Reordering columns/rows of a pivot_table?

Reordering columns/rows of a pivot_table?

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Reordering columns/rows of a pivot_table?
Tag : python , By : Patastroph
Date : November 25 2020, 07:27 PM

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Reordering Bootstrap 3 columns across rows

Tag : twitter-bootstrap , By : dbarbot
Date : March 29 2020, 07:55 AM
will help you I have a layout that looks something like this: , You can group the rows in two columns (width 8 and width 4), like so:
<div class="container">
  <div class="row">
    <div class="col-md-8">
      <div class="col-xs-3 col-lg-3"><div class="well">1</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">2</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">3</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">4</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">7</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">8</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">9</div></div>
      <div class="col-xs-3 col-lg-3"><div class="well">10</div></div>  
    <div class="col-md-4">
      <div class="col-xs-3 col-md-6 col-lg-6"><div class="well">5</div></div>
      <div class="col-xs-3 col-md-6 col-lg-6"><div class="well">6</div></div>
      <div class="col-xs-3 col-md-6 col-lg-6"><div class="well">11</div></div>
      <div class="col-xs-3 col-md-6 col-lg-6"><div class="well">12</div></div>

Reordering rows in multiple columns in a data.frame and afterwards remove rows with only NAs

Tag : r , By : codelurker
Date : March 29 2020, 07:55 AM
Hope that helps I find data.table very straight forward for such operation. The following solution will work for any amount of desired columns once you specified the cols variable correctly

## Define the columns you want to filter by
cols <- paste0("Val", 1:2)

## Sort the desired columns by group while sending the NAs to the end
setDT(data)[, (cols) := lapply(.SD, sort, na.last = TRUE), 
              .SDcols = cols, 
              by = .(Var1, Var2)]

## Define an index which will check which rows have NAs for all the columns
indx <- rowSums(is.na(data[, cols, with = FALSE])) < length(cols)

## A simple subset by condition

#     Var1 Var2 Val1 Val2
#  1:  N01    a    1    1
#  2:  N01    a    2    2
#  3:  N01    b    1    2
#  4:  N01    b    2   NA
#  5:  N01    c    2    2
#  6:  N01    c   NA    2
#  7:  N02    a    2    2
#  8:  N02    a   NA    2
#  9:  N02    b    2    2
# 10:  N02    b   NA    2
# 11:  N02    c    1    2
# 12:  N02    c    2   NA

Reordering 2D array rows and columns

Tag : java , By : johntynan
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further I'm trying to reorder a 2D array with for loops. The first generateSong() method creates the array with random doubles and works fine. Then I have the simulateSong() method. Its purpose is to take the rows from the generateSong() array and reprint them as columns, starting with the bottom one. , if i understand you right it should be something like this...
public void simulateSong() {
    System.out.println("\nGuitar.simualateSong() ");
    for (int i = 0; i < chords; i++) {
        for (int j = 0; j < strings; j++) {
            System.out.printf(" %.2f", song[j][i]);

Reordering rows and columns in R

Tag : r , By : quasarkitten
Date : March 29 2020, 07:55 AM
I wish this helpful for you Here is a potential solution to your question. I tried to re-create a small-sized data.frame based on your question. The key here is the match function as well as some basic subsetting/filtering techniques in R:
## Re-create your example:
V <- data.frame(
  A = c(1 ,  0.3, 0.1 , 0.4),
  B = c(0.2, 1 ,  0.4 , 0.3),
  C = c(0.1, 0 ,  1  ,  0.9),
  D = c(0.3, 0.3, 0.1 , 1)
) #matrix() also ok
rownames(V) <- LETTERS[1:4]

## Reorder using `match` function
## Needs to be in data.frame form
## So use as.data.frame() if needed

## Here, I don't have the text file
## So if you want to load in txt files specifying rows columns
## Use `read.csv` or `read.table to load
## And then store the relevant info into a vector as you did

col_order <- c("C","D","E","B","A")
col_order_filtered <- col_order[which(col_order %in% colnames(V))]
rows <- c("D","E","Z","B","T","A")
## Filter rows IDs, since not all are present in your data
row_filtered <- rows[rows %in% rownames(V)]

V1 <- V[match(rownames(V), row_filtered), match(colnames(V), col_order_filtered)]
V1 <- V1[-which(rownames(V1)=="NA"), ]

##     D   C   A   B
## C 0.1 1.0 0.1 0.4
## B 0.3 0.0 0.3 1.0
## A 0.3 0.1 1.0 0.2
## Continued from previous code
V2 <- V %>%
  select(C, D, B, A, everything()) %>%
  slice(match(rownames(V), row_filtered))
rownames(V2) <- row_filtered
##     C   D   B   A
## D 1.0 0.1 0.4 0.1
## B 0.0 0.3 1.0 0.3
## A 0.1 0.3 0.2 1.0

pandas pivot_table to get the avg value in columns and rows

Tag : python , By : Lee KW
Date : March 29 2020, 07:55 AM
I wish did fix the issue. If pandas version is bellow 0.21.0 where Index.to_frame is not implemented use:
df_tab = (pd.DataFrame(df_tab.columns, index=df_tab.columns)
df_tab = df_tab.columns.to_frame().T.append(df_tab).reset_index(drop=True)
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