I have following situation:
Report with nested groups, whether group column has value 1 or 2. Next child group has 2 groups for each parent group, so for parent group 1 there is two child groups (1-1 and 1-3), and also for parent group 2 I have two child groups (2-2 and 2-4).
My question is, how to set color to WhiteSmoke for rows from 1-1, and color White for rows from 1-3, and again WhiteSmoke for 2-2 and White for 2-4.
If there is order like 1, 2, 3, ..., then will be easy with using Mod operator, but my order is 1, 3, 2, 4 and i cannot find algorithm for alternating color
EDITED
I found the answer.
=IIF(RunningValue("NameofGrouptoAlternateColor", CountDistinct, "NameofParentGroup") Mod 2, "White", "Wheat")
This worked for me and I think it's what the original poster was trying to accomplish.
=IIF(RunningValue(Fields!FieldToGroupOn.Value, CountDistinct, "ParentGroupName") Mod 2, "LightGrey", "Transparent")
Where:
FieldToGroupOn is the field in the dataset you are grouping on and wish to produce alternating colors.
ParentGroupName is the name of the row group in the tablix that is the parent of the group you wish to alternate colors for.
assuming that this is the order: 1,3,2,4,5,7,6,8... you want to color only 3,4,7,8..
Then the expression should be:
=iif(RowNumber(Nothing) Mod 4 <> 0 AND
((RowNumber(Nothing)+1) Mod 4 <> 0), "White", "WhiteSmoke")
If I understood correctly you want to alternate colors on "group change".
If so, this is the solution:
IIf(RowNumber("TheNameOfYourGroup") Mod 2 = 0, "White", "WhiteSmoke")
That's the expression you use for your Background Color property.
I've forced to use custom code to achieve your goal, here is my solution:
Custom code section
Public Shared ReverseLookup = True
Public Function GetColor(ByVal currentValue As Integer, ByVal previosValue As Integer) As String
If ReverseLookup = True
If currentValue = previosValue Then
GetColor = "Gray"
Else
GetColor = "Green"
ReverseLookup = False
End If
Else
If currentValue = previosValue Then
GetColor = "Green"
Else
GetColor = "Gray"
ReverseLookup = True
End If
End If
End Function
And in the BackgroundColor property :
=Code.GetColor(Fields!secondid.Value, Previous(Fields!secondid.Value))
input parameters are current secondid value (value from paren group of details) and previos secondid value.
And here my result:
I believe that it is exactly what you need :)
Related
I have a COUNTIFS equation in excel (COUNTIFS($A$2:$A$6, "<=" & $C4))-SUM(D$2:D3) where A2toA6 is my_list. C4 is current 'bin' with the condition and D* are previous summed results from my_list that meet the condition. I am attempting to implement this in Python
I have looked at previous COUNTIF questions but I am struggling to complete the final '-SUM(D$2:D3)' part of the code.
See the COUNTIFS($A$2:$A$6, "<=" & $C4) section below.
'''
my_list=(-1,-0.5, 0, 1, 2)
bins = (-1, 0, 1)
out = []
for iteration, num in enumerate(bins):
n = []
out.append(n)
count = sum(1 for elem in my_list if elem<=(num))
n.append(count)
print(out)
'''
out = [1, [3], [4]]
I need to sum previous elements, that have already been counted, and remove these elements from the next count so that they are not counted twice ( Excel representation -SUM(D$2:D3) ). This is where I need some help! I used enumerate to track iterations. I have tried the code below in the same loop but I can't resolve this and I get errors:
'''
count1 = sum(out[0:i[0]]) for i in (out)
and
count1 = out(n) - out(n-1)
''''
See expected output values in 'out' array for bin conditions below:
I was able to achieve the required output array values by creating an additional if/elif statement to factor out previous array elements and generate a new output array 'out1'. This works but may not be the most efficient way to achieve the end goal:
'''
import numpy as np
my_list=(-1,-0.5, 0, 1, 2)
#bins = np.arange(-1.0, 1.05, 0.05)
bins = (-1, 0, 1)
out = []
out1 = []
for iteration, num in enumerate(bins):
count = sum(1 for elem in my_list if elem<=(num))
out.append(count)
if iteration == 0:
count1 = out[iteration]
out1.append(count1)
elif iteration > 0:
count1 = out[iteration] - out[iteration - 1]
out1.append(count1)
print(out1)
'''
I also tried using the below code as suggested in other answers but this didn't work for me:
'''
-np.diff([out])
print(out)
'''
Here is an example. I created a data frame and use that to create a datatable for visualization. As you can see, my column name and the row from the first column indicate conditions from A and B. What I want to do is to change the background color of a specific cell in this datatable. It is easy to select the column to change, as explained in this link (https://rstudio.github.io/DT/010-style.html). However, it is not obvious to me how to specify the row I want to select.
