- For Loop In R List Of All Values From Column How To Iterate Over#
- For Loop In R List Of All Values From Column Series That I#
For Loop In R List Of All Values From Column How To Iterate Over
On the 10th time, i=1 and thus this kicks the program out of the loop.Alternatively we can also loop over all elements using the row names and column names if we have a named matrix. Iterate over the index range from o to max number of columns in dataframe.Therefore, the above code should iterate through the loop 9 times, decrementing our loop iterator (i) by one each time. Let’s see how to iterate over all columns of dataframe from 0th index to last index i.e. 0 to Max number of columns then for each index we can select the columns contents using iloc. 8 Creating a list of lists.To iterate over the columns of a Dataframe by index we can iterate over a range i.e.
The adding of one in this case is required since we aren’t truly “checking” each time we go through the loop. Here we FILTER our “loop” table according to our boundary case and add one. The big difference is the checking for our “boundary case”, when we should kick out of the loop. This construct is very similar to the “for” loop above.
Sounds like a “while” loop. So basically, the source data table looked like this:In order to answer this question, it is necessary to iterate over the table for each week, decrementing the current inventory on hand until a negative value is reached, indicating that inventory has run out. Obviously, those theoretical examples are a long way of doing a whole bunch of nothing! So the real question becomes, can we put this theory to use for something practical? As it so happens, the answer is yes!In the forum post that I mentioned earlier, the question being asked was essentially a question about how many days it would take for a specified inventory to run out given a certain forecasted demand per week.
This solution is posted to the Power BI Quick Measures Gallery as “ Days of Supply“. We will simply point out that this is a practical example of implementing what is essentially a “while” loop in DAX. Multiply this by 7// and this is the number of days in that week before inventory ran outVAR _extraDays = _min / (_min + ABS(_max)) * 7The code above is pretty well documented so we won’t spend additional time explaining it. This is the percentage of days in that week before inventory ran out.
For Loop In R List Of All Values From Column Series That I
It's brutally manual, but has some potential applications and follows a similar pattern.So, first, create a table like this: Fibonacci = GENERATESERIES(0,12,1)VAR _table0 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=0),"Value",)VAR _table0a = ADDCOLUMNS(_table0,"Fib",0)VAR _table1 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=1),"Value",)VAR _table1a = ADDCOLUMNS(_table1,"Fib",1)VAR _table2 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=2),"Value",)VAR _table2a = ADDCOLUMNS(_table2,"Fib",SUMX(UNION(_table0a,_table1a),))VAR _table3 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=3),"Value",)VAR _table3a = ADDCOLUMNS(_table3,"Fib",SUMX(UNION(_table1a,_table2a),))VAR _table4 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=4),"Value",)VAR _table4a = ADDCOLUMNS(_table4,"Fib",SUMX(UNION(_table2a,_table3a),))VAR _table5 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=5),"Value",)VAR _table5a = ADDCOLUMNS(_table5,"Fib",SUMX(UNION(_table3a,_table4a),))VAR _table6 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=6),"Value",)VAR _table6a = ADDCOLUMNS(_table6,"Fib",SUMX(UNION(_table4a,_table5a),))VAR _table7 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=7),"Value",)VAR _table7a = ADDCOLUMNS(_table7,"Fib",SUMX(UNION(_table5a,_table6a),))VAR _table8 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=8),"Value",)VAR _table8a = ADDCOLUMNS(_table8,"Fib",SUMX(UNION(_table6a,_table7a),))VAR _table9 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=9),"Value",)VAR _table9a = ADDCOLUMNS(_table9,"Fib",SUMX(UNION(_table7a,_table8a),))VAR _table10 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=10),"Value",)VAR _table10a = ADDCOLUMNS(_table10,"Fib",SUMX(UNION(_table8a,_table9a),))VAR _table11 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=11),"Value",)VAR _table11a = ADDCOLUMNS(_table11,"Fib",SUMX(UNION(_table9a,_table10a),))VAR _table12 = SELECTCOLUMNS(FILTER(ALL('Fibonacci'),=12),"Value",)VAR _table12a = ADDCOLUMNS(_table12,"Fib",SUMX(UNION(_table10a,_table11a),))VAR _table = UNION(_table0a,_table1a,_table2a,_table3a,_table4a,_table5a,_table6a,_table7a,_table8a,_table9a,_table10a,_table11a,_table12a)SUMX(FILTER(_table,=_value),)So, one way to preserve "previous value" or othewise seed a "looping" calculation. However, I did sucessfully create a measure to calculate the Fibonacci series that I was going to post another article about. It's not easy, DAX hates recursion and anything that involves "previous value" and such has this kind of problem.
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