Search results
- Dictionaryshape/ʃeɪp/
noun
- 1. the external form, contours, or outline of someone or something: "she liked the shape of his nose" Similar
- 2. a geometric figure such as a square, triangle, or rectangle.
verb
- 1. give a particular shape or form to: "most caves are shaped by the flow of water through limestone" Similar
- 2. (of a sports player or athlete) take up a stance or set oneself to perform a particular action: "I had plenty of time and shaped to kick to the near touchline"
Powered by Oxford Dictionaries
Jun 25, 2017 · Given the input shape, all other shapes are results of layers calculations. The "units" of each layer will define the output shape (the shape of the tensor that is produced by the layer and that will be the input of the next layer). Each type of layer works in a particular way. Dense layers have output shape based on "units", convolutional ...
Aug 3, 2017 · Notice I can specfiy the shape of the data frame by passing in an ncol parameter. I can then fill it either byrow or bycolumn (in this case by row). If I were to replicate this in Python/Pandas, it's easy enough to create the sequence: myData = [x**2 for x in range(5,11) ] However, how do easily make a dataframe of the same size? I can do ...
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 your array.
To create an empty multidimensional array in NumPy (e.g. a 2D array m*n to store your matrix), in case you don't know m how many rows you will append and don't care about the computational cost Stephen Simmons mentioned (namely re-buildinging the array at each append), you can squeeze to 0 the dimension to which you want to append to: X = np.empty(shape=[0, n]).
I have some problems finding the documentation of the definitions of shapes in XML for Android. I would like to define a simple circle filled with a solid color in an XML File to include it into my
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 shapes, Parentheses around a tuple force the evaluation order and prevent it to be read as a list of values (e.g. in function calls). This tuple ...
Jul 26, 2019 · I like to have different shapes depending on the values of some variables in R. Actually, a combination of variables. I like to give an exact shape number ( stored as s) to the combination. I already tried to generate a new variable that sums the shape I want.
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(). (i.e. it gives the n of the ndarray since all arrays in NumPy are just n-dimensional arrays (shortly called as ndarrays))
You need to create a "Shape layer" or "Work path" to be able to define a custom shape. 1) As first click on rectangle tool and then on shape layers selector. 2) After that draw a new layer and click with a right mouse button on that layer. You will see "Define Custom shape" option. 3) Or you can create a new layer with a pen tool
Nov 27, 2015 · #define to define numerical constants can be easily replaced by a const "variable", that, as a #define, doesn't really exist in the compiled executable. AFAIK it can be used in almost all the situations where you could use a #defined numerical constant, including array bounds. The main advantage for me is that such constants are clearly typed ...
