numeric

Only allowing up to three digit numeric characters in a text box

ぃ、小莉子 提交于 2019-11-29 17:05:14
Is there a way to only allow a user to input a maximum number of characters into a text box? I want the user to input a mark/grade and only be able to input 0 - 100. Below I have code that monitors the keystroke and only allows for numbers to be input, but I want to find a way to only allow the user to input a number with a minimum value of 0 and a maximum of 100. private void TxtMark4_KeyPress(object sender, KeyPressEventArgs e) { if (e.KeyChar < '0' || e.KeyChar > '9' || e.KeyChar == ' ') { e.Handled = true; } else { e.Handled = false; } } or I could use the following: if (e.KeyChar >= 48 &&

How to make input field type both numeric and password? [duplicate]

人盡茶涼 提交于 2019-11-29 16:32:44
问题 This question already has an answer here: Is there a way to have a masked numeric input field? 1 answer I'm aware of this: <input type="tel"> and I'm aware of this: <input type="password"> But I would like to use both. I want the numeric keypad to come up on iOS (specifically) but hide each character after it's typed. Is something like this possible? <input type="tel|password"> 回答1: For iOS you can set the input to type "password" and still trigger the numeric-keyboard using the HTML5

How does ‘1 * BigInt(1)’ work and how can I do the same?

只愿长相守 提交于 2019-11-29 15:31:56
I try to implement some number type and I hit the issue that mynum * 1 works, but not 1 * mynum I tried to define an implicit conversion like this case class Num(v: Int) { def * (o: Int) = new Num(v*o) } implicit def int2Num(v: Int) = Num(v) but it doesn't seem work, because I always get the following error: scala> 1 * new Num(2) <console>:14: error: overloaded method value * with alternatives: (x: Double)Double <and> (x: Float)Float <and> (x: Long)Long <and> (x: Int)Int <and> (x: Char)Int <and> (x: Short)Int <and> (x: Byte)Int cannot be applied to (Num) 1 * new Num(2) ^ On the other hand 1 *

No dimensions of non-empty numeric vector in R

给你一囗甜甜゛ 提交于 2019-11-29 13:37:20
I have a problem with my numeric vector and dim() in R. I want to know the dimensions of my vector X with: dim(X) However, that function returns NULL. If I type: X I can see that the X is not empty. Why does dim or nrow report it as "NULL"? Part of X: [93486] 6.343e-01 6.343e-01 6.343e-01 6.343e-01 6.343e-01 6.343e-01 6.346e-01 [93493] 6.346e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 [93500] 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 [93507] 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 6.347e-01 [93514] 6.347e-01 6.347e-01 6.347e

Validation in textbox in WPF

限于喜欢 提交于 2019-11-29 06:26:26
I am currently working on a WPF application where I would like to have a TextBox that can only have numeric entries in it. I know that I can validate the content of it when I lost the focus and block the content from being numeric, but in other Windows Form application, we use to totally block any input except numerical from being written down. Plus, we use to put that code in a separate dll to reference it in many places. Here is the code in 2008 not using WPF: Public Shared Sub BloquerInt(ByRef e As System.Windows.Forms.KeyPressEventArgs, ByRef oTxt As Windows.Forms.TextBox, ByVal

How can i convert a factor column that contains decimal numbers to numeric?

梦想的初衷 提交于 2019-11-29 04:36:11
I have a csv file and when i use this command SOLK<-read.table('Book1.csv',header=TRUE,sep=';') I get this output > SOLK Time Close Volume 1 10:27:03,6 0,99 1000 2 10:32:58,4 0,98 100 3 10:34:16,9 0,98 600 4 10:35:46,0 0,97 500 5 10:35:50,6 0,96 50 6 10:35:50,6 0,96 1000 7 10:36:10,3 0,95 40 8 10:36:10,3 0,95 100 9 10:36:10,4 0,95 500 10 10:36:10,4 0,95 100 . . . . . . . . . . . . 285 17:09:44,0 0,96 404 the str(SOLK) outcomes this 'data.frame': 285 obs. of 3 variables: $ Time : Factor w/ 174 levels "10:27:03,6","10:32:58,4",..: 1 2 3 4 5 5 6 6 7 7 ... $ Close : Factor w/ 8 levels "0,92","0,93

Replacing commas and dots in R

a 夏天 提交于 2019-11-29 02:55:57
问题 I have a whole column of numbers that include dot separators at the thousands and comma instead of dot as an dismal separator. When I try to create a numeric column out of them, I lose all data. var1 <- c("50,0", "72,0", "960,0", "1.920,0", "50,0", "50,0", "960,0") df <- cbind(var1, var2 = as.numeric(gsub(".", "", as.character(var1)))) and wound up with: var1 var2 [1,] "50,0" NA [2,] "72,0" NA [3,] "960,0" NA [4,] "1.920,0" NA [5,] "50,0" NA [6,] "50,0" NA [7,] "960,0" NA What am I doing

Why SQL Server throws Arithmetic overflow error converting int to data type numeric?

时光总嘲笑我的痴心妄想 提交于 2019-11-29 00:48:48
I have an error being thrown by SQL Server Management Studio when running this code: declare @percentage numeric(3,2) set @percentage = cast(15 as numeric(3,2)) but when I change numeric declaration to declare @percentage numeric(4,2) set @percentage = cast(15 as numeric(4,2)) everything goes fine. Is there a limitation for numeric data type? Numeric defines the TOTAL number of digits, and then the number after the decimal. A numeric(3,2) can only hold up to 9.99. Lets see, numeric (3,2). That means you have 3 places for data and two of them are to the right of the decimal leaving only one to

SQL Server : error converting data type varchar to numeric

不想你离开。 提交于 2019-11-28 22:32:36
问题 I have a table: Account_Code | Desc 503100 | account xxx 503103 | account xxx 503104 | account xxx 503102A | account xxx 503110B | account xxx Where Account_Code is a varchar . When I create a query below: Select cast(account_code as numeric(20,0)) as account_code, descr from account where isnumeric(account_code) = 1 It runs well by returning all record that have a valid numeric value in account_code column. But when I try to add another select, nested to prior sql: select account_code,descr

Difference between DECIMAL and NUMERIC

社会主义新天地 提交于 2019-11-28 22:21:40
What's the difference between the SQL datatype NUMERIC and DECIMAL ? If databases treat these differently, I'd like to know how for at least: SQL Server Oracle Db/2 MySQL PostgreSQL Furthermore, are there any differences in how database drivers interpret these types? David They are the same for almost all purposes. At one time different vendors used different names (Numeric/Decimal) for almost the same thing. SQL-92 made them the same with one minor difference which can be vendor specific: NUMERIC must be exactly as precise as it is defined — so if you define 4 decimal places, the DB must