I have a spreadsheet set up with tv program titles in column B, the next 20 or so columns are tracking different information about that title. I need to count the number of blank cells in column R relating to the range in column B that contains titles (ie, up to the first blank row in column B.)
I can easily set up a formula to count the number of empty cells in a given range in column R, the problem is as I add more titles to the sheet I would have to keep updating the range in the formula [a simple =COUNTIF(R3:R1108, "")]. I've done a little googling of the problem but haven't quite found anything that fits the situation. I thought I would be able to get the following to work but I didn't fully understand what was going on with them and they weren't giving the expected results.
I've tried these formulas:
=ArrayFormula(sum(MIN("B3:B"&MIN(IF((R3:R)>"",ROW(B3:B)-1)))))
=ArrayFormula(sum(INDIRECT("B3:B"&MIN(IF((R3:R)>"",ROW(B3:B)-1)))))
And
=if(SUM(B3:B)="","",SUM(R3:R))
All of the above formulas give "0" as the result. Based on the COUNTIF formula I have set up it should be 840, which is a number I would expect. Currently, there are 1106 rows containing data and 840 is a reasonable number to expect in this situation.
Is this what you're looking for?
=COUNTBLANK(INDIRECT(CONCATENATE("R",3,":R",(3+COUNTA(B3:B)))))
This counts the number of non-blank rows in the B column (starting at B3), and uses that to determine the rows to perform COUNTBLANK in, in column R (starting at R3). CONCATENATE is a way to give it a range by adding strings together, and the INDIRECT allows for the range reference to be a string.
a proper way would be:
=ARRAYFORMULA(COUNTBLANK(INDIRECT(ADDRESS(3, 18, 4)&":"&
ADDRESS(MAX(IF(B3:B<>"", ROW(B3:B), )), 18, 4)))
or shorter:
=ARRAYFORMULA(COUNTBLANK(INDIRECT("R3:"&
ADDRESS(MAX(IF(B3:B<>"", ROW(B3:B), )), 18, 4))))
or shorter:
=ARRAYFORMULA(COUNTBLANK(INDIRECT("R3:R"&MAX(IF(B3:B<>"", ROW(B3:B), ))))
Related
I cannot find a solution to my problem:
I have a sheet with ~290 rows and ~80 columns. The first row and column are fixed/header.
I would like to collect non-blank values and their header into column B.
I've tried to search for solutions, but I'm not as good at excel, so I cannot wrap my head around most of the advice that I've found.
In Google Sheets you could use an Array formula. I got this:
The formula I've used:
=ArrayFormula(CONCATENATE(IF(--(C2:G2<>"")*COLUMN($C$1:$G$1)<>0;$C$1:$G$1&" "&C2:G2;"")))
This is how it works:
(--(C2:G2<>"") will return an array of 0 and 1 if the cell is blank or not
COLUMN($C$1:$G$1) will return an array of column numbers of each cell
(C2:G2<>"")*COLUMN($C$1:$G$1) we multiply both arrays, so we will get an array of column numbers of non blank cells and 0 of blank cells
<>0;$C$1:$G$1&" "&C2:G2;"") We check if each number in the array obtained in step 3 is 0 or not. If it's 0, it returns a null value, if not, it returns the value of cell
CONCATENATE will concatenate all values from previous array (step 4) so we concatenate null values with real values of non blank cells.
Not sure if this will make the sheet load slower if you have too many records.
Hope this helps
Excel is not the same Google Sheets
=ARRAYFORMULA(TRIM(REGEXREPLACE(
TRANSPOSE(
QUERY(TRANSPOSE(IF(C2:F13<>"",C1:F1 & ", ","")),,99^99)
),
"((\s+)|(,\s*$))",
" "
)))
My sample
use:
=ARRAYFORMULA(REGEXREPLACE(TRIM(TRANSPOSE(QUERY(TRANSPOSE(
IF(C2:G<>"", C1:G1&" "&C2:G&",", )),,99^99))), ",$", ))
So I am trying to figure out the formula for this. I've been trying to use COUNTIF and COUNTIFS functions but to no avail. I'm trying to count the number of occurrences for 30 minutes. It should show 1.
=COUNTIF(D7:D17,R7,E7:N10,"")
...where D7:D17 is the range in the first column and R7 is "30 minutes". E7:N10 is that range from 1-10 column. I get the error:
"Array arguments to COUNTIFS are of different size." Then I tried E10:N10 and still got the same error.)
try:
=ARRAYFORMULA(SUM(IF(A2:A="30 minutes",
MMULT(IF(B2:K<>"", 1, 0), TRANSPOSE(COLUMN(B:K))^0), )))
I found this formula, =arrayformula(sumproduct($C$24:$C$31<B$24:B$31)) but I need it to ignore if one or both cells are 0 or blank.
