Given data like this:
A B C D
1 MAX. Time MIN. Time
2 140 08:00 100 01:00
3 150 15:00 50 02:00
4 130 17:00 80 03:00
5 120 22:00 90 04:00
=MAX(A2:A5) will return 150 and
=MIN(C2:C5) will return 50
How can I find the values in COL B in same row as 150 (for MAX) and in COL D in the same row as 50 (for MIN)?
If you can confirm that you have only one max(min) value (if not, formula returns first occurance), you can simply use VLOOKUP:
=VLOOKUP(Max(A2:A5),A2:B5,2,0)
for min formulaa would be the same:
=VLOOKUP(Min(C2:C5),C2:D5,2,0)
Alternatively you can use more flexible formula:
=INDEX(B2:B5,MATCH(Min(C2:C5),C2:C5,0))
above formula finds min in column C and returns corresponding value from col B
Related
I have a pandas dataframe which gets updated every hour with latest hourly data. I have to filter out IDs based upon a threshold, i.e. PR_Rate > 50 and CNT_12571 < 30 for 3 consecutive hours from a lookback period of 5 hours. I was using the below statements to accomplish this:
df_thld=df[(df['Date'] > df['Date'].max() - pd.Timedelta(hours=5))& (df.PR_Rate>50) & (df.CNT_12571 < 30)]
df_thld.loc[:,'HR_CNT'] = df_thld.groupby('ID')['Date'].nunique().to_frame('HR_CNT').reset_index()
df_thld[(df_thld['HR_CNT'] >3]
The problem with this approach is that since lookback period requirement is 5 hours, so, this HR_CNT can count any non consecutive hours breaching this critieria.
MY Dataset is as below:
DataFrame
Date IDs CT_12571 PR_Rate
16/06/2021 10:00 A1 15 50.487
16/06/2021 11:00 A1 31 40.806
16/06/2021 12:00 A1 25 52.302
16/06/2021 13:00 A1 13 61.45
16/06/2021 14:00 A1 7 73.805
In the above Dataframe, threshold was not breached at 1100 hrs, but while counting the hours, 10,12 and 13 as the hours that breached the threshold instead of 12,13,14 as required. Each id may or may not have this critieria breached in a single day. Any idea, How can I fix this issue?
Please excuse me, if I have misinterpreted your problem. As I understand the issues you have a dataframe which is updated hourly. An example of this dataframe is illustrated below as df. From this dataframe, you want to filter only those rows which satisfy the following two conditions:
PR_Rate > 50 and CNT_12571 < 30
If and only if the threshold is surpassed for three consecutive hours
Given these assumptions, I would proceed as follows:
df:
Date IDs CT_1257 PR_Rate
0 2021-06-16 10:00:00 A1 15 50.487
1 2021-06-16 12:00:00 A1 31 40.806
2 2021-06-16 14:00:00 A1 25 52.302
3 2021-06-16 15:00:00 A1 13 61.450
4 2021-06-16 16:00:00 A1 7 73.805
Note in this dataframe, the only time fr5ame which satisfies the above conditions is the entries for the of 14:00, 15:00 and 16:00.
def filterFrame(df, dur, pr_threshold, ct_threshold):
ff = df[(df['CT_1257']< ct_threshold) & (df['PR_Rate'] >pr_threshold) ].reset_index()
ml = list(ff.rolling(f'{dur}h', on='Date').count()['IDs'])
r = len(ml)- 1
rows= []
while r >= 0:
end = r
start = None
if int(ml[r]) < dur:
r -= 1
else:
k = int(ml[r])
for i in range(k):
rows.append(r-i)
r -= k
rows = rows[::-1]
return ff.filter(items= rows, axis = 0).reset_index()
running filterFrame(df, 3, 50, 30) yields:
level_0 index Date IDs CT_1257 PR_Rate
0 1 2 2021-06-16 14:00:00 A1 25 52.302
1 2 3 2021-06-16 15:00:00 A1 13 61.450
2 3 4 2021-06-16 16:00:00 A1 7 73.805
A B C D E F
1 Results List A List B
2 Campaign Sales Campaign Sales Campaign Sales
3 Campaign_A 1.510 Campaign_A 500 Campaign_B 50
4 Campaign_B 120 Campaign_A 450 Campaign_B 40
5 Campaign_C 90 Campaign_A 560 Campaign_B 30
6 Campaign_D 1.650 Campaign_B 700 Campaign_C 80
7 Campaign_E 100 Campaign_B 710 Campaign_C 10
8 Campaing_F 70 Campaign_C 200 Campaign_F 70
9 Campaing_D 850
10 Campaing_D 800
11 Campaing_E 100
12 Campaing_F 320
13 Campaing_F 360
14 Campaing_F 290
15
16
The Excel table above consists of:
List A = Column C:D
List B = Column E:F
In each list campaigns can appear mutliple times.
