Yes, a T… is only a syntactic sugar for a T[]. JLS 8.4.1 Format parameters The last formal parameter in a list is special; it may be a variable arity parameter, indicated by an elipsis following the type. If the last formal parameter is a variable arity parameter of type T, it is considered to … Read more
The following should work: from matplotlib import pyplot as plt plt.imshow(data, interpolation=’nearest’) plt.show() If you are using Jupyter notebook/lab, use this inline command before importing matplotlib: %matplotlib inline A more featureful way is to install ipyml pip install ipympl and use %matplotlib widget see an example.
The size of an array can’t be modified. If you want a bigger array you have to instantiate a new one. A better solution would be to use an ArrayList which can grow as you need it. The method ArrayList.toArray( T[] a ) gives you back your array if you need it in this form. … Read more
You can convert to a Set and back to an Array again quite easily: let unique = Array(Set(originals)) This is not guaranteed to maintain the original order of the array.
import random random.shuffle(array)
Use numpy.unique with return_counts=True (for NumPy 1.9+): import numpy as np x = np.array([1,1,1,2,2,2,5,25,1,1]) unique, counts = np.unique(x, return_counts=True) >>> print(np.asarray((unique, counts)).T) [[ 1 5] [ 2 3] [ 5 1] [25 1]] In comparison with scipy.stats.itemfreq: In [4]: x = np.random.random_integers(0,100,1e6) In [5]: %timeit unique, counts = np.unique(x, return_counts=True) 10 loops, best of 3: … Read more
numpy.array is just a convenience function to create an ndarray; it is not a class itself. You can also create an array using numpy.ndarray, but it is not the recommended way. From the docstring of numpy.ndarray: Arrays should be constructed using array, zeros or empty … The parameters given here refer to a low-level method … Read more
NumPy 1.8 introduced np.full(), which is a more direct method than empty() followed by fill() for creating an array filled with a certain value: >>> np.full((3, 5), 7) array([[ 7., 7., 7., 7., 7.], [ 7., 7., 7., 7., 7.], [ 7., 7., 7., 7., 7.]]) >>> np.full((3, 5), 7, dtype=int) array([[7, 7, 7, 7, 7], … Read more
You could use this to sort all kind of Objects sort(T[] a, Comparator<? super T> c) Arrays.sort(a, Collections.reverseOrder()); Arrays.sort() cannot be used directly to sort primitive arrays in descending order. If you try to call the Arrays.sort() method by passing reverse Comparator defined by Collections.reverseOrder() , it will throw the error no suitable method found … Read more
You can use JDK > 1.5 Arrays.copyOfRange(Object[] src, int from, int to) Javadoc JDK <= 1.5 System.arraycopy(Object[] src, int srcStartIndex, Object[] dest, int dstStartIndex, int lengthOfCopiedIndices); Javadoc