To give you more context, I am developing a Shiny app, and I would like to design a datatable allow me to color a cell based on the condition from A and B. For example, if A is less than 1 and B is between 1 and 2, I would like to be able to select the second cell from the A is less than 1 column. To acheive this, I will need to know how to specify the row number or row name. For now, I only know how to specify the rows based on the contents in the rows, as this example shows.
library(tibble)
library(DT)
dat <- tribble(
~`A/B`, ~`A is less than 1`, ~`A is between 1 and 2`, ~`A is larger than 2`,
"B is less than 1", 10, 30, 30,
"B is between 1 and 2", 20, 10, 30,
"B is larger than 2", 20, 20, 10
)
datatable(dat, filter = "none", rownames = FALSE, selection = "none",
options = list(dom = 't', ordering = FALSE)) %>%
formatStyle(
'A is less than 1',
backgroundColor = styleEqual(20, "orange")
)
I'm not sure to get the question, but if you want to change the background color of a cell given by its row index and its column index (that's what I understand), you can do:
changeCellColor <- function(row, col){
c(
"function(row, data, num, index){",
sprintf(" if(index == %d){", row-1),
sprintf(" $('td:eq(' + %d + ')', row)", col),
" .css({'background-color': 'orange'});",
" }",
"}"
)
}
datatable(dat,
options = list(
dom = "t",
rowCallback = JS(changeCellColor(1, 2))
)
)
Hi Stack Overflow Community,
I am researching how to create a query that conditionally assigns values in a user-defined column based upon values in another column. I didn't know if this was entirely possible, as I couldn't find any references on this. I know that it's possible to create a user-defined column by just entering in something like 'Yellow' As Color, but these are limited to static values.
I have provided an example of the output below, and the end result would be the user-defined column values would be a string.
X(Column from Table) Color(User-Defined Column)
1 if X = 1, Color = 'Brown'
2 if X = 2, Color = 'Blue'
3 if X = 3, Color = 'Red'
4 if X = 4, Color = 'Orange'
5 if X = 5, Color = 'Purple'
X Color
1 Brown
2 Blue
3 Red
4 Orange
5 Purple
Any input would be greatly appreciated, and thank you in advance!
Daniel
For small amount of available values i think case will be most appropriate.
SELECT X,
CASE
WHEN X = 1 THEN "Brown"
WHEN X = 2 THEN "Blue"
WHEN X = 3 THEN "Red"
WHEN X = 4 THEN "Orange"
WHEN X = 5 THEN "Purple"
ELSE "No color"
END AS Color
FROM Table;
I apologize in advance if this question is too specific or involved for this type of forum. I have been a long time lurker on this site, and this is the first time I haven't been able to solve my issue by looking at previous questions, so I finally decided to post. Please let me know if there is a better place to post this, or if you have advice on making it more clear. here goes.
I have a data.table with the following structure:
library(data.table)
dt = structure(list(chr = c("chr1", "chr1", "chr1", "chr1", "chrX",
"chrX", "chrX", "chrX"), start = c(842326, 855423, 855426, 855739,
153880833, 153880841, 154298086, 154298089), end = c(842327L,
855424L, 855427L, 855740L, 153880834L, 153880842L, 154298087L,
154298090L), meth.diff = c(9.35200555410902, 19.1839617944039,
29.6734426495636, -12.3375577709254, 50.5830043986142, 52.7503561092491,
46.5783738475184, 41.8662800742733), mean_KO = c(9.35200555410902,
19.1839617944039, 32.962962583692, 1.8512250859083, 51.2741224212646,
53.0928367727283, 47.4901932463221, 44.8441659366298), mean_WT = c(0,
0, 3.28951993412841, 14.1887828568337, 0.69111802265039, 0.34248066347919,
0.91181939880374, 2.97788586235646), coverage_KO = c(139L, 55L,
55L, 270L, 195L, 194L, 131L, 131L), coverage_WT = c(120L, 86L,
87L, 444L, 291L, 293L, 181L, 181L)), .Names = c("chr", "start",
"end", "meth.diff", "mean_KO", "mean_WT", "coverage_KO", "coverage_WT"
), class = c("data.table", "data.frame"), row.names = c(NA, -8L
))
These are genomic coordinates with associated values, the file is sorted by by chromosome ("chr") (1 through 22, then X, then Y), start and end position so that the first row contains the lowest numbered start position on chromosome 1, and proceeds sequentially for all data points on chromosome 1, then 2, etc. At this point, every single row has a start-end length of 1. After collapsing the start-end lengths will vary depending on how many rows were collapsed and their distance from the adjacent row.
