These data types are used to store values with different attributes. #An integer Number=123 Number[1]#trying to get its element on its first subscript Das Ausführen des obigen Codes führt zu einem Fehler, da eine Ganzzahl nicht mehrere Werte hat. attributeerror: 'tensorslicedataset' object has no attribute 'shape The “typeerror: ‘float’ object is not subscriptable” is commonly caused by: Python typeerror: ‘float’ object is not subscriptable | CK Guide What are Subscriptable Objects in Python? #An integer Number=123 Number[1]#trying to get its element on its first subscript Running the code above will result in an error since an integer does not have multiple values. However, when I reached the section discussing how the dataset will be prepared into a tensor flow dataset, I encountered an error. To create a dictionary, ensure you put a colon between the key and value in each pair and separate each pair with a comma. When running the train() method, I get the following error: TypeError: 'TensorSliceDataset' object is not subscriptable. The objects that contain other objects or data types, like strings, lists, tuples, and dictionaries, are subscriptable. Python TypeError: ‘NoneType’ object is not subscriptable How to Solve Python TypeError: ‘int’ object is not subscriptable Subscribe to our mailing list and get interesting stuff and updates to your email inbox. Reproduction instructions randt = tf.random.uniform ( [2000, 80, 5]) dataset = tf.data.Dataset.from_tensor_slices (randt) dataset.batch (20) iter = dataset.make_one_shot_iterator () Link to logs AttributeError: 'TensorSliceDataset' object has no attribute 'make_one_shot_iterator' jackshi0912 closed this as completed on Jun 13, 2019 Returns the symbolic handle of the tensor. Python supports a range of data types. For example, lists, dictionaries, tuples are all subscriptable objects. For instance, take a look at the following code. What does it mean if a Python object is "subscriptable" or …