I've tried and, and countifs, but I can't seem to figure it out.
=arrayformula(sumproduct($C$24:$C$31<B$24:B$31))
I want a number 0-8 for counting how many cells in the particular row are less than the compared row, but (i.e. 0<25) needs to be ignored.
try it like this:
=ARRAYFORMULA(SUM(IF((C2:C < B2:B) * (C2:C<>0), 1, 0)))
I want to count the number of No in theses ranges F:R,BC:BN,CX:DI with array formula so if any one submit a new response containing No in these ranges it counts them
I tried using this formula
=ARRAYFORMULA(IF(ROW(E:E)=1,"NC",IF(LEN(E:E), IF(IFERROR(REGEXEXTRACT(TRANSPOSE(QUERY(TRANSPOSE(COUNTIFS(OR(DV:EG="No",BW:CH="No",U:AG="No"))),, 999^99)), "♦"))="♦", 1, 0), )))
but it didn't work, I also tried this formula:
=ARRAYFORMULA(IF(ROW(A:A)=1,"NC",IF(LEN(A:A)=0,IFERROR(1/0),COUNTIFS(F:R,"No")+COUNTIFS(BC:BN,"No")+COUNTIFS(CX:DI,"No"))))
But it counted all the value in the whole range
I need it to count the No row by row so at the end of every row under NC it shows the number of the No in these ranges F:R,BC:BN,CX:DI
Here is a spread sheet containing the data
https://docs.google.com/spreadsheets/d/1SksZv0h82j5oEZBj2AN5anDFr80AYNR5ettSwkpUKys/edit#gid=0
=ARRAYFORMULA({"NC"; IF(LEN(A2:A),
MMULT(IFERROR(LEN(REGEXEXTRACT({F2:R,BC2:BN,CX2:DI}, "No"))/
LEN(REGEXEXTRACT({F2:R,BC2:BN,CX2:DI}, "No")), 0),
TRANSPOSE(COLUMN(A1:AK1)^0)), )})
I am working on scraping a table that has major and minor column names. When I do this, the table comes in having read both the column names and column groups, so the column names are misaligned in the dataframe like so (simplified):
unnamed1 unnamed2 unnamed3 Year Passing Rushing Receiving
2015 NA 200 60 NA NA NA
2014 NA 180 70 NA NA NA
My challenge is in shifting the column names so that 'Year' aligns over '2015' and so forth. The problem is then that the number of columns to shift does not remain constant from table to table (this is only one of many). My code at the moment looks like the following:
table1=read_html('http://www.pro-football-reference.com/players/T/TyexWi00.htm')
df=table1[0]
to_shift=len(df.dropna(how='all', axis=1).columns) #Number of empty columns to shift by
df2=df.dropna(how='all',axis=1) #Drop the empty columns
df2.columns=df.columns[-to_shift:] #Shift all columns left by the number i've found
The problem is that for a player that has none of one stat (passing in this simple example), there are completely blank columns in the middle of the dataframe as well as at the right end, so that the code shifts too far. Is there a clean way of counting the columns from right to left until one is not completely empty?
Much thanks, and I hope my question is clear!
Is there a clean way of counting the columns from right to left until one is not completely empty?
from itertools import takewhile
len(df.columns) - len(list(takewhile(lambda col: df[col].isnull().all(), reversed(df.columns)))) - 1
Explanation:
takewhile returns all elements of a list (beginning at the front) until the given condition is False. When we call it on reversed(df.columns), we get all elements from the end. With df[col].isnull().all() we can check whether all entries of a column are null (a.k.a. nan). Consequently the above takewhile expression returns the suffix of columns which are completely 'empty'. By calculating total_length - bad_suffix_length - 1, we get the first index for which the condition is not satisfied.
Adding to the correct response from Michael Hoff (Thank you very much!), the code has been edited to
to_shift=len(df.columns) - len(list(takewhile(lambda col: df[col].isnull().all(), reversed(df.columns)))) #Index of origianl dataframe to keep
df2=df.drop(list(takewhile(lambda col: df[col].isnull().all(), reversed(df.columns))),axis=1) #Drop the empty right side columns
colnames=df.columns[-to_shift:]
df2.columns=colnames