In Column A:B I want to sum up the sales per campaign from the two lists using the SUMIF formula:
=SUMIF(C:C,A3,D:D)
=SUMIF(E:E,A3,F:F)
However, the List B should be prioritized over List A which means in case a campaign exists in List B (Column E) the SUMIF function should be only applied to List B and List A should be totally ignored.
The formula might look something like htis:
IF campaign exists in Column E then SUMIF(E:E,A3,F:F) else SUMIF(C:C,A3,D:D)
How can I achieve the desired results in Column B?
Or,
=IF(COUNTIF(E:E,A3)>0,SUMIF(E:E,A3,F:F),SUMIF(C:C,A3,D:D))
I would try with the following:
if(sumIf(E:E,A3,F:F)>0;sumIf(E:E,A3,F:F);sumIf(C:C,A3,D:D))
I have data in Excel that looks like this:
ID DATE COST TOTAL
1 01-01-18 50 100
1 01-01-18 25 100
1 01-01-18 25 100
2 01-03-18 25 100
2 01-03-18 25 100
2 01-03-18 50 100
1 02-01-18 100 100
I want to group by ID and Date then count the cost and ensure it quals to the total for that ID and date. So for example ID 1 and date 01-01-18 I want to count the 50 and 25 and 25 and compare it to 100 to return a true or false.
How can I do this?
SUMIFS will do what you want. Assuming your example data starts at A1, add a 5th column with this formula in cell E2:
=SUMIFS($C$2:$C$7,$A$2:$A$7,A2,$B$2:$B$7,B2)=D2
Then fill it down to cell E7.
I often need to search through columns to find the match to values and then return the according value.
My issue is that INDEXand MATCHalways return the first value in the column.
EX. I got 7 car dealers and this is the sales last month. Oslo and Berlin sold the same ammount and INDEX(D:E,MATCH(B1,E:E,0),1)) in column C will return the first hit from column D.
A B C D E
rank Sales Delaer
1 409 London | Tokyo 272
2 272 Tokyo | London 409
3 257 Hawaii | oslo 248
4 255 Stockholm | numbai 240
5 248 Oslo | Berlin 248
6 248 Oslo | hawaii 257
7 240 Numbai | Stockholm 255
At the moment my best solution is to first find the row each value in B got in E with MATCH(B1,E:E,0) and add that to a new column (column F). Then I can add another formula in the next column, which is what I currently have to do:
=IF(F2=F1;MATCH(F2;INDIRECT("F"&(1+F1)):$F$7;0))+F2
Is there a better approach at this?
In B2 use the following standard formula,
=IFERROR(LARGE(E$2:E$8, ROW(1:1)), "")
Fill down as necessary.
In C2 use the following standard formula,
=INDEX(D$2:D$8, AGGREGATE(15, 6, ROW($1:$7)/(E$2:E$8=B2), COUNTIF(B$2:B2, B2)))
Fill down as necessary.
[Optional] - Repair the ranking in column A.
In A2 use the following formula,
=SUMPRODUCT((B$2:B$8>=B2)/(COUNTIFS(B$2:B$8, B$2:B$8&"")))
Fill down as necessary.
I want to count how many vehicles are delayed more than 4 min on a given day according to a given departure (let's assume from 00:00 to 05:00).
This is a sample of the data:
A B C D
1 Line Day Departure Delayed (sec)
2 11 Weekday 02:30:00 120
3 11 Weekday 03:40:00 500
4 22 Weekday 01:45:00 10
5 44 Weekday 06:44:00 1000
6 55 Weekday 04:35:00 145
7 111 Saturday 14:40:00 450
8 111 Saturday 04:20:00 300
9 111 Saturday 20:20:00 220
10 111 Saturday 07:00:00 125
11 333 Sunday 09:15:00 700
I used a "TÆL.HVISER" function (Danish) or COUNT.IFS function to count the vehicles:
=TÆL.HVISER(A2:A11;"11";B2:B11;"Weekday";C2:C11;00:00:00>C2:C11>05:00:00;D2:D11;">240")
But it is not working. When I break this restriction into four restrictions, the individual restrictions are working but when I combine them it's not working.
I've laid out your data according to how I read your sample formula.
The EN-US formula in G4 is,
=COUNTIFS($A$2:$A$11, G$3, $B$2:$B$11, $F4, $C$2:$C$11, ">="&TIME(0, 0, 0), $C$2:$C$11, "<="&TIME(5, 0, 0), $D$2:$D$11, ">="&240)
Fill both right and down. I've use the TIME function so that a) real times could be referenced and b) it makes it easier to set to new values.
TÆL.HVISER, funktionen
Funktionen TID
It is the part
00:00:00>C2:C11>05:00:00
if you change it to two criteria like this
C2:C11;">00:00:00";C2:C11;"<05:00:00"
it will work. Here is the full formula:
=COUNTIFS(A2:A11;"11";B2:B11;"Weekday";C2:C11;">00:00:00";C2:C11;"<05:00:00";D2:D11;">240")