Questions tagged [reshape]
In R, Matlab, NumPy and APL, reshape functions allow data to be transformed into more convenient forms.
reshape
613
questions with no upvoted or accepted answers
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Tensorflow Dimension size must be evenly divisible by N but is M for 'linear/linear_model/x/Reshape'
I've been trying to use tensorflow's tf.estimator, but I'm getting the following errors regarding the shape of input/output data.
ValueError: Dimension size must be evenly divisible by 9 but is 12 ...
7
votes
1
answer
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Melt datafarame with certain order in R
I am trying to melt this dataset:
raw1 <- c("Alpha", "2018-04-01", "566.0", "647.75", "669.08", "673.08", "675.00")
raw2 <- c("Alpha", "2018-04-02", "563.3", "651.08", "670.67", "684.58", "671....
7
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Incorrect reshape of vtk->numpy array?
I am reading VTK uniform grid into python. When I visualize a slice through the data in Paraview, I get the following (correct) image:
Then I visualize the slice using via numpy & pylab using the ...
3
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0
answers
152
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what is the correct method to match channel shape in cnn? transpose vs reshape
I tried to build my CNN layer. but I had one problem.
The CNN layer's input is image data. and I used to the backend as TensorFlow. so the CNN layer's input shape must be (number of data, height, ...
3
votes
0
answers
490
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SQLite reshape long to wide for many keys
I want to to convert data from long to wide format in SQLite, when the number of keys (to-be columns) is very large.
There are two relevant questions, one that provides a very good answer fro MySQL (...
3
votes
1
answer
230
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is it possible to track the progress of a function like melt in package reshape?
I am aware that I can create a progress bar for a self-created loop or something like that. However, is it possible to somehow keep a track of the progress for a function like melt() from the reshape ...
3
votes
1
answer
759
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Unstacking a Pandas dataframe when one column has some NaN entries
I have a Pandas DataFrame for which I am pivoting some row entries into columns, using the unstack() method (as advised in this question). To do so, I set_index with the unpivoted columns, and then ...
3
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0
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reshape2 dcast error on large dataset
I have a dataset of columns search_query[factor], movie_name[factor], clicks[int] with about 1,800,000 rows. When I use the dcast function from the reshape2 package to try to create a matrix from ...
2
votes
1
answer
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Is there a simple way to conduct the this transformation on a multi-indexed dataframe?
Please see the attached image showing a DataFrame (left_table in the picture, wrote this as a code in the following). I want to transform it to the right_table in a simple way (using pivot, melt, ...
2
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WARNING:tensorflow:Model was constructed with shape (None, None) for input KerasTensor
WARNING:tensorflow:Model was constructed with shape (None, None) for input KerasTensor(type_spec=TensorSpec(shape=(None, None), dtype=tf.float32, name='embedding_2_input'), name='embedding_2_input', ...
2
votes
1
answer
49
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How to pivot_wider while preserving duplicate column values?
looking for some help on this maybe basic issue. Suppose I have the following:
tibble(
x= c("a","a","b","b","b","b"),
y= c(1,2,1,2,1,2)
)...
2
votes
0
answers
323
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Using a multiple matrices to predict a matrix in Python with Keras
I modified the code from here. What I'm trying to do is combine the two matrices to predict the output matrix. The output matrix is built from the two input matrices. The problem seems to be ...
2
votes
0
answers
231
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Visualize coordinates in txt file, Python
I have txt file. Every line has 11 elements. Below is shown the file.
4.05010767925,2.33864731895,2.41543839929,3.86018471931,0.481566107186,4.85262264971,3.83877010346,-0.89860066431,1.97925697639,4....
2
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0
answers
411
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Reshape 4D Numpy Image data
I had 4 RGB images in an array of shape (4,32,32,3). Then I divided these images in 16 equal 8x8 blocks (64 represents the 8x8 block), decoded_imgs.shape = (4,16,64,3) , 3 represents the colour ...
2
votes
2
answers
55
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How to transform from long to wide data set in r by creating means
I have the following data set:
Email Relationship Q1 Q2 Q3 Q4
1 [email protected] Self 1 2 2 3
2 [email protected] Peer 3 3 4 5
3 sample@...