For example, there's an array like below. li = np.array([[1,2,3,4,5], [4,5,6,7,8], [1,2,3,4,5], [4,5,6,7,8],
In Python, how could you check if the type of a number is an integer without checking each integer type, i.e., 'int', 'numpy.int32', or 'numpy.int64'? I though
I want to make a realtime application, which involves finding the edges of a binary mask. I need something fast, without GPU if possible, that runs hopefully be
I have an existing two-column numpy array to which I need to add column names. Passing those in via dtype works in the toy example shown in Block 1 below. With
I am not completely satisfied with the default scientific formatting for the tick labels. For example, import numpy as np import pylab pylab.rcParams['text.us
I am trying to answer the following question "A colleague has produced a file with one DNA sequence on each line. Download the file and load it into Python usi
I'm trying to run a simple testfile on a remote Server. But it throws a numpy error for matplotlib.pyplot. Here is the code import matplotlib.pyplot as plt impo
I see there is an array_split and split methods but these are not very handy when you have to split an array of length which is not integer multiple of the chun
I want to fit a plane to some data points and draw it. My current code is this: import numpy as np from mpl_toolkits.mplot3d import Axes3D import matplotlib.py
import numpy print "asdf" When I try to debug/run the above Python code in Visual Studio Code I get the following error (Using OSX) ImportError, cannot im
I am trying to vectorize the following code: for i in xrange(s.shape[0]): a[i] = np.argmax(np.random.multinomial(1,s[i,:])) s.shape = 400 x 100 [
Is there a better way to determine whether a variable in Pandas and/or NumPy is numeric or not ? I have a self defined dictionary with dtypes as keys and nume
I have a tensor with the following properties. I want to save the numpy = 1 but I don't know how to access this value. How do I do this? test_labels[1] <tf.
NOTE Added After: I finally got numpydoc working. It was also a python 2 problem. I ran 2to3 on it and now it seems to be working. OK, I've spent an entire d
For a current project I have to compute the inner product of a lot of vectors with the same matrix (which is quite sparse). The vectors are associated with a tw
I have written the following code to plot 6 pie charts in different subplots, but I get an error. This code works correctly if I use it to plot only 2 charts, b
I'm working on my master thesis right now and need to animate a high number of points moving. Those points will be representing predators and prey. The number o
Hi I have a list flat which is length 2800, it contains 100 results for each of 28 variables: Below is an example of 4 results for 2 variables [0, 0, 1, 1,
I need convert the data stored in a pandas.DataFrame into a byte string where each column can have a separate data type (integer or floating point). Here is a
I am trying to use OpenCV with Python in order to detect squares in a live video feed from a Raspberry Pi camera. However, the cv2.GaussianBlur and cv2.Canny fu