In R, Matlab, NumPy and APL, reshape functions allow data to be transformed into more convenient forms.
I have a data frame as follow: +-----+-------+ | V1 | V2 | +-----+-------+ | 1 | a,b,c | | 2 | a,c | | 3 | b,d | | 4 | …
r dataframe reshape data-manipulation strsplitI'm trying to reshape a numpy array as: data3 = data3.reshape((data3.shape[0], 28, 28)) where data3 is: [[54 68 66 ..., 83 72 58] [63 63 63 ..., 51 51 51] [41 45 80 ..., 44 46 81] ..., [58 60 61 ..., 75 75 81] [56 58 59 ..., 72 75 80] [ 4 4 4 ..., 8 8 8]] data3.shape is (52, 2352 ) But …
python numpy image-processing reshape cv2I have data in long format and am trying to reshape to wide, but there doesn't seem to be a …
python pandas reshapeI'm using sci-kit learn linear regression algorithm. While scaling Y target feature with: Ys = scaler.fit_transform(Y) I got …
python python-3.x pandas reshape attributeerrorI have a 3d matrix (n-by-m-by-t) in MATLAB representing n-by-m measurements in a grid over a period of time. I …
matlab matrix reshapeI have huge dataframe like this: SN = c(1:100, 1:100, 1:100, 1:100) class = c(rep("A1", 100), rep("B2", 100), rep("C3", 100), rep("D4", 100)) # total 6000 levels …
r dataframe reshape