So I need to select the 1. and the 4-15. row in an excel dataframe with df.iloc, but I just can't get the correct syntax, now I'm not even sure if its possible to do?
I tried: df.iloc[1,4:15:,:] and df.iloc[1:4:15:,:], I also tried to input the variables as a list of: [1,4,5....15] but neither work, could anyone help with the syntax of this?
Found nothing on google.
Combine list and slices with numpy's np.r_
df = df.iloc[np.r_[1,4:15], :]
Related
I have the following case
E.g., I want the two cells in yellow to be the same. For this, I need to find the columns Score 1 and Result, and then find the row 03-Jan so that I get the actual score. Do you have any idea how to solve this? I tried with some match and index but I do not get the solution.
Use INDEX with three matches, the first to find the correct row, while the other 2 find the correct column.
=INDEX($E:$N,MATCH($Q9,B:B,0),MATCH(R$8,$E$2:$N$2,0)+MATCH(R$7,$E$3:$I$3,0)-1)
You want to use an Index(Match),Match())
but what you really want to use is a double XLOOKUP.
I also liked this video to help me learn all of the ways to do a 2d lookup.
YouTube Video
I would like to know if there is a better alternative to Vlookup to find matches between two cells (or Python Dfs).
Say I have the below Dfs,
I want my code to check if the values in DF1 was in DF2, If values exactly match OR if the values partially matche return me the value in the DF2.
Just like the matches in 4th column Row 2,3 returned values.
Thanks Amigo!
Well, as you probably suspected already, you have several options. You can easily search for an exact match, like this.
=VLOOKUP(value,data,column,FALSE)
Here is an example.
https://www.excelfunctions.net/vlookup-example-exact-match.html
Or, consider doing a partial match, as such.
=VLOOKUP(value&"*",data,column,FALSE)
Here is an example.
https://exceljet.net/formula/partial-match-with-vlookup
Oh, you can do a fuzzy match as well. Use the AddIn below for this kind of task.
https://www.microsoft.com/en-us/download/details.aspx?id=15011
In Python, it would be done like this.
matches = []
for c in checklist:
if c in words:
matches.append(c)
Obviously, the items in the square brackets are the items in the list.
For Python fuzzy matches, follow the steps outlined in the link below.
https://marcobonzanini.com/2015/02/25/fuzzy-string-matching-in-python/
Say I have multiple tasks: quoting, binding, rating that have same response time of 3 hours... I was wondering if there was a way to make an IF statement such that I could just say for example:
=IF(B2="*Quoting,Binding,Rating", C2+3, NA)
I haven't been able to get it to work, and I'm trying to avoid using an OR statement with the IF statement to get the values, but is it possible to do it this way? It sounds simple, "If it's task x,y,z then add 3 hours to the start time column (C2)". Any advice guys? Thanks!
This may achieve what you're after
=IF(NOT(ISERROR(SEARCH(B2,"Quoting,Binding,Rating"))), C2+3, "NA")
Hope that helps
Use the OR statement: =(IF(OR(B2="Quoting",B2="Binding",B2="Rating"),C3+3,NA()))
If you're looking to shorten the formula, you can put the values you want to check into a named range (I used "List" to reference "I:I" but you could put the list on another sheet) and use SUMPRODUCT.
=IF(SUMPRODUCT(--(B2=List))>0,C3+3,NA())
Wondering if someone can help me here. When I take a regular python list containing strings, and check to see if a pandas series (pla.id) has a value that matches a value in that list. It works.
Which is great and all but I wonder how it's able to compare strings to ints... is there documentation somewhere that states that it will convert under the hood before comparing those values??
I wasn't able to find anything on the .isin() page of pandas documentation..
Also super interesting is that when I try pandas indexing it fails due to a type comparison.
So my two questions:
Does pandas.series.isin(some_list_of_strings) method automatically convert the values in the series (which are int values) to strings before doing a value comparison?
If so, why doesn't pandas indexing i.e. (df[df.series == 'some value']) not do the same thing? What is the thinking behind this? If I wanted to accomplish the same thing I would have to do df[df.series.astype(str) == ''] or df[df.series.astype(str).isin(some_list_of_strings)] to access those values in the df that match
After some digging I think this might be due to the pandas object datatype? but I have no understanding of why this works. Also this doesn't explain why the below works... since it is a int dtype
Thanks in advance!
Hello I am new to R and am trying to figure out how to extract specific categorical data from a list of data.
I have tried the subset command but cannot seem to get it to pull out more than one category in the data set. I have tried the list command and to concotanate the data but neither have worked. Any help would be greatly appreciated.
Here is one version of what I have tried:
EMFSubset<-subset(MSHData,Blast.genus.ID==list("Cadophora","Inocybe"), drop=FALSE)
You need to use %in% instead of ==