Transpose a data frame in R语言 转置 # first remember the namesn<-df.aree$name# transpose all but the first column (name)df.aree<-as.data.frame(t(df.aree[,-1]))colnames(df.aree)<-n df.aree$myfactor<-factor(row.names(df.aree))str(df.aree)# Check the column typesREF:https...
# transpose all but the first column (name) df.aree <- as.data.frame(t(df.aree[,-1])) colnames(df.aree) <- n df.aree$myfactor <- factor(row.names(df.aree)) str(df.aree) # Check the column types REF: https://stackoverflow.com/questions/6778908/transpose-a-data-frame 1....
R rshape 重新有规律的transpose数据 点击查看代码 rm(list =ls())# prepare the datadata <- data.frame(A=c(47,65,44,59,62,37,51), B=c(68,55,49,62,70,59,63), C=c(78,76,72,81,76,71,83), D=c(85,65,81,98,75,92,79))head(data)# convert data from a wide format to a...
Transpose a Data Frame.Geoffrey HanniganLoesche MAHodkinson BPMehta SElizabeth Grice
R Transpose Matrix Example t(x) function will transpose a matrix or data frame. If it is a vector, it will be transposed to a one row matrix. Following is a csv file example transpose.csv. >x <- read.csv("transpose.csv",header=T,sep=",",dec="."); >x <- t(x)...
x, y, w, h = self.data_frame.iloc[idx,1:5] l, t, ww, hh = enlarge_bbox(x, y, w, h, self.enlarge_factor) r, b = l + ww, t + hh img = img[t: b, l:r, :] img = cv2.resize(img, (self.img_size, self.img_size)) ...
[4] t,indMatrix-method t,packedMatrix-method t,pMatrix-method [7] t,RsparseMatrix-method t,sparseVector-method t,TsparseMatrix-method [10] t,unpackedMatrix-method t.data.frame t.default [13] t.fractions* t.gtable* t.Surv* [16] t.Surv2* t.trellis* t.ts* [19] t.vctrs_sclr*...
Matrix& q, Matrix& r,boolpivot) { Matrix mT =transpose(M);constSize m = M.rows();constSize n = M.columns(); boost::scoped_array<int> lipvt(newint[n]); boost::scoped_array<Real> rdiag(newReal[n]); boost::scoped_array<Real> wa(newReal[n]); ...
因为在numpy构造数据的shape是[B,C,H,W],在tensorflow中输入默认要求shpae是[B,H,W,C]，所以我们...
frame_length: An `int32` or `int64` `Tensor`. The length of each frame. frame_step: An `int32` or `int64` `Tensor`. The step between frames. name: A name for the operation (optional). Returns: A `Tensor` of frames with shape `[batch_size, num_frames, frame_length]`. ...