我需要经常将 pandas df 转换为 .fits 文件，反之亦然 - 我得到了 .fits 文件，我更容易将它们作为 pandas dfs 处理。在这些文件类型之间进行转换的最直接方法是什么？
最佳答案
# 1.) how to convert a pandas df
# (or almost any ascii data file) to astropy table
# and save the table as .fits file
from astropy.table import Table
import pandas as pd
df = pd.read_csv('some_file.dat', delim_whitespace=True, skiprows=7, names=['A', 'B', 'C'])
t = Table.from_pandas(df)
t.write('some_file.fits')
# 2.) how to convert a fits file (or astropy table) to pandas df
dat = Table.read('some_file.fits')
df = dat.to_pandas()
# 3.) it is like 1.) but without a df as intermediate step -
# how to read a csv/ascii file directly as astropy table
# and save it as .fits
table = Table.read('some_file.dat', format='ascii.tab')
table.write('some_file.fits', overwrite=True)
关于pandas - 如何将 .fits 文件/astropy 表转换为 pandas df 和反向？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/71142383/