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Python 2021-10-17 06:02:04
python numpy how to empty array cycle
In [210]: %%timeit .....: l = [] .....: for i in xrange(1000): .....: l.append([3*i+1,3*i+2,3*i+3]) .....: l = np.asarray(l) .....: 1000 loops, best of 3: 1.18 ms per loop In [211]: %%timeit .....: a = np.empty((0,3), int) ........ Add solution -
Python 2021-09-29 03:53:04
apply numba to itertools import product
@nb.njit(nb.int32[:,:](nb.int32[:])) def cproduct_idx(sizes: np.ndarray): """Generates ids tuples for a cartesian product""" assert len(sizes) >= 2 tuples_count = np.prod(sizes) tuples = np.zeros((tuples_c... Add solution -
Python 2021-09-24 18:46:03
numpy array storing in file by python
# long arrays can be stored in csv files far more efficiently import numpy as np import csv # uploading arrays in a csv file arr1 = [i for i in range(500)] arr2 = [i for i in range(1000)] arr3 = [i for i in range(2000)] # you can write('w') or append('a'... Add solution -
Python 2021-09-22 21:18:04
ValueError: logits and labels must have the same shape ((None, 1) vs (None, 2))
# you should reshape your labels as 2d-tensor # the first dimension will be the batch dimension and the second the scalar label) y_train = np.asarray(train_labels).astype('float32').reshape((-1,1)) y_test = np.asarray(test_labels).astype('float32').resha... Add solution -
Python 2021-09-19 06:14:04
na.kalman in python
>>> from pykalman import KalmanFilter >>> import numpy as np >>> kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]]) >>> measurements = np.asarray([[1,0], [0,0], [... Add solution
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