dataframe’ object has no attribute ‘get_value’ ( Solved )

Dataframe allows you to manipulate any datasets by converting them into dataframe. You can add, remove, modify column values using the inbuilt function provided by panda’s library. The get_value() is one of them. If you are getting AttributeError: dataframe’ object has no attribute ‘get_value’ error then in this post you will learn how to solve this issue.

What does the get_value() function do?

Pandas provide a get_value() function that allows you to get the value of a specific column at a specific index. For example, if you have dataframe with 100 records and want to get the value of column 3 at index 10 then you will use the _get_value(10, “column3).

What cause AttributeError: dataframe’ object has no attribute ‘get_value’?

The root cause for getting this error is that you are using the get_value() function in the wrong way. Most of the developers use it using the get_value() function.

You will get the dataframe’ object has no attribute ‘get_value’ error when you will run the below lines of code.

import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'col1': list('pqrstuv'), 'col2': np.random.choice(10, 7),
                   'col3':["01-01-2022","02-01-2022","03-01-2022","04-01-2022",
                           "05-01-2022","06-01-2022","07-01-2022"]})

df.get_value(1,"col1")

Output

Here I want to get the value of col3 at index 1 but the python interpreter is showing AttributeError. In the next section, you will learn how to solve this error.

Solve dataframe’ object has no attribute ‘get_value’

Solving this AttributeError is very simple. You have to use the function properly. You can see in the above code you are using the df.get_value() method. But you don’t have to use it. Instead, you have to use _get_value(). Just put an underscore in the prefix of the get_value() function.

Now you will not get the error when you will run the below lines of code.

import numpy as np
import pandas as pd
np.random.seed(0)
df = pd.DataFrame({'col1': list('pqrstuv'), 'col2': np.random.choice(10, 7),
                   'col3':["01-01-2022","02-01-2022","03-01-2022","04-01-2022",
                           "05-01-2022","06-01-2022","07-01-2022"]})

df._get_value(1,"col1")

Output

Conclusion

The DataFrame. _get_value() function returns the value of the specific column at a particular index. If you are getting the get_value() AttributeError then the above methods will solve it.

I hope you have liked this tutorial. If you are still getting this error and have any suggestions then you can contact us for more help.