我确定我在这里有一个小错误，我忽略了，但是很难弄清楚我需要改变什么。

这是我的代码，直到我遇到错误。

# 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()

我在 Azure 上运行它，现在正尝试在本地进行。这是我得到的错误：

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'

不知道我有什么问题。