I have a data frame like this: pd.DataFrame({'Material': ['Steel (16MnCr5)', 'X', 'X', 'X', 'Carbon black', 'Sulfur', 'Copper'], 'Weight': [4, 8, 0, 8, 6, 9, 3
To count the particular value of given column
My code: #importing required libraries import numpy as np from matplotlib.patches import Polygon import matplotlib.pyplot as plt #plotting data def func(x):
I have an array named fft with the length of length (800) and want to get the np.argmax(fft) and get as expected the maximum at position result (420). The data
ch4-out is the sample imageI have a numpy array that contains some image data (ch4_out). Now, I want to extract intensity profile along a particular line (horiz
I have four (nx1) dimensional arrays named a, b, c, and F. I want to run this algorithm without any loops. for i in range(n): if a[i] < b[i]: F[i
I have an array of 16 columns and 22 rows. please advice how to find all possible combinations with the following rules: I can't choose more than 1 value per ro
This is the code used in testing. I have been getting the error shown bellow. Can someone please tell me how to solve it? This is a custom trained model. I have
With list comprehension, I am able to take a 20x20 block of numbers in string format, and convert it to a list of lists of integers. The numbers are seperated b
Importing from pyxdameraulevenshtein gives the following error, I have pyxdameraulevenshtein==1.5.3, pandas==1.1.4 and scikit-learn==0.20.2. Numpy is 1.16.1.
This is my Pyhton code. import numpy as np import matplotlib.pyplot as plt n = 3; #% No of image T = 100;
I have a 3D array of image such as [ [ [225, 0, 0], [225, 225, 0], ... ], [ [225, 0, 0], [225, 225, 0],
I have three BGR color values (stored into numpy arrays) and I want to compute their mean value (of each element, as to have a numpy array looking like this : [
When I try to install pandas via pipenv I get a bunch of numpy errors after the locking process. When I try to install bs4 via pipenv it works fine, but for som
I am running the following Python code in PyCharm debug mode. import numpy as np, pandas as pd, numpy.polynomial.chebyshev as chebyshev from pathlib import Path
I work on a Python Script and I need to integrate a very long function. The function contains several array and I don't succeed to integrate it. I need to integ
I was comparing the result of my following python calculation with Mathematica: https://www.wolframalpha.com/input?i=sum+%28500+choose+r+%29%28-1%29%5Er+%2F%28r
I have a dataframe that looks like this: df = pd.DataFrame({'col1': [[[1,5,3],[0,0,0]], [[1,2,3],[0,0,0], [1,2,3]]]}) # which looks like this: col1 0 [[1
I want to solve a system of inequalities A x <= b, namely to visualize the set of solutions of this system. Are there any ways to do this in Python? The solu
I install the xtensor by conda conda install -c conda-forge xtensor and I find the position where the xtensor is installed, path_xtensor="/amax/home/user/minic