As you already know Numpy is currently the best python module for array creation and manipulation. But something when using it, We done such silly mistakes in code that leads to NumPy ndarray object is not a callable error. Therefore I come with this article on all the general mistakes done by the programmers.
Numpy ndarray object is not callable error comes when you use try to call numpy as a function. Below are the examples where you can NumPy array as a function.
Mistake1: Error During Creation of Simple Array
NumPy ndarray error comes when you create an array and add () after the np.array() method. Look at the code below.
array = np.array([[1,2,3],[5,6,7],[7,8,9]])() array
Here I am adding () after the np.array([[1,2,3],[5,6,7],[7,8,9]]) method. Below is the error you will get if you execute this code.
The solution to this is to just remove the ‘()’ to remove this error. You will get the output as below.
Mistake 2: NumPy ndarray object is not callable error on read_csv
This mistake done by coders while using the pandas read_csv() method. For example I have a CSV data and wants to get some specific column values. Then I will use that column name inside the square bracket . But the coders use values() instead of values. And it leads to the error. Lets look at the below code.
data = pd.read_csv("cars.csv") data.head() mpg=data["mpg"].values() mpg
You will get the NumPy ndarray object error after executing the code.
To remove error you have change values() to values only. Below is the output after changing the code.
These are the common mistakes We have compiled for you. There are also other mistakes that lead to error like on confusion matrix, setting in ticks in matplotlib e.t.c. Just keep in mind this error comes when you use or call NumPy array as a function.
Hope you have found this tutorial interesting. If you have any queries regarding it then you can contact us.
Data Science Learner Team
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