colz | Javascript library to convert colors
kandi X-RAY | colz Summary
kandi X-RAY | colz Summary
Colz. Javascript library to convert colors between RGB / Hex / HSL / HSV / HSB color spaces. It provides several toString helpers to ease its use in CSS / HTML5 Canvas projects. Also provides some helpers to create "color schemes" or "color palettes".
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Top functions reviewed by kandi - BETA
- Finished up the module
- Extract the stacktrace from an Error .
- Check whether a test test is valid .
- Escape text .
- Process the queue
- Poller - effects of a glob
- Returns a new Array with elements in a and b .
- runs the tests
- Copy properties from one object to another
- Check if an element is in an array
colz Key Features
colz Examples and Code Snippets
Community Discussions
Trending Discussions on colz
QUESTION
I have a 10 by 6 matrix and I'd like to multiply columns 2:6 by column 1, then columns 3:6 by column 2, and so on until I'm left with column 5 * column 6. The matrix is below.
...ANSWER
Answered 2021-Dec-07 at 19:03If I'm understanding correctly, we can use the cumulative product cumprod
function applied to each row:
QUESTION
There are a dozens similar sounding questions here, I think I've searched them all and could not find a solution to my problem:
I have 2 df: df_c:
...ANSWER
Answered 2021-Aug-12 at 12:36IIUC:
use append()
+groupby()
:
QUESTION
I have 2 data sets:
...ANSWER
Answered 2021-Apr-23 at 15:09I suspect you're not trying to merge on actual dates but a month so you're using a formatted value most likely. So set your dates to the beginning of the month or convert them to YYMM to merge.
QUESTION
I am trying to create my own function that contains 1.) the mgcv gamm function and 2.) a nested autocorrelation (ARMA) argument. I am getting an error when I try to run the function like this:
...ANSWER
Answered 2021-Feb-12 at 17:13You are confusing a vector with the symbolic representation of that vector when building a formula.
You don't want dfz[[colz]]
as the response in the formula, you want x
or whatever you set colz
too. What you are getting is
QUESTION
I'm attempting to erase elements from a vector, by index, which has been passed by reference to some function. Typically, I'd do so like this:
...ANSWER
Answered 2021-Jan-18 at 05:14One of i
, j
, or k
will be the size of its respective container. The erase call for that element will be equivalent to a.erase(a.begin() + a.size())
, or a.erase(a.end())
. The iterator passed to erase
must be valid and dereferenceable. The end iterator is not derefenceable and cannot be passed to erase
.
You must check that the index is in range before using it in your erase
call.
QUESTION
library(openxlsx)
x <- data.frame(colx = c(1:5),
col = c(2:6))
y <- data.frame(coly = c(1:5),
col = c(2:6))
z <- data.frame(colz = c(1:5),
col = c(2:6))
a <- list(one9 = x,
two9 = y,
three9 = z)
write.xlsx(a) #gives 3 sheets (named: one9, two9, three9) in 1 file
...ANSWER
Answered 2020-Oct-27 at 20:49You can name your list using e.g. setNames
:
QUESTION
I am working with AWS Lambda and have the following output:
The output is:
...ANSWER
Answered 2020-Oct-22 at 09:36- You can delete the keys which you don't want
QUESTION
I have two tables A , B
A
...ANSWER
Answered 2020-Oct-09 at 09:38You can join the same table twice with different conditions like this:
QUESTION
I'm using pyspark to perform a join
of two tables with a relatively complex join condition (using greater than/smaller than in the join conditions). This works fine, but breaks down as soon as I add a fillna
command before the join.
The code looks something like this:
...ANSWER
Answered 2020-Aug-27 at 20:18In order to "replace" empty values, a new dataframe is created that contains new columns. These new columns have the same names like the old ones but are effectively completely new Spark objects. In the Scala code you can see that the "changed" columns are newly created ones while the original columns are dropped.
A way to see this effect is to call explain on the dataframe before and after replacing the empty values:
QUESTION
I am currently building a Shiny App that is based on a previous MS Access App. I need to replicate MS Access queries behind each Shiny app button in SQL Server. What is the best way to reuse the SQL syntax in MS Access in R (i.e., copy-paste the MS Access query directly in R)?
Indeed it appears that Access SQL is slightly different from SQL Server syntax and therefore I cannot simply do it using either DBI (dbGetQuery()
, dbExecute()
, dbSendQuery()
) or dbplyr (sql()
).
Here is an example with MS Access SQL syntax in R. ("100%" is left on purpose as a table name contains that string.)
...ANSWER
Answered 2020-Aug-14 at 15:49Access has a quite curious and atypical UPDATE
syntax with joins that allows it to update multiple tables simultaneously and merge data (add rows to tables).
SQL Server has a different syntax, where you need to be explicit about which table you're updating.
The rewrite, however, is simple:
List the table you're updating after the
UPDATE
keyword.Move all the joins, including that table, to a
FROM
clause.Also, no exclamation marks instead of dots in SQL Server, but I recommend you avoid these in Access as well for compatibility.
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