I get the following UserWarning when trying to cache results using joblib: from tempfile import mkdtemp cachedir = mkdtemp() from joblib import Memory memory =
I'm new to the world of opencv and few days ago I tried to install it. I installed everything and moved the cv2 file from opencv to python 2.7. I tired oving bo
I cannot figure out the following problem: Elements that were placed at the corners of an 4X3 array are selected. The row indices of the selected items are [0
I want to calculate the Determinant of a Singular Matrix (which has a 0 determinant) with Numpy and when I print the determinant it shows a really small number
If we want to search for the optimal parameters theta for a linear regression model by using the normal equation with: theta = inv(X^T * X) * X^T * y one step
For some rectangular we can select all indices in a 2D array very efficiently: arr[y:y+height, x:x+width] ...where (x, y) is the upper-left corner of the rec
Let a = np.array([1, 1, 1,1,1,1]) b = np.array([2,2,2]) be two numpy arrays. Then let c = [a]+[b]+[b] clearly, c has duplicated elements b. Now I wish to
Launching pyspark in client mode. bin/pyspark --master yarn-client --num-executors 60 The import numpy on the shell goes fine but it fails in the kmeans. Someho
I have an array and want to find the average between 2 numbers and add an additional element between the 2 numbers. For example, if I start with x = np.array([1
I'm trying to create a convolution kernel, and the middle is going to be 1.5. Unfortunately I keep running in to ideas on how to do that. I'm trying to create s
x = np.arange(0,2,0.5) valeur = 2*x if valeur <= 0.6: print ("this works") else: print ("valeur is too high") here is the error I get: if vale
I'm trying to generate a sine wave of a given frequency for a given duration and then write it into a .wav file. I'm using numpy's sin function and scipy's wavf
I have this kind of dataframe, and I'm looking to get for each row the last column name equals to 1 Here is an example of my dataframe col1 col2
I currently have a numpy array or RBG tuples that I want to convert to a PIL image and save. Currently I'm doing the following: final = Image.fromarray(im_arr,
The gaussian_kde function in scipy.stats has a function evaluate that can returns the value of the PDF of an input point. I'm trying to use gaussian_kde to esti
In short, the problem I encounter is this: aa = np.arange(-1., 0.001, 0.01) aa[-1] Out[16]: 8.8817841970012523e-16 In reality, this cause a series problem si
Hopefully this is a quick and easy question that is not a repeat. I am looking for a built in numpy function (though it could also be a part of another library)
I need to find the first and the last element of a numpy.ndarray which are above a specified threshold. I found the following solution, which works, but it look
I want to change list to tensor with tf.convert_to_tensor, data is following: data=[ array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.
Suppose I have the following function: def f(x,y): return x*y How do I apply the funtion to each element in an NxM 2D numpy array using the multiprocessi