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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
python - shape vs len for numpy array - Stack Overflow 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 dimensions, for a single dimension, len() seems more appropriate conceptually Looking at property vs method answers, it all points to usability and readability of code
numpy: size vs. shape in function arguments? - Stack Overflow Shape (in the numpy context) seems to me the better option for an argument name The actual relation between the two is size = np prod(shape) so the distinction should indeed be a bit more obvious in the arguments names
How to find the size or shape of a DataFrame in PySpark? Why doesn't Pyspark Dataframe simply store the shape values like pandas dataframe does with shape? Having to call count seems incredibly resource-intensive for such a common and simple operation
python - Keras Dense layer Output Shape - Stack Overflow For example, output shape of Dense layer is based on units defined in the layer where as output shape of Conv layer depends on filters Another thing to remember is, by default, last dimension of any input is considered as number of channel