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Validation error while inputting a record into Postgres

I have created a table using the following query, Following is my models.py Following is my schema.py I use the following code to create an user, The problem is that I’m getting the following error, raise ValidationError(errors, field.type_) pydantic.error_wrappers.ValidationError: 1 validation error for AccountsInfo response -> created_on str type expected (type=type_error.str) what am I missing? Answer raise ValidationError(errors, field.type_) pydantic.error_wrappers.ValidationError:

Pandas: Apply rolling window on complex function (Hurst Exponent)

In a nutshell: I need to calculate the Hurst Exponent (HE) across a rolling window inside a pandas dataframe and assign the values to its own column. The HE function I use was lifted from here as it seemed more robust. For convenience it’s posted below: Now in order to test the function let’s grab some TSLA data from Yahoo

Tkinter output to GUI textbox

new to GUI creation with python, I have the following code, how can I make the print command appear on the GUI not the command line? I’m wanting to show the print in the GUI as a text box or some kind of output window so the process can be shown. Answer You can add a label for output underneath

tensorflow: InvalidArgumentError while find the AUC score

I have a dataset with labels 0’s and 1’s, which is binary classification problem. Getting error while try to find AUC score using tf.keras.metrics.AUC() as metrics in model.compile(.. function. Code: If I removed AUC from metrics, the code runs fine. Error: InvalidArgumentError: assertion failed: [predictions must be >= 0] [Condition x >= y did not hold element-wise:] [x (sequential_48/dense_293/BiasAdd:0) =

Pandas : DataFrame columns are not unique when making dictionary

I have a dataframe like this: Name Alt_01 Alt_02 AAPL Apple apple Inc. AMZN Amazon NaN in order to check if string contains alt names, I build code like: Since not all the names have same amount of alternative names, I put dropna() function to remove NaN values. But after I do this, I receive message like: UserWarning: DataFrame columns

How to use JOIN and SELECT AS together in SQLAlchemy?

I have the two following tables. Users Table id name email 32 Hello e@mail.com 23 World p@mail.com Sales Table id SellerId CustomerId Amount 4 32 23 25 I want to join the tables in the following way to get this result. Here I want to only get the entries where customer id is equal to 23. Id SellerId SellerName SellerEmail

Python between syntax (IF statement)

I am currently working on creating python automation tool based on excel file and basic idea of this project is allocation data into specific people automatically. However, I faced a small problem which is to make a condition for right allocation. Data for conditions in Excel: Description : I’d like to allocate data based on above of the longitude min

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