Printing values in different column same row using APACHE POI

Printing values in different column same row using APACHE POI

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Printing values in different column same row using APACHE POI
Tag : java , By : Longchao Dong
Date : January 12 2021, 08:33 AM

Hope this helps Problem is that in your first code, line 1, you are creating the same row for each gradeList element, so you are overwritten the row created for the element 80, with the one created with the element 81, etc due to that you only have the last one.
If you modify your first code and create a different row for each gradeList element, you can see that all the values are added, for example:
HSSFRow row1 = sheet.createRow((short) y +1);//1
HSSFCellStyle cellStylei = workbook.createCellStyle();//4

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using awk to get column values and then running another command on values and printing them

Tag : unix , By : PatrickSimonHenk
Date : March 29 2020, 07:55 AM
I wish this help you You don't really need awk just for extracting the second column. You can do by using bash read built in and setting the IFS to the delimiter.
while IFS=, read -ra line; do
[[ ${line[1]} != 0 ]] && echo "${line[1]}" | openssl dgst -sha1
done < inputFile

Categorising values in one column and printing them in a new column in R

Tag : r , By : user121350
Date : March 29 2020, 07:55 AM
around this issue I'm trying to categorize values in a column (Value) based on how it compares to other columns (in this case ColA, ColB, ColC) The category of the value should be written in the corresponding row under the column 'Category'. , importing your data:
df <- read.table(text = "
                 Value   ColA    ColB    ColC
                 0.8     0.3     0.7     1.1 
                 0.1     0.2     0.7     1.3 
                 0.7     0.5     0.8     1.0", header = T)
df$Category <-
  ifelse(df$Value >= 0 & df$Value <= df$ColA, "Bottom",
    ifelse(df$Value > df$ColA & df$Value <= df$ColB, "Middle",
      ifelse(df$Value > df$ColB & df$Value <= df$ColC, "Top", NA)
> df
  Value ColA ColB ColC Category
1   0.8  0.3  0.7  1.1      Top
2   0.1  0.2  0.7  1.3   Bottom
3   0.7  0.5  0.8  1.0   Middle
ifelse(test, yes, no)
df$Category <- NA

df$Category[df$Value >= 0 & df$Value <= df$ColA] <- "Bottom"
df$Category[df$Value > df$ColA & df$Value <= df$ColB] <- "Middle"
df$Category[df$Value > df$ColB & df$Value <= df$ColC] <- "Top"

> df
  Value ColA ColB ColC Category
1   0.8  0.3  0.7  1.1      Top
2   0.1  0.2  0.7  1.3   Bottom
3   0.7  0.5  0.8  1.0   Middle

How to group and printing unique values of Column-B wrt to Column-A in pandas?

Tag : python , By : fukas78
Date : March 29 2020, 07:55 AM

I stored values in Multi Dimensional Array. When printing the values, it's printing the second iteration values and firs

Tag : bash , By : Naveen
Date : March 29 2020, 07:55 AM

Apache Spark in Scala not printing rdd values

Tag : scala , By : THD
Date : March 29 2020, 07:55 AM
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