Key Error despite code previously working
predictors = ['gender','SeniorCitizen','Partner', 'Dependents','tenure','PhoneService',
'MultipleLines','InternetService','OnlineSecurity','OnlineBackup','DeviceProtection',
'TechSupport','StreamingTV','StreamingMovies','Contract','PaperlessBilling',
'PaymentMethod','MonthlyCharges','TotalCharges']
This line of code is from a project I have to do for a school assignment to create a decision tree. I copied and pasted the line from a different project, changing only the variable names, so it should have worked. I've already double checked the variable names in the code against the data file I'm using. But for some reason I'm getting this error:
KeyError: "['gender' 'Partner' 'Dependents' 'PhoneService' 'MultipleLines'n 'InternetService' 'OnlineSecurity' 'OnlineBackup' 'DeviceProtection'n 'TechSupport' 'StreamingTV' 'StreamingMovies' 'Contract'n 'PaperlessBilling' 'PaymentMethod'] not in index"
I know the data is in the .csv file that I'm using, and I know it worked earlier in the same code in the k-nearest-neighbor method.
EDIT: Here is the line Python doesn't like:
dt.fit(training[predictors],training['Churn'])
And here is the definition of dt:
dt = tree.DecisionTreeClassifier(criterion='entropy')
EDIT 2: Here is a list of all the dummy variables in this list
data = pandas.get_dummies(data, columns=['gender','SeniorCitizen','Partner','Dependents','PhoneService','MultipleLines', 'InternetService',
'OnlineSecurity','OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod'])
python keyerror
asked Nov 27 '18 at 1:30
JoeJoe
35
add a comment |
predictors = ['gender','SeniorCitizen','Partner', 'Dependents','tenure','PhoneService',
'MultipleLines','InternetService','OnlineSecurity','OnlineBackup','DeviceProtection',
'TechSupport','StreamingTV','StreamingMovies','Contract','PaperlessBilling',
'PaymentMethod','MonthlyCharges','TotalCharges']
This line of code is from a project I have to do for a school assignment to create a decision tree. I copied and pasted the line from a different project, changing only the variable names, so it should have worked. I've already double checked the variable names in the code against the data file I'm using. But for some reason I'm getting this error:
KeyError: "['gender' 'Partner' 'Dependents' 'PhoneService' 'MultipleLines'n 'InternetService' 'OnlineSecurity' 'OnlineBackup' 'DeviceProtection'n 'TechSupport' 'StreamingTV' 'StreamingMovies' 'Contract'n 'PaperlessBilling' 'PaymentMethod'] not in index"
I know the data is in the .csv file that I'm using, and I know it worked earlier in the same code in the k-nearest-neighbor method.
EDIT: Here is the line Python doesn't like:
dt.fit(training[predictors],training['Churn'])
And here is the definition of dt:
dt = tree.DecisionTreeClassifier(criterion='entropy')
EDIT 2: Here is a list of all the dummy variables in this list
data = pandas.get_dummies(data, columns=['gender','SeniorCitizen','Partner','Dependents','PhoneService','MultipleLines', 'InternetService',
'OnlineSecurity','OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod'])
python keyerror
asked Nov 27 '18 at 1:30
JoeJoe
35
1
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
1
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08
add a comment |
predictors = ['gender','SeniorCitizen','Partner', 'Dependents','tenure','PhoneService',
'MultipleLines','InternetService','OnlineSecurity','OnlineBackup','DeviceProtection',
'TechSupport','StreamingTV','StreamingMovies','Contract','PaperlessBilling',
'PaymentMethod','MonthlyCharges','TotalCharges']
This line of code is from a project I have to do for a school assignment to create a decision tree. I copied and pasted the line from a different project, changing only the variable names, so it should have worked. I've already double checked the variable names in the code against the data file I'm using. But for some reason I'm getting this error:
KeyError: "['gender' 'Partner' 'Dependents' 'PhoneService' 'MultipleLines'n 'InternetService' 'OnlineSecurity' 'OnlineBackup' 'DeviceProtection'n 'TechSupport' 'StreamingTV' 'StreamingMovies' 'Contract'n 'PaperlessBilling' 'PaymentMethod'] not in index"
I know the data is in the .csv file that I'm using, and I know it worked earlier in the same code in the k-nearest-neighbor method.
EDIT: Here is the line Python doesn't like:
dt.fit(training[predictors],training['Churn'])
And here is the definition of dt:
dt = tree.DecisionTreeClassifier(criterion='entropy')
EDIT 2: Here is a list of all the dummy variables in this list
data = pandas.get_dummies(data, columns=['gender','SeniorCitizen','Partner','Dependents','PhoneService','MultipleLines', 'InternetService',
'OnlineSecurity','OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod'])
python keyerror
asked Nov 27 '18 at 1:30
JoeJoe
35
predictors = ['gender','SeniorCitizen','Partner', 'Dependents','tenure','PhoneService',
'MultipleLines','InternetService','OnlineSecurity','OnlineBackup','DeviceProtection',
'TechSupport','StreamingTV','StreamingMovies','Contract','PaperlessBilling',
'PaymentMethod','MonthlyCharges','TotalCharges']
This line of code is from a project I have to do for a school assignment to create a decision tree. I copied and pasted the line from a different project, changing only the variable names, so it should have worked. I've already double checked the variable names in the code against the data file I'm using. But for some reason I'm getting this error:
KeyError: "['gender' 'Partner' 'Dependents' 'PhoneService' 'MultipleLines'n 'InternetService' 'OnlineSecurity' 'OnlineBackup' 'DeviceProtection'n 'TechSupport' 'StreamingTV' 'StreamingMovies' 'Contract'n 'PaperlessBilling' 'PaymentMethod'] not in index"
I know the data is in the .csv file that I'm using, and I know it worked earlier in the same code in the k-nearest-neighbor method.
EDIT: Here is the line Python doesn't like:
dt.fit(training[predictors],training['Churn'])
And here is the definition of dt:
dt = tree.DecisionTreeClassifier(criterion='entropy')
EDIT 2: Here is a list of all the dummy variables in this list
data = pandas.get_dummies(data, columns=['gender','SeniorCitizen','Partner','Dependents','PhoneService','MultipleLines', 'InternetService',
'OnlineSecurity','OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV',
'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod'])
python keyerror
python keyerror
asked Nov 27 '18 at 1:30
JoeJoe
35
asked Nov 27 '18 at 1:30
JoeJoe
35
edited Nov 27 '18 at 16:41
Joe
asked Nov 27 '18 at 1:30
JoeJoe
35
asked Nov 27 '18 at 1:30
JoeJoe
35
asked Nov 27 '18 at 1:30
JoeJoe
35
35
1
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
1
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08
add a comment |
1
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
1
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08
1
1
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
1
1
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08
add a comment |
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1
no error here for the assignment to predictors. share more or even the whole program?
– Gang Yin
Nov 27 '18 at 1:33
Sure. What do you need to know?
– Joe
Nov 27 '18 at 1:58
1
Since predictors is a list of string and 'Churn' is a string, I think the problem might arise because you are using both to index the training (I guess it can only be indexed by string).
– Gang Yin
Nov 27 '18 at 8:37
Predictors is a list of some dummies, some floats, and some strings. Can you help me fix it?
– Joe
Nov 28 '18 at 17:08