I have a csv file with following data, I want to know how to multiply values in Qty column with Avg cost column and then sum the values together.
| Instrument | Qty | Avg cost |
|------------|------|-----------|
| APLAPOLLO | 1 | 878.2 |
| AVANTIFEED | 2 | 488.95 |
| BALAMINES | 3 | 308.95 |
| BANCOINDIA | 5 | 195.2 |
| DCMSHRIRAM | 4 | 212.95 |
| GHCL | 4 | 241.75 |
| GIPCL | 9 | 102 |
| JAMNAAUTO | 5 | 178.8 |
| JBCHEPHARM | 3 | 348.65 |
| KEI | 8 | 121 |
| KPRMILL | 2 | 592.65 |
| KRBL | 3 | 274.45 |
| MPHASIS | 2 | 519.75 |
| SHEMAROO | 2 | 400 |
| VOLTAMP | 1 | 924 |
Try this:
f=open('yourfile.csv','r')
temp_sum=0
for line in f:
word=line.split(',')
temp_sum=temp_sum+float(word[1])*float(word[2])
print(temp_sum)
import pandas
colnames = ['Qty', 'Avg_cost']
data = pandas.read_csv('test.csv', names=colnames)
qty = data.Qty.tolist()
avg = data.Avg_cost.tolist()
mult = []
for i in range(0,len(qty)):
temp = qty[i]*avg[i]
mult.append(temp)
sum_all = sum(mul)
print sum_all
print mult
I saved the file as test.csv and did the following
import csv
with open('/tmp/test.csv', 'r') as f:
next(f) #skip first row
total = sum(int(row[1]) * float(row[2]) for row in csv.reader(f))
print('The total is {}'.format(total))
Related
I used Django-orm,postgresql, Is it possible to query by group_by and order_by?
this table
| id | b_id | others |
| 1 | 2 | hh |
| 2 | 2 | hhh |
| 3 | 6 | h |
| 4 | 7 | hi |
| 5 | 7 | i |
I want the query result to be like this
| id | b_id | others |
| 1 | 2 | hh |
| 3 | 6 | h |
| 4 | 7 | hi |
or
| id | b_id | others |
| 4 | 7 | hi |
| 3 | 6 | h |
| 1 | 2 | hh |
I tried
Table.objects.annotate(count=Count('b_id')).values('b_id', 'id', 'others')
Table.objects.values('b_id', 'id', 'others').annotate(count=Count('b_id'))
Table.objects.extra(order_by=['id']).values('b_id','id', 'others')
Try window function and subquery in the following way:
from django.db.models import Window, F, Subquery, Count
from django.db.models.functions import FirstValue
queryset = A.objects.annotate(count=Count('b_id')).filter(pk__in=Subquery(
A.objects.annotate(
first_id=Window(expression=FirstValue('id'), partition_by=[F('b_id')]), order_by=F('id'))
.values('first_id')))
You can try this:
from django.db.models import Count
result = Table.objects
.values('b_id')
.annotate(count=Count('b_id'))
In continuation of my previous question: Sumproduct with multiple criteria on one range
Jeeped provided me with an very helpful formula to achieve a sumproduct() which takes multiple criteria. My current case is however a bit broader:
Take these example tables:
First column is the ID number, second column a respondent group(A,B). Column headers are question types (X,Y,Z).
Table Q1
| | | X | Y | Y | Z | Y |
|----|---|---|---|---|---|---|
| 1 | A | 2 | 2 | 1 | | 1 |
| 2 | A | 1 | 1 | | | 2 |
| 3 | A | 1 | 1 | | | 1 |
| 4 | A | 2 | 1 | | | 1 |
| 5 | A | 1 | 2 | 1 | | 1 |
| 6 | A | 1 | 1 | | | 1 |
| 7 | A | | | | | |
| 8 | A | | | | | |
| 9 | A | 1 | 1 | | | 1 |
| 10 | A | 2 | 2 | 2 | | 2 |
| 11 | A | | | | | |
| 12 | A | 1 | 2 | 1 | | 2 |
| 13 | B | | | | | |
| 14 | B | 1 | 1 | | | 1 |
| 15 | B | 2 | 2 | 1 | | 1 |
Table Q2
| | | X | Y | Y | Z | Y |
|----|---|---|---|---|---|---|
| 1 | A | 1 | 2 | 1 | | 1 |
| 2 | A | 1 | 1 | | | 1 |
| 3 | A | 1 | 1 | | | 1 |
| 4 | A | 1 | 1 | | | 1 |
| 5 | A | 1 | 1 | | | 1 |
| 6 | A | 1 | 1 | | | 1 |
| 7 | A | | | | | |
| 8 | A | | | | | |
| 9 | A | 1 | 1 | | | 1 |
| 10 | A | 1 | 1 | | | 1 |
| 11 | A | | | | | |
| 12 | A | 1 | 2 | 1 | | 1 |
| 13 | B | | | | | |
| 14 | B | 1 | 1 | | | 1 |
| 15 | B | 1 | 2 | 1 | | 1 |
Now I want to know the amount of times a respondent answered 1 (yes) on Q2 for each question type (X,Y,Z). The catch is that if someone answered 1 (yes) on Q1 it should "override" the answer on Q2, as we assume that when someone answers yes on Q1 (implementation of a measure), their answer on Q2 (knowledge of said measure) has to be yes as well.
