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我有一个数据帧，我试图实现功能选择。

有45列类型，整数，浮点数和对象。

但是自从抛出错误以来，我无法适应任何特征选择模型。请帮助我

数据框：

member_id loan_amnt funded_amnt funded_amnt_inv term batch_enrolled int_rate grade

58189336 14350 14350 14350 36 months 19.19 E

70011223 4800 4800 4800 36 months BAT1586599 10.99 B

sub_grade emp_title emp_length home_ownership annual_inc verification_status pymnt_plan desc purpose title zip_code addr_state dti

E3 clerk 9 years OWN 28700 Source Verified n debt_consolidation Debt consolidation 349xx FL 33.88

B4 HR < 1 year MORTGAGE 65000 Source Verified n home_improvement Home improvement 209xx MD 3.64

last_week_pay loan_status

44th week 0

9th week 1码：

import numpy

from pandas import read_csv

from sklearn.decomposition import PCA

# load data

df = pd.read_csv("C:/Users/anagha/Documents/Python Scripts/train_indessa.csv")

array = df.values

X = array[:,0:44]

Y = array[:,44]

# feature extraction

pca = PCA(n_components=3)

fit = pca.fit(X)错误：

Traceback (most recent call last):

File "", line 2, in

fit = pca.fit(X)

File "C:\Users\anagha\Anaconda3\lib\site- packages\sklearn\decomposition\pca.py", line 301, in fit

self._fit(X)

File "C:\Users\anagha\Anaconda3\lib\site-packages\sklearn\decomposition\pca.py", line 333, in _fit

copy=self.copy)

File "C:\Users\anagha\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 382, in check_array

array = np.array(array, dtype=dtype, order=order, copy=copy)

ValueError: could not convert string to float: '44th week'