<p>IIUC</p>
<pre><code>import pandas as pd
import numpy as np
from io import StringIO
csvfile = StringIO("""(m-M),err(m-M),D,Method,Refcode,Notes,SN Name,Redshift,H0,LMCModulus
28.96,0.20,6.190,SNII optical,2017ApJ...841..127M,EPM,SN 2013ej,,,
29.13,,6.700,SNII optical,2004A&A...427..453V,EPM,SN 2002ap,,,
29.29,,7.200,SNII optical,2006PASP..118..351V,,SN 2003gd,,,
29.94,0.54,9.730,SNII optical,2010ApJ...715..833O,"SCM, I",SN 2003gd,,,
29.98,0.28,9.910,SNII optical,2010ApJ...715..833O,"SCM, BVI",SN 2003gd,,,
29.98,0.55,9.910,SNII optical,2010ApJ...715..833O,"SCM, V",SN 2003gd,,,
29.99,0.42,9.950,SNII optical,2010ApJ...715..833O,"SCM, B",SN 2003gd,,,
30.01,0.07,10.000,SNII optical,2014AJ....148..107R,"V, photospheric magnitude method",SN 2013ej,,,
26.72,0.69,2.210,Tully-Fisher,1984A&AS...56..381B,B,,,103.00,
29.93,0.40,9.700,Tully-Fisher,1988NBGC.C....0000T,B,,,75.00,""")
df = pd.read_csv(csvfile)
vmin, vmax, vmean, vmedian = df['D'].agg(['min', 'max', 'mean', 'median'])
print(vmin)
print(vmax)
print(vmean)
print(vmedian)
print(f'The min is {vmin}. The max is {vmax}. The mean is {vmean}. The median is {vmedian}.')
</code></pre>
<p>输出:</p>
<pre><code>10.0
8.15
9.715
The min is 2.21. The max is 10.0. The mean is 8.15. The median is 9.715.
</code></pre>