我在界面PYQT5中遇到以下错误
ValueError:系列的真值不明确。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')
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答案 0 :(得分:0)
我取出了pd.data帧并解决了问题。
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')