TypeError:尝试绘图时，列表索引必须是整数或切片，而不是str

Question

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from sklearn.cluster import AgglomerativeClustering
from sklearn.preprocessing import StandardScaler,normalize
from sklearn.metrics import silhouette_score
newdf = pd.read_csv("D:DATASETS/CC_GENERAL.csv")
x = newdf.drop('CUST_ID',axis = 1)
x.fillna(method = 'ffill',inplace = True)
scaler = StandardScaler()
x_scaled = scaler.fit_transform(x)
x_normalized = normalize(x_scaled)
#CONVERTING THE NUMPY ARRAY INTO A PANDAS DATAFRAME
x_normalized = pd.DataFrame(x_normalized)
#REDUCING THE DIMENTIONALITY OF THE DATA!
pca = PCA(n_components= 2)
x_principal = pca.fit_transform(x_normalized)
x_principal = pd.DataFrame(x_normalized)
x_principal = ['P1','P2']
ac2 = AgglomerativeClustering(n_clusters = 2)
plt.figure(figsize = (6,6))
plt.scatter(x_principal['P1'],x_principal['P2'])
c= ac2.fit_predict((x_principal),cmap = 'rainbow')
plt.show()

这是我的错误：

TypeError                                 Traceback (most recent call last)
<ipython-input-61-56f631c43c3e> in <module>
3 #visualizing the cluster
4 plt.figure(figsize = (6,6))
----> 5 plt.scatter(x_principal['P1'],x_principal['P2'])
6 c= ac2.fit_predict((x_principal),cmap = 'rainbow')
7 plt.show()
TypeError: list indices must be integers or slices, not str

Answer 1

如果您正在尝试更新x_principal的列名，很可能，您应该使用x_principal.columns = ['P1, 'P2']，现在您正在分配这些值，这将覆盖数据

Answer 2

x_principal是一个包含两个字符串P1和P2的列表。所以x_principal['P1']是错误的。不能使用元素本身为列表元素编制索引。