What Shape Glasses Look Best On Long Faces 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
82 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 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
What Shape Glasses Look Best On Long Faces
What Shape Glasses Look Best On Long Faces
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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 Instead of calling list does the Size class have some sort of attribute I can access directly to get the shape in a tuple or list form
List object in python does not have shape attribute because shape implies that all the columns or rows have equal length along certain dimension Let s say list variable a has 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
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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 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
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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
https://stackoverflow.com › questions
82 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
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What Shape Glasses Look Best On Long Faces - 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
