I want to verify the Content of a box.
This box can have 2 good values out of 5 possible values and I want to look, whether the value in the box is one of the 2 good values.
How can I do it? How do I use the operator "OR"?
Please help me.
Thank you.
I think you will need to buffer the box content and then use an Expression Evaluation with ||. I would imagine the expression evaluation would look something like {B[Box Content]} == 'Value1' || {B[Box Content} == 'Value2'
You can use Regex!
For Example the Value is 1 and you want to verify that the Value is 1,2,3,4 OR 5 then use the following syntax:
{REGEX[1|2|3|4|5]}
Related
I am trying use simple slice operator as follows, but the result is not correct.
arr = c(1,2,3,4,5,6,7)
arr[2:2+3]
I expected to get the sliced array 2,3,4,5 but instead I get 5. Does R interpret arr[2:2+3] as arr[2:2]+3 ? If so, then why?
The correct version of slice would be arr[2:(2+3)], right?
As #camille pointed out in the comment section, the reason of failure is due to the order of operations!
I am fairly new to using PeopleSoft BI Publisher plugin for MS Word and integrating it with PS Query Manager. My question is whether in the RTF file you can put logic to suppress or filter out data?
I have a for-each grouping that prints a line (row). I would like to add logic to NOT print the line if the Witholding amount field (M.WTHD_AMT) is equal to 0 (zero). My question is what would the syntax look like, and where should I place it (on the For Each grouping below, the Field level, or somewhere else?) I know I can alter the PS Query (data source) to do the filtering but I would like to leave that as-is and handle this in the template.
I see that there is another conditional IF statement ("rmt_") so I'm not sure if I can add this additional logic to that element or if I need a separate one. I appreciate any feedback!
EDIT:
I've added a new "Conditional Region" as suggested, and it works with just the WTHD_AMT criteria !0 to zero, however I tried added additional criteria where L.PYMNT_TYPE = 'R' and when I run the process it doesn't display data on the PDF output. Is there something wrong with the syntax? Do I need to have a separate Conditional Region for this 2nd criteria? I've seen another BI report where they have 2 or 3 criteria as part of one element.
<?if:number(M.WTHD_AMT)!=0.00?> and <?if:L.PYMNT_TYPE='R'?>
Option 1
You can nest <?if?> statements. Just add another <?end if?> at the end. Make sure there are no spaces between the all of the IF or END IF objects at the beginning or end of the content/row, else the row may still be displayed.
Option 2
You can add conditions in the repeating section. Below will repeat the region for every record where M.WTHD_AMT is not 0.00
<?for-each:record_path/record[M.WTHD_AMT!='0.00']?>
'Conditional Region' is the button you are looking for.
When using this button, make sure to double check where the if/endif or C/EC elements are added. It tends to ignore the selected element and join the elements to the start and end of the line. You will then need to cut and paste it into the right spot. For you this will probably be right after the F element and before the E element.
I’m looking for a simple expression that puts a ‘1’ in column E if ‘SomeContent’ is contained in column D. I’m doing this in Azure ML Workbench through their Add Column (script) function. Here’s some examples they give.
row.ColumnA + row.ColumnB is the same as row["ColumnA"] + row["ColumnB"]
1 if row.ColumnA < 4 else 2
datetime.datetime.now()
float(row.ColumnA) / float(row.ColumnB - 1)
'Bad' if pd.isnull(row.ColumnA) else 'Good'
Any ideas on a 1 line script I could use for this? Thanks
Without really knowing what you want to look for in column 'D', I still think you can find all the information you need in the examples they give.
The script is being wrapped by a function that collects the value you calculate/provide and puts it in the new column. This assignment happens for each row individually. The value could be a static value, an arbitrary calculation, or it could be dependent on the values in the other columns for the specific row.
In the "Hint" section, you can see two different ways of obtaining the values from the other rows:
The current row is referenced using 'row' and then a column qualifier, for example row.colname or row['colname'].
In your case, you obtain the value for column 'D' either by row.D or row['D']
After that, all you need to do is come up with the specific logic for ensuring if 'SomeContent' is contained in column 'D' for that specific row. In your case, the '1 line script' would look something like this:
1 if [logic ensuring 'SomeContent' is contained in row.D] else 0
If you need help with the logic, you need to provide more specific examples.
You can read more in the Azure Machine Learning Documentation:
Sample of custom column transforms (Python)
Data Preparations Python extensions
Hope this helps
I want to create a column that codes for whether patients have had a comorbid diagnosis of depression or not. Problem is, the diagnosis can be recorded in one of 4 columns:
ComorbidDiagnosis;
OtherDiagnosis;
DischargeDiagnosis;
OtherDischargeDiagnosis.
I've been using
levels(dataframe$ynDepression)[levels(dataframe$ComorbidDiagnosis)=="Depression"]<-"Yes"
for all 4 columns but I don't know how to code those who don't have a diagnosis in any of the columns. I tried:
levels(dataframe$ynDepression)[levels(dataframe$DischOtherDiagnosis &
dataframe$OtherDiagnosis &
dataframe$ComorbidDiagnosis &
dataframe$DischComorbidDiagnosis)==""]<-"No"
I also tried using && instead but it didn't work. Am I missing something?
Thanks in advance!
Edit: I tried uploading an image of some example data but I don't have enough reputations to upload images yet. I'll try to put an example here but might not work:
Patient ID PrimaryDiagnosis OtherDiagnosis ComorbidDiagnosis
_________AN__________Depression
_________AN
_________AN__________Depression______PTSD
_________AN_________________________Depression
What's inside the [] must be (transformable to) a boolean for the subset to work. For example:
x<-1:5
x[x>3]
#4 5
x>3
# F F F T T
works because the condition is a boolean vector. Sometimes, the booleanship can be implicite, like in dataframe[,"var"] which means dataframe[,colnames(dataframe)=="var"] but R must be able to make it a boolean somehow.
EDIT : As pointed out by beginneR, you can also subset with something like df[,c(1,3)], which is numeric but works the same way as df[,"var"]. I like to see that kind of subset as implicit booleans as it enables a yes/no choice but you may very well not agree and only consider that they enable R to select columns and rows.
In your case, the conditions you use are invalid (dataframe$OtherDiagnosisfor example).
You would need something like rowSums(df[,c("var1","var2","var3")]=="")==3, which is a valid condition.
This expression is to check number > 1
^[1-9]+[0-9]*$
what is the expression to check if
it's greater than a given value, say
"99" ?
what about a value less than, 99?
Update:
I'm using ASP.NET validation control.
Thanks.
You say this is homework, so I'll give my answer for greater than 57 instead; you can take the idea and modify it.
/^([6-9][0-9]|5[89]|[1-9][0-9]{2,})$/
If you don't have the {a,} construct,
/^([6-9][0-9]|5[89]|[1-9][0-9][0-9]+)$/
I agree with #Rowlf comment! You should not need a regex for doing this (unless this is an interview question :) ) . Just use '>'.
Well, your given regex ^[1-9]+[0-9]*$ is matches >=1 not only >1