Input:
Order No Textbook Grade Time No of times to be repeated
1234 Biology 6 16:30-17:30 2
1235 Physics 7 20:00-21:00 3
Desired Output:-
1234 Biology 6 16:30-17:30
1234 Biology 6 16:30-17:30
1235 Physics 7 20:00-21:00
1235 Physics 7 20:00-21:00
1235 Physics 7 20:00-21:00
Give a try on below formula-
=INDEX(SPLIT(FLATTEN(SPLIT(JOIN("",INDEX(REPT(BYROW(A2:D3,LAMBDA(x,TEXTJOIN("|",0,x)))&"#",E2:E3))),"#")),"|"))
To make it dynamic spill array, use-
=INDEX(SPLIT(FLATTEN(SPLIT(JOIN("",INDEX(REPT(BYROW(A2:INDEX(D2:D,MATCH("zzz",D2:D)),LAMBDA(x,TEXTJOIN("|",0,x)))&"#",E2:INDEX(E2:E,MATCH(9^9,E2:E))))),"#")),"|"))
Input:
Order
No
Textbook
Grade
Time
1234
Biology
6
16:30-17:30
3
1235
Physics
7
20:00-21:00
1
Solution:
Use SEQUENCE to create a loop returning the current row for each iteration. The loop is accomplished through REDUCE:
=REDUCE(A1:D1,E2:INDEX(E:E,COUNTA(E:E)),
LAMBDA(a,c,
LAMBDA(row,
{
a;
IF(c > 1,
REDUCE(row,SEQUENCE(c-1),LAMBDA(a_,c_,{a_;row})),
row
)
}
)(OFFSET(c,0,-4,1,4))
)
)
Output:
Order
No
Textbook
Grade
1234
Biology
6
16:30-17:30
1234
Biology
6
16:30-17:30
1234
Biology
6
16:30-17:30
1235
Physics
7
20:00-21:00
Advantage:
No more string manipulation and emojis 😁
Related
On a sheet named, "Performance," I have data concerning stock trades in a row like so:
A B C D E F G H I J
1 TICKER TRADE OPEN DATE TRADE CLOSED DATE SHARES AVG BUY INVESTMENT AVG SALE PROCEEDS PROFIT/LOSS ROIC:
2 ABC 01/05/22 03/31/22 107 $14.22 -$1,521.54 $15.00 $1,605.00 $83.46 5.49%
3 BCA 01/05/22 03/31/22 344 $14.52 -$4,994.88 $15.00 $5,160.00 $165.12 3.31%
4 CAB 01/05/22 03/31/22 526 $12.55 -$6,601.30 $13.00 $6,838.00 $236.70 3.59%
... and so forth ...
Within the same workbook but on a separate sheet named, "Contributions/Withdrawals," I have a list of contributions and withdrawals like so:
A B
1 DATE AMOUNT
2 01/05/22 $700.00
3 02/05/22 $700.00
4 03/05/22 $400.00
5 03/15/22 -$7,000.00
... and so forth ...
I need to convert the first table of trade transactions into a vertical column format exactly like what is in the Contributions/Withdrawals table. (Note that each trade transaction actually represents two transactions, one for opening with its own date, and one for closing with its date.) Finally, I need to stack both tables of transactions in date order to make a combined chronological list of transactions so that I can run an XIRR formula on it.
The resulting table on a sheet named, "Cash Flows," needs to look like this:
A B
1 DATE AMOUNT
2 01/05/22 -$1,521.54
3 01/05/22 -$4,994.88
4 01/05/22 -$6,601.30
5 01/05/22 $700.00
6 02/05/22 $700.00
7 03/05/22 $700.00
8 03/10/22 $400.00
9 03/15/22 -$7000.00
10 03/31/22 $1,605.00
11 03/31/22 $5,160.00
12 03/31/22 $6,838.00
Using the following in cell A2 and B2...
A2 =SORT({Performance!$B$2:$B;Performance!$C$2:$C;'Contributions/Withdrawals'!$A$2:$A})
B2 =SORT({Performance!$F$2:$F;Performance!$H$2:$H;'Contributions/Withdrawals'!$B$2:$B})
...almost gets me there, but the transactions are not lining up with the correct dates. Google Sheets is ordering the amounts from smallest to largest. What I end up with is this:
A B
1 DATE AMOUNT
2 01/05/22 -$7,000.00
3 01/05/22 -$6,602.72
4 01/05/22 -$6,602.39
5 01/05/22 -$6,601.30
6 01/05/22 -$6,596.40
7 01/05/22 -$6,587.10
8 01/05/22 -$4,994.88
9 01/05/22 -$3,315.26
10 01/05/22 -$3,284.91
11 01/05/22 -$1,521.54
12 02/05/22 $400.00
13 03/05/22 $700.00
14 03/10/22 $700.00
15 03/15/22 $700.00
16 03/31/22 $1,605.00
17 03/31/22 $3.249.00
18 03/31/22 $3,731.00
19 03/31/22 $5,160.00
20 03/31/22 $6,348.00
21 03/31/22 $6,532.00
22 03/31/22 $6,786.00
23 03/31/22 $6,838.00
Any help would be appreciated. Thanks!
