So if I have a column such as:
A1
1 Apple
2 Apple
3 Apple
4 Oj
5 Oj
6 Oj
7 Oj
8 Pear
9 Pear
How could I return the values 1 & 3 for Apple, 4 & 7 for OJ, etc?
Formula-wise you can use MATCH functions, e.g. for first Apple position
=MATCH("Apple",A1:A9,0)
for last
=MATCH(2,INDEX(1/(A1:A9="Apple"),0))
or if the fruit are sorted as per your example (or merely grouped) you can get the last by adding the number of apples to the first -1
so with first MATCH function in C1 that would be
=COUNTIF(A1:A9,"Apple")+C1-1
Related
I have the following table
Name
Point
Bonus
Total
Pos
1st
Name
2nd
Name
Bob
10
8
6
Point
11
10
Sue
9
5
3
Bonus
12
9
Joe
11
2
4
Total
10
7
Susan
7
9
10
Tim
1
12
4
Ellie
9
8
7
In G2 I have the following formula
{=LARGE(IF($B$1:$D$1 =$F2, $B:$D),1)}
Which returns the largest Point value, as 11.
In H2 I want to return the name where the Point value is 11. so the value for H2 should be Joe
Then in J2 want to do the same for the 2nd largest value. So the value of J2 should be Bob
I have used following formulas as per attached scheenshot.
G2=LARGE(INDEX($B$2:$D$7,,MATCH(F2,$B$1:$D$1,0)),1)
H2=INDEX($A$2:$A$7,MATCH(G2,INDEX($B$2:$D$7,,MATCH(F2,$B$1:$D$1,0)),0))
I2=LARGE(INDEX($B$2:$D$7,,MATCH(F2,$B$1:$D$1,0)),2)
J2=INDEX($A$2:$A$7,MATCH(I2,INDEX($B$2:$D$7,,MATCH(F2,$B$1:$D$1,0)),0))
And if you have Microsoft-365 then could try below formula to get names directly.
=LET(x,FILTER($B$2:$D$7,$B$1:$D$1=F2),FILTER($A$2:$A$7,x=LARGE(x,1)))
Hi Guys i have a dataFrame where i want to frist group rows by a column, then i find any rows that sum up to a given value in another column.
**A** **B** **c**
XCD 1 5
FFF 12 2
VB 3 6
XCD 8 5
AAA 2 7
AAA 5 7
XCD 4 5
VB 6 6
VB 3 6
FFF 2 2
For each unique entry in column A say XCD, the value of column C is always the same to represent the total sum needed per unique entry. To illustrate what i need, see the below final data Frame.
**A** **B** **c**
XCD 1 5
XCD 4 5
FFF 2 2
VB 6 6
AAA 2 7
AAA 5 7
The algorithm should select the rows that sum up to the column c. The algorithm can select a single row as long as its total sums up to the number in column c but we only take the first occurance that sum up to column c and leave out the rest, then have a new data Frame
I need to count the unique values of column A and filter out the column with values greater than say 2
A C
Apple 4
Orange 5
Apple 3
Mango 5
Orange 1
I have calculated the unique values but not able to figure out how to filer them df.value_count()
I want to filter column A that have greater than 2, expected Dataframe
A B
Apple 4
Orange 5
Apple 3
Orange 1
value_counts should be called on a Series (single column) rather than a DataFrame:
counts = df['A'].value_counts()
Giving:
A
Apple 2
Mango 1
Orange 2
dtype: int64
You can then filter this to only keep those >= 2 and use isin to filter your DataFrame:
filtered = counts[counts >= 2]
df[df['A'].isin(filtered.index)]
Giving:
A C
0 Apple 4
1 Orange 5
2 Apple 3
4 Orange 1
Use duplicated with parameter keep=False:
df[df.duplicated(['A'], keep=False)]
Output:
A C
0 Apple 4
1 Orange 5
2 Apple 3
4 Orange 1
My DataFrame object similar to this one:
Product StoreFrom StoreTo Date
1 out melon StoreQ StoreP 20170602
2 out cherry StoreW StoreO 20170614
3 out Apple StoreE StoreU 20170802
4 in Apple StoreE StoreU 20170812
I want to avoid duplications, in 3rd and 4th row show same action. I try to reach
Product StoreFrom StoreTo Date Days
1 out melon StoreQ StoreP 20170602
2 out cherry StoreW StoreO 20170614
5 in Apple StoreE StoreU 20170812 10
and I got more than 10k entry. I could not find similar work to this. Any help will be very useful.
d1 = df.assign(Date=pd.to_datetime(df.Date.astype(str)))
d2 = d1.assign(Days=d1.groupby(cols).Date.apply(lambda x: x - x.iloc[0]))
d2.drop_duplicates(cols, 'last')
io Product StoreFrom StoreTo Date Days
1 out melon StoreQ StoreP 2017-06-02 0 days
2 out cherry StoreW StoreO 2017-06-14 0 days
4 in Apple StoreE StoreU 2017-08-12 10 days
I have a large excel spreadsheet containing multiple address lines. Many of these adress lines contain duplicate postcodes, with differing steet adrresses.
I need to seperate out each of these duplicates onto different spreadhseets, so that no one spreadhseet contains the same postcode. I'm currently using an =if() statement to identify the duplicates, then cutting and poasting, and repeating almost ad infinitum to speperate them all out
as an example:
address 1 postcode 1
address 2 postcode 1
address 3 postcode 1
address 4 postcode 2
address 5 postcode 2
address 6 postcode 3
address 7 postcode 3
address 8 postcode 3
address 9 postcode 3
would give 4 spreadsheets:
1)
address 1 postcode 1
address 4 postcode 2
address 6 postcode 3
2)
address 2 postcode 1
address 5 postcode 2
address 7 postcode 3
etc
Any hints on a vb script?
Many thanks
Nick
If this is a one-off thing, then I'd consider doing it in the worksheet and bulk cut-pasting. I'd try something like this:
Sort my data on the post code column
In a new column, add a function to count the number of post codes below the current row that are duplicates of the code on that row (see below)
Save (copy/paste-special-values) the values obtained
Sort by duplicate number
Cut and paste blocks by duplicate number to new sheets
Say I have 20 values between 1 and 5 in column G. I put the following formula in H1:
=SUM(IF(G1:$G$20=G1,1,0))
... and (important bit) enter it as an array formula using Control+Shift+Enter. Now I copy that formula down (for speed, double-click the "fill handle" on the bottom right-hand corner of the cell). Here's my result:
1 2
1 1
2 2
2 1
3 8
3 7
3 6
3 5
3 4
3 3
3 2
3 1
4 2
4 1
5 6
5 5
5 4
5 3
5 2
5 1
Now I can copy column H and Edit...Paste Special...Values to fix the values. Sort by H to get this:
1 1
2 1
3 1
4 1
5 1
1 2
2 2
3 2
4 2
5 2
3 3
5 3
3 4
5 4
3 5
5 5
3 6
5 6
3 7
3 8
Now I have sets of records to copy to each of the 8 sheets that I now know are needed.
Of course, if you're going to be doing this a lot, then a macro would be useful. It needn't be much more complex than automating the above.