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.

May 24, 2016 · Looking at property vs method answers, it all points to usability and readability of code. So again, in your case, I would say if you want information about the whole dataframe …

Oct 6, 2017 · np.arange(x.shape[0]) you are giving the arange function the first scalar in the tuple provided by x.shape and in my example producing an array like this [0,1] because the first …

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 …

Jul 21, 2018 · In python shape[0] returns the dimension but in this code it is returning total number of set. Please can someone tell me work of shape[0] and shape[1]? Code: m_train = …

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 …

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.

Dec 1, 2016 · train.shape[0] python returned 1467 - an integer Curious how Pandas handles these two different inputs, and why they are different. Is this a specific feature, or just a quirk?

Feb 23, 2019 · This part (red_df.shape[0]) just to return an integer with the total number of rows in the red_df to create the new add column 'Color' with the same number of raws of its related …

Jan 29, 2021 · I'm trying to find out how this above-mentioned piece of code works in a layman sense? for context, this code contains Numpy, Seaborn, Pandas and matplotlib. below is the …