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AstroPy调用SDSS.get spectra异常求助:旧代码现触发警告

Hey there! Let's break down those two warnings you're hitting and walk through how to handle them:

1. Astroquery SDSS Experimental API Warning

~/astroconda/lib/python3.5/site-packages/astroquery/sdss/init.py:28: UserWarning: Experimental: SDSS has not yet been refactored to have its API match the rest of astroquery (but it's nearly there). warnings.warn("Experimental: SDSS has not yet been refactored to have its API "

This is just a heads-up from the astroquery team that the SDSS module's API is still being tweaked to match the rest of the astroquery ecosystem. The good news is it doesn't break your code—your script will still run as intended. If you want to get rid of the warning though:

  • Upgrade astroquery: Since the message says it's "nearly there", newer versions might have finished the API refactor. Run either pip install --upgrade astroquery (if using pip) or conda update astroquery (for your astroconda environment) to grab the latest version.
  • Temporarily suppress the warning: If you can't upgrade right now, add this at the very top of your script to hide this specific UserWarning:
import warnings
warnings.filterwarnings("ignore", category=UserWarning, message="Experimental: SDSS has not yet been refactored")

2. VisibleDeprecationWarning (Reading unicode...)

This warning usually pops up because the version of numpy (or a library that relies on numpy) you're using has changed how it handles unicode strings, and your older code is using a pattern that's now marked outdated. Here's what to do:

  • Upgrade numpy: Outdated numpy versions are a common culprit here. Update it with pip install --upgrade numpy or conda update numpy—newer releases often fix these compatibility quirks.
  • Adjust your string handling: If upgrading doesn't resolve it, take a look at the part of your code where you're reading SDSS data. Make sure you're handling strings in a way that aligns with current numpy standards, like explicitly specifying encoding if needed.
  • Suppress the warning (last resort): If you need a quick fix and don't mind ignoring it temporarily, add this to your script (just remember to address the root cause long-term):
import numpy as np
import warnings
warnings.filterwarnings("ignore", category=np.VisibleDeprecationWarning)

One extra note: Your environment is using Python 3.5, which has been end-of-life for years. Many modern library versions drop support for Python 3.5, which can lead to more warnings and compatibility issues over time. If possible, upgrading to Python 3.8 or later will make your setup more stable and easier to maintain.

内容的提问来源于stack exchange,提问作者npross

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最近更新时间:2026.05.20 10:38:03