小编Prz*_*bek的帖子

我有点困惑，我想使用 texthero 库进行一些 PCA 分析。但是当我尝试运行我的代码时：

import texthero as hero
import pandas as pd


df['pca']=(df['clean_tweet'].pipe(hero.clean).pipe(hero.do_tfidf).pipe(hero.do_pca))
hero.scatterplot(df, col='pca', color='topic', title="PCA BBC Sport news")

我收到错误：

ModuleNotFoundError: No module named 'gensim.sklearn_api

但是当我输入 !pip 显示 gensim 时。我有

Name: gensim
Version: 4.0.1
Summary: Python framework for fast Vector Space Modelling
Home-page: http://radimrehurek.com/gensim

我有问题想问你。哪个图最适合显示系列熊猫中的描述结果

filter = genderage['Customer_Gender'] == "F"
genderage[filter]
genderage[filter].describe()

    Customer_Age
count   54724.000000
mean    36.168993
std 10.910622
min 17.000000
25% 28.000000
50% 35.000000
75% 43.000000
max 87.000000