1st: I would like to collapse adjacent rows into larger start/end ranges based on the following criteria:
The two adjacent rows share the same value for the "chr" column (row 1 "chr" = chr1, and row 2 "chr" = chr1)
The two adjacent rows have "start" coordinate within 500 of one another (if row 1 "start" = 1000, and row 2 "start" <= 1499, collapse these into a single row; if row1 = 1000 and row2 = 1500, keep separate)
The adjacent rows must have the same sign for the "diff" column (i.e. even if chr = chr and start within 500, if diff1 = + 5 and diff2 = -5, keep entries separate)
2nd: I would like to calculate the coverage_ weighted averages of the collapsed mean_KO/WT columns with the weighting by the coverage_KO/WT columns:
Ex: collapse 2 rows,
row 1 mean_1 = 5.0, coverage_1 = 20.
row 2 mean_1 =40.0, coverage_1 = 45.
weighted avg mean_1 = (((5.0*20)/(20+45)) + ((40.0*45)/(20+45))) = 29.23
What I would like the output to look like (except collapsed row means would be calculated and not in string form):
library(data.table)
dt_output = structure(list(chr = c("chr1", "chr1", "chr1", "chrX", "chrX"
), start = c(842326, 855423, 855739, 153880833, 154298086), end = c(842327,
855427, 855740, 153880842, 154298090), mean_1 = c("9.35", "((19.18*55)/(55+55)) + ((32.96*55)/(55+55))",
"1.85", "((51.27*195)/(195+194)) + ((53.09*194)/(195+194))",
"((47.49*131)/(131+131)) + ((44.84*131)/(131+131))"), mean_2 = c("0",
"((0.00*86)/(86+87)) + ((3.29*87)/(86+87))", "14.19", "((0.69*291)/(291+293)) + ((0.34*293)/(291+293))",
"((0.91*181)/(181+181)) + ((2.98*181)/(181+181))")), .Names = c("chr",
"start", "end", "mean_1", "mean_2"), row.names = c(NA, -5L), class = c("data.table", "data.frame"))
Help with either part 1 or 2 or any advice is appreciated.
I have been using R for most of my data manipulations, but I am open to any language that can provide a solution. Thanks in advance.
I am working on a Chart in my report.
As I have too many records where CountId = 1, I have set up a filter showing an available values list like this:
CountId :
1
2
3
Between 4 to 6
Between 7 to 9
Above 10
If I set the available value 1 or 2 or 3 it shows results, but I don`t know how to set a filter for between and above.
I want a filter some thing like this - available filters are:
1
2
3
4
Above 5 or greater than equal to 5
You've got a mix of operators, so maybe you should look at an expression based filter to try and handle these different cases, something like:
Expression (type Text):
=Switch(Parameters!Count.Value = "1" and Fields!Count.Value = 1, "Include"
, Parameters!Count.Value = "2" and Fields!Count.Value = 2, "Include"
, Parameters!Count.Value = "3" and Fields!Count.Value = 3, "Include"
, Parameters!Count.Value = "4 to 6" and Fields!Count.Value >= 4 and Fields!Count.Value <= 6, "Include"
, Parameters!Count.Value = "7 to 9" and Fields!Count.Value >= 7 and Fields!Count.Value <= 9, "Include"
, Parameters!Count.Value = "Above 10" and Fields!Count.Value >= 10, "Include"
, true, "Exclude")
Operator:
=
Value:
Include
This assumes a string parameter Count populated with the above values.
This works by calculating the parameter and field combinations to produce a constant, either Include or Exclude, then displaying all rows that return Include.
As mentioned in a comment, it's difficult to follow exactly what you're asking here. I've done my best but if you have more questions it would be best to update the question with some sample data and how you'd like this data displayed.