Python因子分析

前提・実現したいこと

Pythonで因子分析がしたいと思い、FactorAnalyzerのパッケージを使ってやろうとしたところ以下のようなエラーが出ました。

発生している問題・エラーメッセージ

AttributeError: 'FactorAnalyzer' object has no attribute 'loadings'

該当のソースコード

Python
1# -*- coding: utf-8 -*-
2import math
3import numpy as np
4import pandas as pd
5import matplotlib.pyplot as plt
6%matplotlib inline
7from sklearn.preprocessing import scale
8from factor_analyzer import FactorAnalyzer
9from sklearn.decomposition import FactorAnalysis
10
11hobby = ['映画', 'スポーツ', '読書', '料理', '音楽']
12like_a = np.array([
13  [42, 49, 42, 35, 48], [35, 48, 45, 52, 46], [44, 52, 49, 38, 52],
14  [42, 52, 43, 49, 46], [34, 47, 45, 46, 48], [43, 52, 46, 36, 48],
15  [41, 39, 42, 39, 43], [62, 59, 59, 48, 54], [46, 44, 47, 39, 37],
16  [77, 61, 48, 48, 67], [49, 55, 57, 48, 53], [48, 44, 42, 46, 60],
17  [40, 38, 45, 49, 34], [36, 36, 44, 47, 47], [54, 50, 50, 45, 46],
18  [52, 47, 61, 66, 46], [40, 52, 36, 47, 46], [63, 28, 35, 42, 48],
19  [44, 33, 49, 20, 29], [46, 59, 50, 53, 57], [51, 41, 60, 59, 63],
20  [45, 39, 48, 46, 45], [34, 39, 43, 50, 40], [34, 29, 45, 44, 48],
21  [57, 46, 54, 46, 42], [38, 42, 41, 36, 41], [43, 47, 41, 53, 44],
22  [45, 51, 53, 46, 53], [49, 56, 54, 61, 51], [35, 38, 57, 65, 57]
23])
24like_in = pd.DataFrame(like_a, columns=like)
25like = pd.DataFrame(scale(like_in), columns=like_in.columns.values)
26
27fa = FactorAnalyzer()
28
29fa.analyze(like, 2, rotation="promax") 
30
31print('相関行列\n', like.corr(method='pearson'))
32print()
33print('因子負荷量', fa.loadings.round(4))
34print()
35print('独自性', fa.get_uniqueness().round(4))
36print()
37print('因子分散', fa.get_factor_variance().round(4))
38print()