numpy uses tuples as indexes. In this case, this is a detailed slice assignment. [0] #means line 0 of your matrix [(0,0)] #means cell at 0,0 of your matrix [0:1] #means lines 0 to 1 excluded of …

8 Aug 2010 · Now, if you can use scipy, you could use scipy.optimize.curve_fit to fit any model without transformations.. For y = A + B log x the result is the same as the transformation method:

19 Aug 2010 · You can then easily, and with less time even for huge amount of data, load your data in a NumPy array. import pandas as pd store = pd.HDFStore('dataset.h5') data = …

Numpy has a convenience function, np.fft.fftfreq to compute the frequencies associated with FFT components: from __future__ import division import numpy as np import matplotlib.pyplot as …

14 Oct 2016 · Always use numpy arrays, and not numpy matrices. See what the numpy docs say about this. Also note that from python 3.5+, you can use @ for matrix multiplication with …

12 Jun 2012 · python -m timeit -s "import numpy as np" -s "import itertools" -s "a = np.array(list(range(10000)))" -s "index=[i for i in range(10000) if i % 2 == 0]" "a = …

numpy logical_and and logical_or are the ufuncs that you want (I think) Note that & is not logical and , it is bitwise and . This still works for you because (a>10) returns a logical array (e.g. 1's …

@RamonMartinez, to know that the object is a numpy object, this way i can use .item for almost any numpy object. default function is called for all unknown types json.dumps attempts to …

9 Sep 2013 · This answer contains a lot of examples but doesn't lay out what -1 does in plain English. When reshaping an array, the new shape must contain the same number of elements …

import numpy as np # generate the random array A = np.random.randint(5, size=(10,3)) # use the choice method of the Generator class rng = np.random.default_rng() A_sampled = …