from pandas import read_csv
from matplotlib import pyplot
from pandas.plotting import scatter_matrix
from sklearn.model_selection import train_test_split
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
names=['age','sex','weight','BMI','RAD','RAS','scr','MAP','bleeding','OT','rbc','plasma','platelet','autoblood','UV','RACT','LOC','ARISe']
dataset=read_csv(r'C:\Users\Administrator\Desktop\ARI.csv', names=names)
print(dataset.describe())
dataset.hist(sharex=False,sharey=False,Xlabelsize=1,Ylabelsize=1)
pyplot.show()
print(dataset.groupby('ARISe').size())
scatter_matrix(dataset)
pyplot.show()
#分离数据集
array=dataset.values
X=array[:,0:17]
Y=array[:, 17]
test_size=0.2
seed=7
X_train, X_test, Y_train, Y_test=
train_test_split(X, Y, test_size=test_size,random_state=seed)
报错:AttributeError: 'Rectangle' object has no property 'xlabelsize'
为什么呢