I have pd.DataFrame containing rows of values: import pandas as pd df = pd.DataFrame({"col1": [1, 2, 3, 4, 5, 6], "col2": [6, 5, 4, 3, 2, 1]}) I now want to f
Suppose the below simplified dataframe. (The actual df is much, much bigger.) How does one assign values to a new column f such that f is a function of another
I am in need of a shuffle function that uses CSPRNG (Cryptographically Secure Pseudo Random Number Generator) and can be seeded manually for the same output for
I know that you cant stack or concatenate arrays of different lenghths in NumPy as all matrices need to be rectangular, but is there any other way to achieve th
I would like to append elements to en empty Numpy array in-place. I know the maximum array size beforehand. I can't find a direct way to accomplish that, so her
I have the following data frame. test = { "a": [[[1,2],[3,4]],[[1,2],[3,4]]], "b": [[[1,2],[3,6]],[[1,2],[3,4]]] } df = pd.DataFrame(test) df a b 0
Let's say I have 2 numpy arrays, with the same 1200x1200 shape. The first one contains boolean values. The second one is an image, that was converted to boolean
Original question I have about 80-100 images such as (A). Each image is composed of shapes that were filled with black color after marking the outline in ImageJ
As metioned in the title, I am getting this TyperError for the following code I am using google collab and is set to GPU runtime type. %%time history = [evaluat
import pandas as pd import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split,cross_val_score from sklearn.tree import DecisionTreeCl
We have data as below Name value1 Value2 finallist 0 cosmos 10 20 [10,20] 1 network 30 40 [30,40] 2 unab 20 40 [20,40]
I want to defining the following function: def f(x,y): return pow(x, 1/3) + y x = np.linspace(-1, 1, 10) y = np.linspace(-1, 1, 10) X, Y = np.meshgrid(x,
Is there a smart way to get the indices of all the entries within four points? In particular this is about the case where I have four points (x_1, y_1), (x_1, y
I'm using numpy where with multiple conditions to assign a category based on a text string a transaction description. Part of the code is below `import numpy as
Suppose that we have 2 2X2 numpy arrays: X=np.array([[0,1],[1,0]]) and I=np.array([[1,0],[0,1]]) Consider the Kronecker product XX=X^X where I have let the s
Basically I have these arrays print(img_arr[0].shape)->(returns) (122218,) print(img_arr1[0].shape)->(returns) (125204,) so when I did
I was trying to install numpy version 1.22.3 on a M1 Macbook with pip3, and pip3 says the package is present, but when I try to import the module, an error gets
Please, I know there are several issues related to this error of mine, but I'm learning, I don't understand almost anything, so please, if it's not asking too m
I have written a program where it takes a radius range(R to 5) and theta range(0 to 2pi). It converts the polar coordinates to Cartesian coordinates. Then I hav
How do I check which rows of one small array exists in another larger one? Given the following setup: final_batch = np.emtpy((batch_size,2)) batch_size = 4 a =
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