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'DataFrame' object has no attribute 'to_dataframe'
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$begingroup$
I'm sure I have a small error here that I'm overlooking, but am having a tough time figuring out what I need to change.
Here is my code up until the error I'm getting.
# Load libraries
import pandas as pd
import numpy as np
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
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.neighbors import KNeighborsClassifier
from sklearn.discriminant_analyisis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
# Load dataset
names = ['action','reject','approve','occ','loanamt', 'suffolk', 'appinc','typur','unit','married','dep','emp',yjob','self','atotinc','cototinc','hexp']
# from azureml import Workspace
# ws = Workspace(
# workspace_id='',
# authorization_token='==',
# endpoint='https://studioapi.azureml.net'
# )
# ds = ws.datasets['loanapp_c.csv']
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
dataset = ds.to_dataframe()
I was running this on Azure and am now trying to do it locally. Here is the error I'm getting:
AttributeError Traceback (most recent call last)
<ipython-input-3-b49a23658806> in <module>()
32
33 ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
---> 34 dataset = ds.to_dataframe()
35
36 # shape
~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in_getattr_(self, name)
4374 if self._info_axis.can_hold_identifiers_and_holds_name(name):
return self[name]
-> 4376 return object._getattribute_(self,name)
4377
4378 def _setattr_(self, name, value):
AttributeError: 'DataFrame' object has no attribute 'to_dataframe'
Not sure what I have wrong.
dataframe
New contributor
$endgroup$
add a comment |
$begingroup$
I'm sure I have a small error here that I'm overlooking, but am having a tough time figuring out what I need to change.
Here is my code up until the error I'm getting.
# Load libraries
import pandas as pd
import numpy as np
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
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.neighbors import KNeighborsClassifier
from sklearn.discriminant_analyisis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
# Load dataset
names = ['action','reject','approve','occ','loanamt', 'suffolk', 'appinc','typur','unit','married','dep','emp',yjob','self','atotinc','cototinc','hexp']
# from azureml import Workspace
# ws = Workspace(
# workspace_id='',
# authorization_token='==',
# endpoint='https://studioapi.azureml.net'
# )
# ds = ws.datasets['loanapp_c.csv']
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
dataset = ds.to_dataframe()
I was running this on Azure and am now trying to do it locally. Here is the error I'm getting:
AttributeError Traceback (most recent call last)
<ipython-input-3-b49a23658806> in <module>()
32
33 ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
---> 34 dataset = ds.to_dataframe()
35
36 # shape
~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in_getattr_(self, name)
4374 if self._info_axis.can_hold_identifiers_and_holds_name(name):
return self[name]
-> 4376 return object._getattribute_(self,name)
4377
4378 def _setattr_(self, name, value):
AttributeError: 'DataFrame' object has no attribute 'to_dataframe'
Not sure what I have wrong.
dataframe
New contributor
$endgroup$
add a comment |
$begingroup$
I'm sure I have a small error here that I'm overlooking, but am having a tough time figuring out what I need to change.
Here is my code up until the error I'm getting.
# Load libraries
import pandas as pd
import numpy as np
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
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.neighbors import KNeighborsClassifier
from sklearn.discriminant_analyisis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
# Load dataset
names = ['action','reject','approve','occ','loanamt', 'suffolk', 'appinc','typur','unit','married','dep','emp',yjob','self','atotinc','cototinc','hexp']
# from azureml import Workspace
# ws = Workspace(
# workspace_id='',
# authorization_token='==',
# endpoint='https://studioapi.azureml.net'
# )
# ds = ws.datasets['loanapp_c.csv']
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
dataset = ds.to_dataframe()
I was running this on Azure and am now trying to do it locally. Here is the error I'm getting:
AttributeError Traceback (most recent call last)
<ipython-input-3-b49a23658806> in <module>()
32
33 ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
---> 34 dataset = ds.to_dataframe()
35
36 # shape
~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in_getattr_(self, name)
4374 if self._info_axis.can_hold_identifiers_and_holds_name(name):
return self[name]
-> 4376 return object._getattribute_(self,name)
4377
4378 def _setattr_(self, name, value):
AttributeError: 'DataFrame' object has no attribute 'to_dataframe'
Not sure what I have wrong.
dataframe
New contributor
$endgroup$
I'm sure I have a small error here that I'm overlooking, but am having a tough time figuring out what I need to change.
Here is my code up until the error I'm getting.