The second catch is that for the first two occurrences of Y there can only be yes in one of both columns, so in fact there can only be two yes answers for question type Y for each respondent.
I used the following formula (on sheet 3): =SUMPRODUCT(SIGN(('Q1'!$C$2:$G$16=1)+('Q2'!$C$2:$G$16=1))*('Q2'!$B$2:$B$16=Blad3!$D5)*('Q2'!$C$1:$G$1=Blad3!E$4)) to obtain the following results.
| | X | Y | Z |
|---|---|----|---|
| A | 9 | 19 | 0 |
| B | 2 | 4 | 0 |
For X these results are correct, as there are 9 1's in table Q2.
For Y the results for B are correct, for A however they are not, as there are only 9 respondents, answering max 2 questions would result in a max of 18, we have 19 however.
It turns out there is nothing wrong with the formula, just that it isn't suited for the way this data is organised. If you look at row 5:
Q1
| | | X | Y | Y | Z | Y |
|----|---|---|---|---|---|---|
| 5 | A | 1 | 2 | 1 | | 1 |
Q2
| | | X | Y | Y | Z | Y |
|----|---|---|---|---|---|---|
| 5 | A | 1 | 1 | | | 1 |
If we condense that to everywhere there is a 1 in any of the Y column we get this table:
| | | X | Y | Y | Z | Y |
|----|---|---|---|---|---|---|
| 5 | A | | 1 | 1 | | 1 |
When I ask for the sumproduct() for this combined table the result will be 3.
To prevent this I added a helper column (between the two Y and the Z column) to my tables, with the following formula: IF(OR(D1=1,E1=1),1,""). Removed the headers from the double Y columns, and re-running the query produced the correct results.
New table Q1 looks like this then:
| | | X | | | Y | Z | Y |
|----|---|---|---|---|---|---|---|
| 1 | A | 2 | 2 | 1 | 1 | | 1 |
| 2 | A | 1 | 1 | | 1 | | 2 |
| 3 | A | 1 | 1 | | 1 | | 1 |
| 4 | A | 2 | 1 | | 1 | | 1 |
| 5 | A | 1 | 2 | 1 | 1 | | 1 |
| 6 | A | 1 | 1 | | 1 | | 1 |
| 7 | A | | | | | | |
| 8 | A | | | | | | |
| 9 | A | 1 | 1 | | 1 | | 1 |
| 10 | A | 2 | 2 | 2 | | | 2 |
| 11 | A | | | | | | |
| 12 | A | 1 | 2 | 1 | 1 | | 2 |
| 13 | B | | | | | | |
| 14 | B | 1 | 1 | | 1 | | 1 |
| 15 | B | 2 | 2 | 1 | 1 | | 1 |
Summary
I want to have a column in my spreadsheet that does 2 things.
1) In an ordered column, it will return the range where the column contains a specified value.
2) It will run a function (i.e., =SUM(), =AVERAGE(), etc.) over that same range in a different column.
