Category "numpy"

Crop a polygon shape from an image without libraries except numpy

I have a list of points let's say 5 points. I want to crop the area that this polygon is covering from the image. Here, red areas are the points and I want to c

How to I make a image from numpy array in python?

I want to map each numpy array to a color to create an image. For example: if I have the numpy array: [ [0 0 1 3] [0 2 4 5] [1 2 3 6] ] I want to make an ima

Remove and insert element to a specified indices in Numpy array

Suppose I have a numpy array from which I want to remove a specific element. # data = np.array([ 97 32 98 32 99 32 100 32 101]) # collect indices where th

Reshaping numpy array without changing the data

I'm trying to reshape an array of bitmap images that has a shape of (50,50,90000). How can I modify it so that I can get an array of (90000,50,50)? - I tried ar

Assign multiple columns different values based on conditions in Panda dataframe

I have dataframe where new columns need to be added based on existing column values conditions and I am looking for an efficient way of doing. For Ex: df = pd.D

How to calculate values in Pandas Dataframe itself?

You can see my dataframe below, x values are different value, but other values are same with left values, for example, column 15 and column 16 are same value. I

Any efficient analogue of argsort for array of indices with NumPy?

I have an array of indices like a = [2, 4, 1, 0, 3] and I want to transform it into np.argsort(a) = [3, 2, 0, 4, 1]. The problem is that argsort has O(n*log(n))

What is the best way in numpy to use a vector of positions as indexes in a an nd array?

I have a numpy array of agents positions: positions = np.array([[row_0, col_0], [row_1, col_1], [row_2, col_2]]) I

Calculate the pair-wise correlation between distinct class pairs over two feature columns and the target variable?

Most similar questions relating to calculating this involve a single correlation value for each feature column, showing how the features in a dataset correlate

How to use dictionary data initialized in a "class" object

I expose the problem quickly: I have to create 3 classes. X Y and Z, inside X y and z are initialized as variables of class x but not as objects Y and Z. What i

convert matplotlib figure to 2-D Array to show in pyqtgraph.ImageItem

i find an example in this Link which show 2-D array in pyqtgraph.ImageItem. import matplotlib.pyplot as plt import numpy as np import pyqtgraph as pg def main(

Assign values from irregular grid points to standard grid points using interpolation

I have (a lot of) data like below y = [1, 3, 4, 5] which corresponds to the grid points x = [1, 2, 3, 4] On the other hand, I have a standard grid X = [1, 3]

Cosine similarity and cosine distance formulas relation

Can someone explain these two formulas? Do they have any relationship? def _cosine_distance(a, b, data_is_normalized=False): if not data_is_normalized:

Numpy Array is not copying over all values of the array to csv file

I'm having trouble with the formatting of my array when it it saved to a csv file, each time I run the program I get a different result, sometimes the string "c

How to iterate over rows of each column in a dataframe

My current code functions and produces a graph if there is only 1 sensor, i.e. if col2, and col3 are deleted in the example data provided below, leaving one col

np.histogram outputs?? - Python

Trying to understand what kind of output do I get from the histogram function. phase = mod(phase,Nper*2*pi) cl_phase = arange(0,Nper*2*pi+step,step) c,p = histo

Why is not the following 3D polar plot of Array Factor being plotted?

import numpy as np import math as mt import matplotlib.pyplot as plt import mpl_toolkits.mplot3d.axes3d as axes3d #############################################

How to plot some datasets in pandas based on different thresholds in python

I have a data frame that has 3 columns and I want to plot a line graph based on some thresholds. Here is the data frame date income ratio 0 2022-0

Get two neighboring non-nan values in numpy array

Let's say I have a numpy array my_array = [0.2, 0.3, nan, nan, nan, 0.1, nan, 0.5, nan] For each nan value, I want to extract the two non-nan values to the lef

GCloud compute tunnel always shows warning telling to install numpy

I am setting up a tunnel with gcloud from a remote machine with: gcloud compute start-iap-tunnel ... Everything used to be fine until a few days ago when it st