Is there an efficient method of limiting sets of unique combinations of two lists in Python? Question: I have the following code to generate each set of unique combinations between two lists. Alternatively phrased, all possible sets of matches of targets from a list of sources. from itertools import permutations def combos(sources, targets): assert len(sources) …
Python weighted random choices from lists with different probability, comparing two Pandas DataFrame from CSVs Question: Python beginner, here. I am attempting to take a pandas DataFrame (created from a CSV) and use weighted random choices to choose from another DataFrame (created from a CSV). What I have is two pandas DataFrames that read something …
How to compute a weighted loop? Question: This is a portion of my data frame: df = pd.DataFrame({ ‘IBI_msec’: [652, 618, 654], ‘rate’: [92.02, 97.09, 91.74] }) I need to compute a loop that enables me to compute this logic: if 652 > 500, then bin = 92.02, and the remaining (652 – 500) goes …
Python: Weighted coefficient of variation Question: How can I calculate the weighted coefficient of variation (CV) over a NumPy array in Python? It’s okay to use any popular third-party Python package for this purpose. I can calculate the CV using scipy.stats.variation, but it’s not weighted. import numpy as np from scipy.stats import variation arr = …
More efficient weighted Gini coefficient in Python Question: Per https://stackoverflow.com/a/48981834/1840471, this is an implementation of the weighted Gini coefficient in Python: import numpy as np def gini(x, weights=None): if weights is None: weights = np.ones_like(x) # Calculate mean absolute deviation in two steps, for weights. count = np.multiply.outer(weights, weights) mad = np.abs(np.subtract.outer(x, x) * count).sum() …
Weighted mean in numpy/python Question: I have a big continuous array of values that ranges from (-100, 100) Now for this array I want to calculate the weighted average described here since it’s continuous I want also to set breaks for the values every 20 i.e the values should be discrete as -100 -80 -60 …
Weighted percentile using numpy Question: Is there a way to use the numpy.percentile function to compute weighted percentile? Or is anyone aware of an alternative python function to compute weighted percentile? thanks! Asked By: user308827 || Source Answers: Unfortunately, numpy doesn’t have built-in weighted functions for everything, but, you can always put something together. def …
Weighted standard deviation in NumPy Question: numpy.average() has a weights option, but numpy.std() does not. Does anyone have suggestions for a workaround? Asked By: YGA || Source Answers: There doesn’t appear to be such a function in numpy/scipy yet, but there is a ticket proposing this added functionality. Included there you will find Statistics.py which …
