apply

I have a question based upon my earlier question . Below code runs fine and it tells me whether the search_string is present in the entire row or not. How could I modify the last line so that it provides me counts of matches instead of 1 or 0? For example, for the first row it should return 4 as my search_string is present in 4 locations in that row. sales = [{'account': 'Jones LLC jones', 'Jan': '150', 'Feb': '200', 'Mar': '140 jones jones'}, {'account': 'Alpha Co', 'Jan': 'Jones', 'Feb': '210', 'Mar': '215'}, {'account': 'Blue Inc', 'Jan': '50', 'Feb': '90', 'Mar': '95' }] df = pd.DataFrame

I have the following table: Date Country Class Value 6/1/2010 USA A 45 6/1/2010 Canada A 23 6/1/2010 Brazil B 65 9/1/2010 USA B 47 9/1/2010 Canada A 98 9/1/2010 Brazil B 25 12/1/2010 USA B 14 12/1/2010 Canada A 79 12/1/2010 Brazil A 23 3/1/2011 USA A 84 3/1/2011 Canada B 77 3/1/2011 Brazil A 43 6/1/2011 USA A 45 6/1/2011 Canada A 23 6/1/2011 Brazil B 65 9/1/2011 USA B 47 9/1/2011 Canada A 98 9/1/2011 Brazil B 25 12/1/2011 USA B 14 12/1/2011 Canada A 79 12/1/2011 Brazil A 23 3/1/2012 USA A 84 3/1/2012 Canada B 77 3/1/2012 Brazil A 43 In column "Date" years are divided by the following months -

I have a dataframe where three of the columns are coordinates of data ('H_x', 'H_y' and 'H_z'). I want to calculate radius-vector of the data and add it as a new column in my dataframe. But I have some kind of problem with pandas apply function. My code is: def radvec(x, y, z): rv=np.sqrt(x**2+y**2+z**2) return rv halo_field['rh_field']=halo_field.apply(lambda row: radvec(row['H_x'], row['H_y'], row['H_z']), axis=1) The error I'm getting is: group_sh.py:78: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value

I am confused about using apply or call method correctly. I know that apply is passing an array to the function and call is passing strings to a function. For example the code below, what does "this"really have to do with the code? if it has nothing to do with this code, then can anyone give me an example when "this" is implementing appropriately? function myFunction(a, b) { return a * b; } myArray = [10,2]; myFunction.apply(this, myArray); It's the context for the function. If you have this.something inside the function, it will access that particular property from that context object.

I have a dataset as follows as a sample. My actual dataset has 5000 columns: # Define Adstock Rate adstock_rate = 0.50 lag_number = 3 # Create Data advertising = c(117.913, 120.112, 125.828, 115.354, 177.090, 141.647, 137.892, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 158.511, 109.385, 91.084, 79.253, 102.706, 78.494, 135.114, 114.549, 87.337, 107.829, 125.020, 82.956, 60.813, 83.149, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 129.515, 105.486, 111.494, 107.099, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 134.913, 123.112, 178.828,

So I have taken a look at this question posted before which was used for summing every 2 values in each row in a matrix. Here is the link: sum specific columns among rows . I also took a look at another question here: R Sum every k columns in matrix which is more similiar to mine. I could not get the solution in this case to work. Here is the code that I am working with... y <- matrix(1:27, nrow = 3) y m1 <- as.matrix(y) n <- 3 dim(m1) <- c(nrow(m1)/n, ncol(m1), n) res <- matrix(rowSums(apply(m1, 1, I)), ncol=n) identical(res[1,],rowSums(y[1:3,])) sapply(split.default(y, 0:(length(y)-1) %/% 3)

d1 <- data.frame(col_one = c(1,2,3),col_two = c(4, 5, 6)) d2 <- data.frame(col_one = c(1, 1, 1), col_two = c(6, 5, 4)) d3 <- data.frame(col_one = c(7, 1, 1), col_two = c(8, 5, 4)) my.list <- list(d1, d2,d3) for (i in 1:3) { table<- lapply(my.list, function(data, count) { sql <- #sqldf( paste0( "select *,count(col_one) from data where col_one = ", count," group by col_one" ) #) print(sql) }, count = i) } output: [1] "select *,count(col_one) from data where col_one = 1 group by col_one" [1] "select *,count(col_one) from data where col_one = 1 group by col_one" [1] "select *,count(col_one) from

I know that apply method is syntactic sugar when used in companion object. However, what is apply method for when it is used in type definition just like below? type Applyn = { def apply[A](f: A=>A, n: Int, x: A): A } Is there a deference between this sentence? As I guess, this sentence is used for assigning generic function value to Applyn. For example, by using above sentence, we can make (Int=>Int, Int, Int)=>Int (String=>String, Int, String)=>String etc., into only a single type Applyn . Is this correct? What you are looking is a structural type. It doesn't refer to any specific type but