问题描述
这是我的代码,无论我继续遇到什么错误并遵循所有与索引相关的解决方案,有人可以帮助我吗?
here is my code, no matters what I do I keep on getting the error and followed all the index related solutions, can anyone help me?
site = pd.read_csv('../data/survey_site.csv')
sampled = site.sample(n=1)
site = site.reset_index(drop=True)
sampled = sampled.reset_index(drop=True)
mask = site.mask(site['name'] == sampled['name'])
推荐答案
问题是site['name']
和sample['name']
之间的比较是在两个pd.Series
之间.您可以通过将其中一个作为标量来绕过它.但是,我注意到您使用了长度为1
的sample
.我怀疑您认为,当您使用sample['name']
时,它将是一个标量值.但是,它是一个长度为一个系列.因此,您只需要制作一个标量即可.
The issue is the comparison between site['name']
and sample['name']
is between two pd.Series
. You can bypass that by making one of them a scalar. However, I noticed that you took a sample
of length 1
. I suspect you thought that when you took sample['name']
that it would be a scalar value. But instead it is a length one series. So you just need to make is a scalar.
选项1
mask = site.mask(site['name'] == sampled['name'].squeeze())
选项2
mask = site.mask(site['name'] == sampled.loc[0, 'name'])
这篇关于ValueError:只能比较标记相同的Series对象的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!