错误:序列的真值不明确.使用 a.empty、a.bool()、a.item()、a.any() 或 a.all()

Question

>我在界面 PYQT5 中遇到以下错误

值错误：序列的真值不明确。使用 a.empty、a.bool((、a.item((、a.any(( 或 a.all((。

出现错误的代码是

x = data.drop('DrainStatnumout',axis='columns')
y = data['DrainStatnumout']
data.Failuer = data.Failuer.astype(int)
#xx = data.drop(['Assembly1_Availability','Assembly2_Availability',
#'LaserCutting_Availability','Failuer','DrainStatnumout'],axis='columns')
#print(xx)
X=pd.DataFrame(x)
Y=pd.DataFrame(y)
X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.20)

plt.figure()
ax1 = sns.distplot(Y_predict)
ax2 = sns.distplot(Y_test)
plt.axvline(np.mean(Y_predict), color='b', linestyle='dashed', linewidth=5)
plt.axvline(np.mean(Y_test), color='orange', linestyle='dashed', linewidth=5)
#plt.savefig('dist1.png',dpi=200,orientation='portrait')
plt.savefig('DecisionTreeClassifier2.png')

ValueError                                Traceback (most recent call last)
<ipython-input-1-e0a00ff7678b> in pushButton_2_handler(self)
588         ax2 = sns.distplot(Y_test)
589         plt.axvline(np.mean(Y_predict), color='b', linestyle='dashed', linewidth=5)
--> 590         plt.axvline(np.mean(Y_test), color='orange', linestyle='dashed', linewidth=5)
591         #plt.savefig('dist1.png',dpi=200,orientation='portrait')
592         plt.savefig('DecisionTreeClassifier2.png')

赞赏任何输入

Answer 1

我已经把pd.data frame拿出来了，问题解决了。

X = data.drop('DrainStatnumout',axis='columns')
Y = data['DrainStatnumout']
data.Failuer = data.Failuer.astype(int)


X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.20)

plt.figure()
ax1 = sns.distplot(Y_predict)
ax2 = sns.distplot(Y_test)
plt.axvline(np.mean(Y_predict), color='b', linestyle='dashed', linewidth=5)
plt.axvline(np.mean(Y_test), color='orange', linestyle='dashed', linewidth=5)
#plt.savefig('dist1.png',dpi=200,orientation='portrait')
plt.savefig('DecisionTreeClassifier2.png')