如何使用 Pandas (.map) 进行标记？

问题描述

下表中带有pandas（.map）的标签

m2m_similarity.columns = ['MoviId 1','MoviId 2','similarity_score']
m2m_similarity.head(3)

我试图让标签稍微相似、相似和精确

m2m_similarity['analysis'] = m2m_similarity['similarity_score'].map({
    0.1: 'slightly-similar',0.2: 'slightly-similar',0.3: 'slightly-similar',0.4: 'slightly-similar',0.5: 'similar',0.6: 'similar',0.7: 'similar',0.8: 'similar',0.9: 'similar',1.0: 'Exacly'
})
m2m_similarity.head(3)

结果是Nan

解决方法

更好的方法是：

m2m_similarity['analysis'] = m2m_similarity['similarity_score'].map(lambda s: 'Exacly' if round(s,2) == 1 else ('similar' if round(s,2) >= 0.5 else 'slightly-similar'))

因为它将涵盖两者之间的所有选项。 无论如何，请确保在 similarity_score 中您有数字而不是 strings，如果它们实际上不是高精度浮点数，则您只显示第一个数字。

,

尝试使用：

m2m_similarity['analysis'] = m2m_similarity['similarity_score'].replace({
    0.1: 'slightly-similar',0.2: 'slightly-similar',0.3: 'slightly-similar',0.4: 'slightly-similar',0.5: 'similar',0.6: 'similar',0.7: 'similar',0.8: 'similar',0.9: 'similar',1.0: 'Exacly'
})