python - What does .shape [] do in "for i in range (Y.shape [0 ...
The shape attribute for numpy arrays returns the dimensions of the array. If Y has n rows and m columns, then Y.shape is (n,m). So Y.shape[0] is n.
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 and 2D array …
arrays - what does numpy ndarray shape do? - Stack Overflow
Nov 30, 2017 · 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 yourarray.ndim or np.ndim(). …
tensorflow placeholder - understanding `shape= [None,`
You can think of a placeholder in TensorFlow as an operation specifying the shape and type of data that will be fed into the graph.placeholder X defines that an unspecified number of rows of shape (128, …
python - shape vs len for numpy array - Stack Overflow
May 24, 2016 · Still, performance-wise, the difference should be negligible except for a giant giant 2D dataframe. So in line with the previous answers, df.shape is good if you need both dimensions, for a …
python - ValueError: shape mismatch: objects cannot be broadcast to a ...
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.
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 seems to be stuck at …
tensorflow - raise ValueError (f"Cannot convert ' {shape}' to a shape ...
Feb 27, 2024 · shape: A shape tuple (integers), not including the batch size. For instance, shape= (32,) indicates that the expected input will be batches of 32-dimensional vectors. Elements of this tuple …
Combine legends for color and shape into a single legend
I'm creating a plot in ggplot from a 2 x 2 study design and would like to use 2 colors and 2 symbols to classify my 4 different treatment combinations. Currently I have 2 legends, one for the colo...
Understanding the shape of spectrograms and n_mels
Jun 26, 2020 · What I get are the following points: Sample rate is that you get N samples each second, in this case 22050 samples each second. The window length is the FFT calculated for that period of …