FutureWarning

Repository metrics

Stars

647 stars (647 stars)

PR merge metrics

PR metrics pending (PR metrics pending)

Description

...lib\site-packages\scipy\optimize\_zeros_py.py:809: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
r = _zeros._brentq(f, a, b, xtol, rtol, maxiter, args, full_output, disp)

from KDEpy import FFTKDE
import warnings
warnings.filterwarnings("always")


customer_ages = [40, 56, 20, 35, 27, 24, 29, 37, 39, 46]
FFTKDE(kernel="gaussian", bw=1.0).fit(customer_ages).evaluate([0,10,20,30,40,50,60])

Contributor guide

Research direction

Inspect the FutureWarning traceback in the scipy optimization module. Locate the call to ` zeros. brentq` in the KDEpy source and ensure that the input is a scalar, not an array. This will prevent the deprecation warning from becoming an error.

Tech stack

pythonnumpy

Domain

data

Issue type

Bug

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

2

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Clear

Prerequisites

Python

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

75