Getting Started with Python

following up on another question import numpy as np repeat=int(1e5) r_base = np.linspace(0,4,5) a_… Read more Conditional Vectorized Calculation With Numpy Arrays Without Using Direct Masking

I have this Pandas DataFrame that has a column with lists: >>> df = pd.DataFrame({'m&#… Read more Pandas Counting Occurrence Of List Contained In Column Of Lists

My input is a numpy array of tuples values = np.array([(4, 5, 2, 18), (4, 7, 3, 8)]) and my funct… Read more Numpy Vectorize() Is Flattening The Whole Array

I have a pandas dataframe. df = pd.DataFrame(['Donald Dump','Make America Great Again!&… Read more Pandas Vectorized Operation To Get The Length Of String

I'm trying to implementing a k-medoids clustering algorithm in Python/NumPy. As part of this al… Read more Numpy: Vectorize Sum Of Distances To A Set Of Points

Suppose I have a column vector y with length n, and I have a matrix X of size n*m. I want to check … Read more Numpy Element-wise In Operation

Given two arrays, say arr = array([10, 24, 24, 24, 1, 21, 1, 21, 0, 0], dtype=int32) rep = arr… Read more Numpy Repeat For 2d Array

a=b=np.arange(9).reshape(3,3) i=np.arange(3) mask=a >>array([0, 1, 2]) b[np.where(mask[1])] … Read more Vectorization : Too Many Indices For Array