What does .shape [] do in "for i in range (Y.shape [0])"?
shape is a tuple that gives you an indication of the number of dimensions in the array. So in your case, since the index value of Y.shape[0] is 0, your are working along the first dimension of …
Difference between numpy.array shape (R, 1) and (R,)
Shape n, expresses the shape of a 1D array with n items, and n, 1 the shape of a n-row x 1-column array. (R,) and (R,1) just add (useless) parentheses but still express respectively 1D …
python - Explaining the differences between dim, shape, rank, …
Mar 1, 2014 · I'm new to python and numpy in general. I read several tutorials and still so confused between the differences in dim, ranks, shape, aixes and dimensions. My mind …
How to merge color, line style and shape legends in ggplot
May 10, 2016 · It is often appropriate to have redundant shape/color group definitions. In many scientific publications, color is the most visually effective way to distinguish groups, but you …
arrays - what does numpy ndarray shape do? - Stack Overflow
Nov 30, 2017 · 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you can get the (number of) dimensions of your array using …
Understanding the shape of spectrograms and n_mels
Jun 26, 2020 · I am going through these two librosa docs: melspectrogram and stft. I am working on datasets of audio of variable lengths, but I don't quite get the shapes. For example: …
OpenCV shape matching between two similar shapes
Apr 5, 2019 · I'm trying to match a slightly irregular shape to a database of shapes. For example, here the contour I'm trying to match: For more information, this is an outline of an HDMI …
python - MemoryError: Unable to allocate MiB for an array with …
MemoryError: Unable to allocate MiB for an array with shape and data type, when using anymodel.fit () in sklearn Asked 5 years, 3 months ago Modified 2 years, 10 months ago …
numpy: "size" vs. "shape" in function arguments? - Stack Overflow
Oct 22, 2018 · Shape (in the numpy context) seems to me the better option for an argument name. The actual relation between the two is size = np.prod(shape) so the distinction should …
python - ValueError: shape mismatch: objects cannot be broadcast …
ValueError: shape mismatch: objects cannot be broadcast to a single shape It computes the first two (I am running several thousand of these tests in a loop) and then dies.