Skip to content
Advertisement

Tag: typeerror

How to use applymap lambda with two conditions

I’d like to find duplicated rows in a Pandas dataframe. When I use df.duplicated() it returns the following error: TypeError: unhashable type: ‘list’ To resolve this error, I tried the following: However, I receive a new but similar error: “TypeError: unhashable type: ‘dict'” Does anyone know how I can use applymap lambda with two conditions? (the conditions are if isinstance(x,

Initialising Model in Python’s statsmodels

I am having difficulties understanding how to initialise an empty as well as as a known initial config model in statsmodels, here imported as I get the following error: I have has similar experiences with the method: On the User Guide, it does not give any inputs to this method so I do not know the syntax needed to initialise

TypeError at /api/questions/ ‘list’ object is not callable

When I go to this http://127.0.0.1:8000/api/questions/ I get TypeError at /api/questions/ ‘list’ object is not callable urls.py (in project) urls.py (in appName1/api views.py (in appName1/api) Only showing QuestionViewSet From the settings.py Error could come from somewhere else. I don’t know where I can find “list”. appName1 = questions Exception Location: lib/python3.9/site-packages/rest_framework/generics.py, line 162, in paginator Answer The DEFAULT_PAGINATION_CLASS setting should

TypeError: Input ‘y’ of ‘Mul’ Op has type float32 that does not match type int64 of argument ‘x’

after this code i am getting the error in categoricalfocalloss i m not getting whereint64 error is coming model description here in this code , in the loss categoricalfocal loss is used here in the model i used categorical focal loss when i run this ,in train dataset i am not getting how tcovert itintointoint64 error is got is mentioned

TypeError: Expected binary or unicode string, got 618.0

I’ve been trying to implement this ML Linear Model into my dataset. (https://www.tensorflow.org/tutorials/estimator/linear) Language: Python 3.8.3 LÄ°braries: TensorFlow 2.4.0 Numpy: 1.19.3 Pandas Matplotliband the others: ss1517 is the name of my dataset. It is a CSV file with 4116 rows and 20 columns and has lots of NaN values( There is no column that hasn’t NaN value) CATEGORICAL_COLUMNS are the

Advertisement