Given a self-indexing (not sure if this is the correct term) numpy array, for example: a = np.array([3, 2, 0, 1]) This represents this permutation (=> is
I want to read a zipfile into memory and extract its content into a numpy array (as numpy-datatypes). This needs to happen in an extremely efficient/fast manner
I have a NumPy record array of floats: import numpy as np ar = np.array([(238.03, 238.0, 237.0), (238.02, 238.0, 237.01), (238.05
numpy seems to not be a good friend of complex infinities While we can evaluate: In[2]: import numpy as np In[3]: np.mean([1, 2, np.inf]) Out[3]: inf The f
I am using Python Numpy arrays (rasters converted to 2D arrays, specifically) and what I want to do is take one array that has arbitrary dummy values of -999 re
I have a NumPy ndarray to which I would like to add row/column headers. The data is actually 7x12x12, but I can represent it like this: A=[[[0, 1, 2, 3, 4, 5]
I would like to do this : I have this python code : import numpy as np import pylab as plt a = np.array([1,2,3,4,5,6,7,8,9,10]) b = np.array([7,8,6,3,2,1,5,8,4
If I have the upper triangular portion of a matrix, offset above the diagonal, stored as a linear array, how can the (i,j) indices of a matrix element be extrac
So I have an array of values of x (in increasing order) and the corresponding y values. Numpy's interp function takes in the X value, and the x and y arrays. Ho
I have created a simple numpy array with shape (4, 2) called A. import numpy as np A = np.array([[1, 2], [2, 2], [3, 2],
In c++, I define the following module: #include <boost/python.hpp> #include <numpy/arrayobject.h> bool foo(PyObject *obj) { if (!PyArray_Check
When importing librosa library, this error has occurred. C:\Users\jssong\anaconda3\envs\tensor_v2\lib\site-packages\numpy\core\getlimits.py:492: UserWarning: Si
I'm unsure exactly what information / context to provide with this post in order for it to be properly answered - so if I can add more information please let me
In numpy.argmax function, tie breaking between multiple max elements is so that the first element is returned. Is there a functionality for randomizing tie brea
I have an array, something like: array = np.arange(0,4,1).reshape(2,2) > [[0 1 2 3]] I want to both upsample this array as well as interpolate the re
I have a dataframe with 142 rows. I have created a new column. I want to fill this new column with a list containing strings. my_list = ['abc','def','hig'] df[
I have a Pandas series. I need to get sigma_i, which is the standard deviation of a series up to index i. Is there an existing function which efficiently calcul
The following line in PyCharm is flagged by on-the-fly inspection with unresolved reference errors for each import. (They are underlined red.) from numpy impor
Is there an equivalent function to numpy random choice in Tensorflow. In numpy we can get an item randomly from the given list with its weights. np.random.c
Suppose I have a greyscale image here: And a binary masked image here: With the same dimensions and shape. How do I generate something like this: Where the v