFrame - Join on multiple columns dynamically I would like to code the same code using spark-scala 回答1: In scala you do it in similar