
python - x.shape [0] vs x [0].shape in NumPy - Stack Overflow
Jan 7, 2018 · 10 x[0].shape will give the Length of 1st row of an array. x.shape[0] will give the number of rows in an array. In your case it will give output 10. If you will type x.shape[1], it will …
android - How to set shape's opacity? - Stack Overflow
Jun 4, 2015 · I already know how to set the opacity of the background image but I need to set the opacity of my shape object. In my Android app, I have it like this: and I want to make this black …
raise ValueError(f"Cannot convert '{shape}' to a shape.") ValueError ...
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 …
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.
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: could not broadcast input array from shape ...
May 15, 2017 · ValueError: could not broadcast input array from shape (224,224,3) into shape (224) But the following will work, albeit with different results than (presumably) intended:
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 …
shape = 19, shape = 20 and shape=16 in R graphics [duplicate]
Jan 23, 2020 · In R graphics and ggplot2 we can specify the shape of the points. I am wondering what is the main difference between shape = 19, shape = 20 and shape = 16? Is it the size? …
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 …
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 …