- What does . shape [] do in for i in range (Y. shape [0])?
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
- tensorflow placeholder - understanding `shape= [None,`
You can think of a placeholder in TensorFlow as an operation specifying the shape and type of data that will be fed into the graph placeholder X defines that an unspecified number of rows of shape (128, 128, 3) of type float32 will be fed into the graph a Placeholder does not hold state and merely defines the type and shape of the data to flow
- Pandas Dataframe ValueError: Shape of passed values is (X, ), indices . . .
Pandas Dataframe ValueError: Shape of passed values is (X, ), indices imply (X, Y) Asked 11 years, 9 months ago Modified 7 years, 5 months ago Viewed 60k times
- How to merge color, line style and shape legends in ggplot
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 also know that a large fraction of readers will be printing black and white copies of the paper, and so you also want to include a visual cue that isn't dependent on color
- python - ValueError: shape mismatch: objects cannot be broadcast to a . . .
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
- python - ValueError: could not broadcast input array from shape . . .
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:
- What does shape[0] and shape[1] do in python? - Stack Overflow
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 = train_set_x_orig shape [0]
- How do I get the row count of a Pandas DataFrame?
There's one good reason why to use shape in interactive work, instead of len (df): Trying out different filtering, I often need to know how many items remain With shape I can see that just by adding shape after my filtering With len () the editing of the command-line becomes much more cumbersome, going back and forth
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