Attributeerror nonetype object has no attribute copy

Attributeerror nonetype object has no attribute copy

Attributeerror nonetype object has no attribute copy error occurs when we invoke copy() function from any object which is NoneType in the place of some other expected python object type. Generally it happens when we expect any Python object like pandas dataframe, numpy etc. There are two ways to resolve this error. The first is preventive where we check the object type before using the copy() function and the other is control the mechanism. In the controlling mechanism, we use exceptional handling. Let’s first understand them using examples with code.

 

Attributeerror nonetype object has no attribute copy ( Solution ) –

The first approach is type-checking and then implementing. Let’s understand the same. Before that let’s replicate the issue.

Attributeerror nonetype object has no attribute copy replication
Attributeerror nonetype object has no attribute copy replication

Solution 1 : Object Type checking –

Let’s first understand an example first.

ini_obj=None
if(type(ini_obj)=='dict'):
  holder=ini_obj.copy()
else:
  print("Object is mismatch")

If we compare the above example with the root cause we see that if we can check the object type before we really invoke the function then very easily we can avoid this type of error. Here we can match the object type which we expect while implementing the logic. If we found correct type then we implement the further logic otherwise we will bypass with some other flow of
the code to avoid this copy() function.

 

Solution 2 : Exceptional Handling –

Somehow if are not sure how to prevent the unwanted object type in flow then we can use exceptional handing in python. This will for sure avoid unnecessary termination of the code and we will also able to tackle the situation with default flow which we can write in except case. Here is the implementation of try -except with respect to our attributeerror.

ini_obj=None
try:
  holder=ini_obj.copy()
except:
  print("Exception")

I hope now we are clear how to handle this type of errors.

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Meet Abhishek ( Chief Editor) , a data scientist with major expertise in NLP and Text Analytics. He has worked on various projects involving text data and have been able to achieve great results. He is currently manages Datasciencelearner.com, where he and his team share knowledge and help others learn more about data science.
 
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