Shape Coloring Sheets . 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.
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Please can someone tell me work of shape [0] and shape [1]? In python shape [0] returns the dimension but in this code it is returning total number of set. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array.
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Free Shapes Coloring Pages For Kids
In python shape [0] returns the dimension but in this code it is returning total number of set. X.shape[0] gives the first element in that tuple, which is 10. 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; So in your case, since the index value of y.shape[0] is 0, your are working along the first.
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Shape Coloring Sheets - Shape is a tuple that gives you an indication of the number of dimensions in the array. 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 yourarray.ndim. X.shape[0] gives the first element in that tuple, which is 10. So in your case,.
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Shape Coloring Sheets - 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; Shape is a tuple that gives you an indication of the number of dimensions in the array. Please can someone tell me work of shape [0] and shape [1]? X.shape[0] gives the first element in that tuple, which is 10. And you can get the.
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Shape Coloring Sheets - In python shape [0] returns the dimension but in this code it is returning total number of set. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. So in your case, since the index value of y.shape[0] is 0, your are working along the first. Shape is a tuple that gives you an indication.
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Shape Coloring Sheets - In python shape [0] returns the dimension but in this code it is returning total number of set. 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. So in your case, since the index value of y.shape[0] is 0,.
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Shape Coloring Sheets - (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. Please can someone tell me work of shape [0] and shape [1]? So in your case, since the index value of y.shape[0] is 0, your are working along the first. And you can get the (number of) dimensions of your array using yourarray.ndim. In python.
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Shape Coloring Sheets - Please can someone tell me work of shape [0] and shape [1]? 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; So in your case, since the index value of y.shape[0] is 0, your are working along the first. In python shape [0] returns the dimension but in this code it is returning total.
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Shape Coloring Sheets - So in your case, since the index value of y.shape[0] is 0, your are working along the first. X.shape[0] gives the first element in that tuple, which is 10. 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 yourarray.ndim. Shape is a.
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Shape Coloring Sheets - (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. Please can someone tell me work of shape [0] and shape [1]? So in your case, since the index value of y.shape[0] is 0, your are working along the first. And you can get the (number of) dimensions of your array using yourarray.ndim. Shape is.
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Shape Coloring Sheets - X.shape[0] gives the first element in that tuple, which is 10. And you can get the (number of) dimensions of your array using yourarray.ndim. In python shape [0] returns the dimension but in this code it is returning total number of set. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. Please can someone.
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Shape Coloring Sheets - X.shape[0] gives the first element in that tuple, which is 10. Shape is a tuple that gives you an indication of the number of dimensions in the array. 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; Please can someone tell me work of shape [0] and shape [1]? In python shape [0] returns.
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Shape Coloring Sheets - And you can get the (number of) dimensions of your array using yourarray.ndim. Please can someone tell me work of shape [0] and shape [1]? Shape is a tuple that gives you an indication of the number of dimensions in the array. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. X.shape[0] gives the.
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Shape Coloring Sheets - X.shape[0] gives the first element in that tuple, which is 10. So in your case, since the index value of y.shape[0] is 0, your are working along the first. And you can get the (number of) dimensions of your array using yourarray.ndim. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. Shape is a.
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Shape Coloring Sheets - Shape is a tuple that gives you an indication of the number of dimensions in the array. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. In python shape [0] returns the dimension but in this code it is returning total number of set. X.shape[0] gives the first element in that tuple, which is.
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Shape Coloring Sheets - In python shape [0] returns the dimension but in this code it is returning total number of set. 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 yourarray.ndim. So in your case, since the index value of y.shape[0] is 0, your are.
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Shape Coloring Sheets - (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. X.shape[0] gives the first element in that tuple, which is 10. Shape is a tuple that gives you an indication of the number of dimensions in the array. 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; And you.
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Shape Coloring Sheets - 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; Shape is a tuple that gives you an indication of the number of dimensions in the array. In python shape [0] returns the dimension but in this code it is returning total number of set. And you can get the (number of) dimensions of your.
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Shape Coloring Sheets - 82 yourarray.shape or np.shape() or np.ma.shape() returns the shape of your ndarray as a tuple; Please can someone tell me work of shape [0] and shape [1]? X.shape[0] gives the first element in that tuple, which is 10. Shape is a tuple that gives you an indication of the number of dimensions in the array. In python shape [0] returns.
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Shape Coloring Sheets - In python shape [0] returns the dimension but in this code it is returning total number of set. (r,) and (r,1) just add (useless) parentheses but still express respectively 1d and 2d array. 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.