# Load libraries
import pandas as pd
import numpy as np
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
from sklearn import model_selection
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.neighbors import KNeighborsClassifier
from sklearn.discriminant_analyisis import LinearDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
# Load dataset
names = ['action','reject','approve','occ','loanamt', 'suffolk', 'appinc','typur','unit','married','dep','emp',yjob','self','atotinc','cototinc','hexp']
# from azureml import Workspace
# ws = Workspace(
# workspace_id='',
# authorization_token='==',
# endpoint='https://studioapi.azureml.net'
# )
# ds = ws.datasets['loanapp_c.csv']
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
dataset = ds.to_dataframe()
I was running this on Azure and am now trying to do it locally. Here is the error I'm getting:
AttributeError Traceback (most recent call last)
<ipython-input-3-b49a23658806> in <module>()
32
33 ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
---> 34 dataset = ds.to_dataframe()
35
36 # shape
~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py in_getattr_(self, name)
4374 if self._info_axis.can_hold_identifiers_and_holds_name(name):
return self[name]
-> 4376 return object._getattribute_(self,name)
4377
4378 def _setattr_(self, name, value):
AttributeError: 'DataFrame' object has no attribute 'to_dataframe'
Not sure what I have wrong.
dataframe
dataframe
New contributor
New contributor
New contributor
asked 1 hour ago
user68346user68346
31
31
New contributor
New contributor
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
The function pd.read_csv()
is already a DataFrame and thus that kind of object does not support calling .to_dataframe()
.
You can check the type of your variable ds
using print(type(ds))
, you will see that it is a pandas DataFrame type.
$endgroup$
add a comment |
$begingroup$
According to what I understand. You are loading loanapp_c.csv
in ds
using this code:
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
ds
over here is a DataFrame object. What you are doing is calling to_dataframe
on an object which a DataFrame already.
Removing this dataset = ds.to_dataframe()
from your code should solve the error
New contributor
$endgroup$
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
The function pd.read_csv()
is already a DataFrame and thus that kind of object does not support calling .to_dataframe()
.
You can check the type of your variable ds
using print(type(ds))
, you will see that it is a pandas DataFrame type.
$endgroup$
add a comment |
$begingroup$
The function pd.read_csv()
is already a DataFrame and thus that kind of object does not support calling .to_dataframe()
.
You can check the type of your variable ds
using print(type(ds))
, you will see that it is a pandas DataFrame type.
$endgroup$
add a comment |
$begingroup$
The function pd.read_csv()
is already a DataFrame and thus that kind of object does not support calling .to_dataframe()
.
You can check the type of your variable ds
using print(type(ds))
, you will see that it is a pandas DataFrame type.
$endgroup$
The function pd.read_csv()
is already a DataFrame and thus that kind of object does not support calling .to_dataframe()
.
You can check the type of your variable ds
using print(type(ds))
, you will see that it is a pandas DataFrame type.
answered 1 hour ago
JahKnowsJahKnows
4,772525
4,772525
add a comment |
add a comment |
$begingroup$
According to what I understand. You are loading loanapp_c.csv
in ds
using this code:
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
ds
over here is a DataFrame object. What you are doing is calling to_dataframe
on an object which a DataFrame already.
Removing this dataset = ds.to_dataframe()
from your code should solve the error
New contributor
$endgroup$
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
add a comment |
$begingroup$
According to what I understand. You are loading loanapp_c.csv
in ds
using this code:
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
ds
over here is a DataFrame object. What you are doing is calling to_dataframe
on an object which a DataFrame already.
Removing this dataset = ds.to_dataframe()
from your code should solve the error
New contributor
$endgroup$
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
add a comment |
$begingroup$
According to what I understand. You are loading loanapp_c.csv
in ds
using this code:
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
ds
over here is a DataFrame object. What you are doing is calling to_dataframe
on an object which a DataFrame already.
Removing this dataset = ds.to_dataframe()
from your code should solve the error
New contributor
$endgroup$
According to what I understand. You are loading loanapp_c.csv
in ds
using this code:
ds = pd.read_csv('desktop/python ML/loanapp_c.csv')
ds
over here is a DataFrame object. What you are doing is calling to_dataframe
on an object which a DataFrame already.
Removing this dataset = ds.to_dataframe()
from your code should solve the error
New contributor
New contributor
answered 1 hour ago
Dhaval ThakkarDhaval Thakkar
135
135
New contributor
New contributor
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
add a comment |
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
$begingroup$
I just set dataset = ds and that fixed it. Thanks for your help!
$endgroup$
– user68346
56 mins ago
add a comment |
user68346 is a new contributor. Be nice, and check out our Code of Conduct.
user68346 is a new contributor. Be nice, and check out our Code of Conduct.
user68346 is a new contributor. Be nice, and check out our Code of Conduct.
user68346 is a new contributor. Be nice, and check out our Code of Conduct.
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