All Questions
1,015
questions
0
votes
0
answers
15
views
Unexpected coordinate switching when reshaping object positions into 3D grid after flattening and integrating
I am working on processing and analyzing velocity field data from VTI files using Python. The workflow includes reading VTI files, extracting velocity data, computing object trajectories, generating ...
-3
votes
0
answers
39
views
cannot reshape array of size 1000 into shape (100,100) [closed]
>>> cent_rand = np.random.randint(1919, 3946, 1000)
>>> len(cent_rand)
1000
>>> two_d_cent = cent_rand.reshape((100,100))
Traceback (most recent call last):
File "<...
1
vote
1
answer
56
views
Reshape Pandas Dataframe and group by 2 level columns
I have a dataframe with flat structure of having unique Rows as follow.
I need to reshape it as shown below.
Using Pivot table and swapping levels, I managed to obtain somewhat closer to the result, ...
0
votes
1
answer
21
views
Troubleshooting onnxruntime inference - X num_dims does not match W num_dims
Using the nnhash.py script found here: https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX
# Copyright 2021 Asuhariet Ygvar
#
# Licensed under the Apache License, Version 2.0 (the "License&...
0
votes
1
answer
90
views
How to reshape (n,) array to (n,3) array? [closed]
I have an array with (n,) dimension and for a project I need to have this array with (n,3) shape.
This array is a set of a 3-dimensional points.
This is the code :
vertices = np.array([line[7:] for ...
0
votes
0
answers
40
views
Performance of numpy matrix vector product on scipy.stats.qmc.Sobol vector when changing reshaping order
Solution at the bottom.
I am trying to implement a Brownian bridge and want to speed up the path construction via numpy matrix multiplication, once the bridge is initialised. I am drawing data for 3 ...
0
votes
3
answers
46
views
How can I add a dimension to Torch tensor with values of first two dimensions repeated in the new dimension
I have a Tensor of shape [a,b]. How can I reshape it to [a,b,c] such that all the values along the new dimensions repeat values of the i,j entry of the original tensor of shape [a,b]?
ex: a = 2, b= 3
...
0
votes
0
answers
18
views
how to build a vae without reshape error?
I build a VAE following https://blog.tensorflow.org/2019/03/variational-autoencoders-with.html
PROBLEM: I thick the problem is in the decoder when I want to reshape the latent Distribution i face this ...
1
vote
1
answer
32
views
Given a few block matrices, get the overall large matrix
In short, we are given a 4D tensor y of shape ( B // s2, D2 // s1, s1, s2), where y[i,j,...] represents a matrix of shape (s1,s2). These are the block matrices used to construct the overall large ...
0
votes
0
answers
13
views
Reshape LSTM Layer Input Tensorformat
I have a table with 4700 rows and 50 columns. The last 3 columns should be predicted.
How do I have to set up my X and my y to be able to enter it in an LSTM layer?
X = (?, ?, ?)
y = (?, ?)
I ...
5
votes
3
answers
218
views
merge groups of columns in a polars dataframe to single columns
I have a polars dataframe with columns a_0, a_1, a_2, b_0, b_1, b_2. I want to convert it to a longer and thinner dataframe (3 x rows, but just 2 columns a and b), so that a contains a_0[0], a_1[0], ...
0
votes
1
answer
93
views
reshape dataframe based on event occurance and clearing
i want to see if there is an efficient way to reshape dataframe that is read from a tab separated csv file. the data consist of event codes and messages that are stacked up vertically with their ...
0
votes
1
answer
81
views
Long to wide in Python or SQL with all possible data combinations in columns
Input format:
CUSTOMER MONTH ISSUE
1 M1 ABC
1 M1 DEF
1 M2 ABC
1 M3 QRS
2 M1 PQR
2 M2 PQR
2 M2 ABC
2 M3 DEF
Desired output format:
CUSTOMER M1 M2 M3
1 ABC ABC QRS
1 ...
0
votes
0
answers
15
views
Shape issues in Training a Keras Model
Here is the code that I have written:
Df_input = df_close[input_col]
df_Output = df_close[Output_cols]
def preprocess_multistep_lstm(Input_Sequence, Output_Sequence, n_steps_in, n_steps_out, features, ...
0
votes
1
answer
165
views
numpy reshape implementation
My main focus will on this page.
First, I don't understand the page. For the first parameter shape,
ndarray.reshape(shape, order='C')
why this method on ndarray allows the elements of the shape ...