Most efficient way to find mode in numpy array
Check scipy.stats.mode() (inspired by @tom10’s comment): Output: As you can see, it returns both the mode as well as the counts. You can select the modes directly via m[0]: Output:
Check scipy.stats.mode() (inspired by @tom10’s comment): Output: As you can see, it returns both the mode as well as the counts. You can select the modes directly via m[0]: Output:
You have the wrong mental model for using NumPy efficiently. NumPy arrays are stored in contiguous blocks of memory. If you want to add rows or columns to an existing array, the entire array needs to be copied to a new block of memory, creating gaps for the new elements to be stored. This is … Read more
Here’s a trick to force imdb.load_data to allow pickle by, in your notebook, replacing this line: by this:
You are passing floats to a classifier which expects categorical values as the target vector. If you convert it to int it will be accepted as input (although it will be questionable if that’s the right way to do it). It would be better to convert your training scores by using scikit’s labelEncoder function. The … Read more
In numpy, I have two “arrays”, X is (m,n) and y is a vector (n,1) using I am getting the error When (97,2)x(2,1) is clearly a legal matrix operation and should give me a (97,1) vector EDIT: I have corrected this using X.dot(y) but the original question still remains.
You may have a NAN, INF, or NINF floating around somewhere. Try this: If one or both of those returns False, that’s likely the cause of the runtime error.
You’re getting the error message because you’re trying to set an array element with a sequence. I’m not trying to be cute, there — the error message is trying to tell you exactly what the problem is. Don’t think of it as a cryptic error, it’s simply a phrase. What line is giving the problem? … Read more
You can’t solve it. Simply answer1.sum()==0, and you can’t perform a division by zero. This happens because answer1 is the exponential of 2 very large, negative numbers, so that the result is rounded to zero. nan is returned in this case because of the division by zero. Now to solve your problem you could: go … Read more
The error TypeError: ‘numpy.ndarray’ object is not callable means that you tried to call a numpy array as a function. Use Instead of
The purpose of meshgrid is to create a rectangular grid out of an array of x values and an array of y values. So, for example, if we want to create a grid where we have a point at each integer value between 0 and 4 in both the x and y directions. To create … Read more