You are very close indeed! You should join both ranges in order to sort them by the first column:
=SORT({Performance!$B$2:$B;Performance!$C$2:$C;'Contributions/Withdrawals'!$A$2:$A,Performance!$F$2:$F;Performance!$H$2:$H;'Contributions/Withdrawals'!$B$2:$B})
(You may need to change that only comma to a inverted slash if you have another locale settings)
Table 1:
Position
Team
1
MCI
2
LIV
3
MAN
4
CHE
5
LEI
6
AST
7
BOU
8
BRI
9
NEW
10
TOT
Table 2
Position
Team
1
LIV
2
MAN
3
MCI
4
CHE
5
AST
6
LEI
7
BOU
8
TOT
9
BRI
10
NEW
Output I'm looking for is
Position difference = 10 as that is the total of the positional difference. How can I do this in excel/google sheets? So the positional difference is always a positive even if it goes up or down. Think of it as a league table.
Table 2 New (using formula to find positional difference):
Position
Team
Positional Difference
1
LIV
1
2
MAN
1
3
MCI
2
4
CHE
0
5
AST
1
6
LEI
1
7
BOU
0
8
TOT
2
9
BRI
1
10
NEW
1
Try this:
=IFNA(ABS(INDEX(A:B,MATCH(E2,B:B,0),1)-D2),"-")
Assuming that table 1 is at columns A:B:
I have three Arrayfire arrays that look like this:
Array 1 Array 2 Array 3
20 5 9
3 0 0
9 4 8
0 20 22
... ... ...
Using Arrayfire, I would like to generate 2 new arrays. The first should contain values from Array 1. Each value should be repeated a number of times dictated by the interval between the corresponding values in Array 2 (inclusive) and Array 3 (exclusive). The second array should contain an expansion of the values within each interval for each value from Array 1. Sorry if that's not clear. Here's the desired output to hopefully clarify:
Array 1 Array 2
20 5
20 6
20 7
20 8
9 4
9 5
9 6
9 7
0 20
0 21
... ...
The order of the output doesn't matter.
Thanks, in advance, from an Arrayfire novice.
I am trying to calculate points in a Formula 1 racing league. I'm having trouble with a bonus 15 points if a constructor qualifies 1st and finishes the race 1st. The issue is there could be two different drivers who do this. For example. As you can see, HAM qualified 1st and ROS finished 1st in the race. Because they both drive for Mercedes, 15 points need to be awarded to Mercedes. The data can't be moved around as it's imported using an API (not in the example) but a copy of the layout can be found here
Qualifying Race Driver Team
14 1 ROS mercedes
1 15 HAM mercedes
3 3 VET ferrari
8 4 RIC red_bull
6 5 MAS williams
19 6 GRO haas
10 7 HUL force_india
16 8 BOT williams
7 9 SAI toro_rosso
5 10 VES toro_rosso
13 11 PAL renault
Put this in I2 and copy down. See if that is how you want it:
=IF(AND(VLOOKUP(1, $A$2:$H$12, 8, FALSE)=VLOOKUP(1, $B$2:$H$12, 7, FALSE), VLOOKUP(1, $B$2:$H$12, 7, FALSE)=H2, MATCH(H2, H:H, 0)=ROW(H2)), 15, 0)
I have two dataframes df1 and df2 I want to join. Their indexes are not the same and they don't have any common columns. What I want is to join them based on the order of the rows, i.e. join the first row of df1 with the first row of df2, the second row of df1 with the second row of df2, etc.
Example:
df1:
'A' 'B'
0 1 2
1 3 4
2 5 6
df2:
'C' 'D'
0 7 8
3 9 10
5 11 12
Should give
'A' 'B' 'C' 'D'
0 1 2 7 8
3 3 4 9 10
5 5 6 11 12
I don't care about the indexes in the final dataframe. I tried reindexing df1 with the indexes of df2 but could not make it work.
You could assign to df1 index of df2 and then use join:
df1.index = df2.index
res = df1.join(df2)
In [86]: res
Out[86]:
'A' 'B' 'C' 'D'
0 1 2 7 8
3 3 4 9 10
5 5 6 11 12
Or you could do it in one line with set_index:
In [91]: df1.set_index(df2.index).join(df2)
Out[91]:
'A' 'B' 'C' 'D'
0 1 2 7 8
3 3 4 9 10
5 5 6 11 12
Try concat:
pd.concat([df1.reset_index(), df2.reset_index()], axis=1)
The reset_index() calls make the indices the same, then, concat with axis=1 simply joins horizontally.
I guess you can try to join them (doing this it performs the join on the index, which is the same for the two DataFrame due to reset_index):
In [18]: df1.join(df2.reset_index(drop=True))
Out[18]:
'A' 'B' 'C' 'D'
0 1 2 7 8
1 3 4 9 10
2 5 6 11 12