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 …
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · On the other hand, x.shape is a 2-tuple which represents the shape of x, which in this case is (10, 1024). x.shape[0] gives the first element in that tuple, which is 10. Here's a …
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 …
Understanding Tensorflow LSTM Input shape - Stack Overflow
Sep 5, 2016 · But isn't the input_shape defined as (sample_size,timestep, features). ? That's tensorflow site mentions about input_shape.
Keras input explanation: input_shape, units, batch_size, dim, etc
Jun 25, 2017 · For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the …
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 …
How to find the size or shape of a DataFrame in PySpark?
Why doesn't Pyspark Dataframe simply store the shape values like pandas dataframe does with .shape? Having to call count seems incredibly resource-intensive for such a common and …
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 …
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 …