如何删除astropy Table中包含掩码元素的行？

Perfect, you don't need Pandas for this—Astropy has all the tools you need built right in. Here's how to filter out any rows that have at least one masked (missing) value:

from astropy.io import ascii
weather_data = """
day,precip,type
,1.5,rain
Tues, 9.,
Wed,1.1,snow
ed,,aaa
Wd,1.1,snow
"""
dat = ascii.read(weather_data)

# Filter to keep only rows with NO masked values
clean_table = dat[~dat.mask.any(axis=1)]

After running this, clean_table will only contain the Wed and Wd rows you want.

Breakdown of the logic: #

• dat.mask gives you a boolean array that lines up with your table—each True indicates a masked (missing) value in that position.
• .any(axis=1) scans each row and returns True if there's any masked value in that row (so this is the set of rows we want to exclude).
• Using ~ to invert that boolean array gives us the rows with no masked values, and slicing the original table with this array keeps only those valid rows.

内容的提问来源于stack exchange，提问作者Gabriel