Examples
Original
| NAME | VAL | FOO |
|-------|-----|-----|
| A | 3 | |
| A | 2 | |
| A | 4 | |
| A | 3 | |
| B | 2 | |
| B | 2 | |
| B | 1 | |
| C | 6 | |
| C | 5 | |
Average
I would want to get the average of VAL for each NAME. I would want the result to be:
| NAME | VAL | FOO |
|-------|-----|-----|
| A | 3 | 3 |
| A | 2 | 3 |
| A | 4 | 3 |
| A | 3 | 3 |
| B | 2 | 1.7 |
| B | 2 | 1.7 |
| B | 1 | 1.7 |
| C | 6 | 5.5 |
| C | 5 | 5.5 |
Sum
Another example would be to get the sum of VAL for each NAME.
| NAME | VAL | FOO |
|-------|-----|-----|
| A | 3 | 12 |
| A | 2 | 12 |
| A | 4 | 12 |
| A | 3 | 12 |
| B | 2 | 5 |
| B | 2 | 5 |
| B | 1 | 5 |
| C | 6 | 11 |
| C | 5 | 11 |
Having "NAME" ordered makes it easy. If "NAME" is in A1. Enter this into C2 for the sum, then fill down:
=IF(A2=A3,C3,SUMIF($A$2:A2,A2,$B$2:B2))
Enter this into C2 for the average, then fill down:
=IF(A2=A3,C3,AVERAGEIF($A$2:A2,A2,$B$2:B2))
Note that the result in C2 won't be what you want until you fill down.
Update for MAXIF
If you don't have Excel 2016, you'll have to use an array formula (commit with ctrl+shift+enter):
=IF(A2=A3,C3,MAX(IF($A$2:A2=A2,$B$2:B2)))
In my excel worksheet I have a matrix like this:
+---+------------+--------+--------+--------+--------+--------+-------+
| * | A | B | C | D | E | F | Col n |
+---+------------+--------+--------+--------+--------+--------+-------+
| 1 | 01/01/2000 | -1.000 | -1.000 | -1.000 | -1.000 | -1.000 | ... |
| 2 | 01/02/2000 | | 1.200 | 500 | 500 | 500 | ... |
| 3 | 01/03/2001 | | | 1.100 | 800 | 800 | ... |
| 4 | 01/04/2000 | | | | 1.000 | 700 | ... |
| 5 | 01/05/2000 | | | | | 900 | ... |
| 6 | 01/06/2000 | | | | | | ... |
| 7 | 01/07/2000 | | | | | | ... |
+---+------------+--------+--------+--------+--------+--------+-------+
I need a formula for each column (from column 2) with a dynamic range like this:
For Column B:
=XIRR(B1:B1,A1:A1)
For Column C:
=XIRR(C1:C2,A1:A2)
For Column D:
=XIRR(D1:D3,A1:A3)
For Column E:
=XIRR(E1:E4,A1:A4)
and so on.
Is it possible?
Thanks
I think what you are after is:
=XIRR(OFFSET(B$1,0,0,COLUMN()-1),OFFSET($A$1,0,0,COLUMN()-1))
Using OFFSET we can specify the number of rows in our offset range... We can use the COLUMN() number -1 to get 1 for B, 2 for C etc. We start the offset from an unfixed cell for the values (so it moves along the columns) and a fixed one for dates (so it stays in A)
This formula can just be copied along the cells as far as necessary...
In Excel, I have two columns of data that I wish to combine.
Current set of data:
+---------+---------+
| column1 | column2 |
+---------+---------+
| a | 1 |
| b | 2 |
| c | 3 |
| d | 4 |
| | 5 |
| | 6 |
| | 7 |
+---------+---------+
For each value in column1, I need to assign all of the values in column2 so it looks like this:
+---------+---------+
| column1 | column2 |
+---------+---------+
| a | 1 |
| a | 2 |
| a | 3 |
| a | 4 |
| a | 5 |
| a | 6 |
| a | 7 |
+---------+---------+
| b | 1 |
| b | 2 |
| b | 3 |
| b | 4 |
| b | 5 |
| b | 6 |
| b | 7 |
+---------+---------+
| c | 1 |
| c | 2 |
| c | 3 |
| c | 4 |
| c | 5 |
| c | 6 |
| c | 7 |
+---------+---------+
| d | 1 |
| d | 2 |
| d | 3 |
| d | 4 |
| d | 5 |
| d | 6 |
| d | 7 |
+---------+---------+
How can I do this?
Do I need to find a macro/VB solution?
Since seems unlikely to receive any other answer:
in A1: a
in B1: =MOD(ROW()-1,7)+1
in A2: =IF(MOD(ROW()-1,7)>0,CHAR(CODE(A1)),CHAR(CODE(A1)+1))
Copy both formulae down to suit.