I am trying to extract a cell value from a dataframe, then why I always get a series instead of a value. For example: df_test=pd.DataFrame({'Well':['test1','test2','test3'],'Region':['east','west','east']}) df_test Well Region 0 test1 east 1 test2 west 2 test3 eas well="test2" region_thiswell=df_test.loc[df_test['Well']==well,'Region'] region_thiswell 1 west Name: Region, dtype: object I am expecting variable of region_thiswell is equal to

import os import zipfile import pandas as pd Function to find ZIP files with the relevant keywords (VTE, CLI, ART) def find_zip_files(month_folder_path): zip_files = {"vte": None, "cli": None, "art": None} List all files in the month folder for filename in os.listdir(month_folder_path): if "VTE" in filename and filename.endswith('.zip'): zip_files["vte"] = os.path.join(month_folder_path, filename) elif "CLI" in filename

I have a project using Hatch as a build system for pyproject. My pyproject.toml looks like this: [project] name = "demo" description = "Demo Project" version = "0.0.1" readme = "README.md" requires-python = ">=3.12" dependencies = [] [project.optional-dependencies] test = [ "pytest", "ipython", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool] [tool.hatch.envs.default] type =

I am trying to calculate maximum drawdown using closing price of a stock. STEP1: Imported the data and sliced that data in a new data frame df1 with date and closing price. df = pd.read_csv('BHEL.NS.csv') df['Date'] = pd.to_datetime(df['Date']) df1 = df[['Date', 'Close']] print(df1.head(n=15)) STEP2: Used the data to calculate rolling maxima (maxrollr) and calculate Drawdowns

I am working on solving a system of linear equations with multiple variables. The system is of the form Ax=b, where the matrix A is extremely ill-conditioned. I have been struggling to find a stable solution for this problem. I have tried several numerical approaches, including genetic algorithms and other optimization methods, but I have

I’m having trouble with GitHub Actions while trying to integrate with the Google Sheets API. I’m attempting to save my Google Sheets credentials as a credentials.json file from repository secrets, but the file that gets created is always empty. This results in an error in my Python script when I try to use the credentials

I have a mangum python service with a cdk stack that I can deploy on my local box just fine. Here are my: pyproject.toml [tool.poetry] name = "dics-core-data-service" version = "0.1.0" description = "" authors = ["Clayton <clayton.stetz@gmail.com>"] readme = "README.md" package-mode = false [tool.poetry.dependencies] python = "^3.12" fastapi = "^0.115.0" uvicorn = "^0.31.0" python-dotenv

I’m having trouble accessing the data attribute on a Response object in Django Rest Framework after refreshing the access token. factory = APIRequestFactory() new_request = factory.post( "/api/token/refresh/", {"refresh": refresh_token}, format="json", ) new_request.META["CONTENT_TYPE"] = "application/json" refresh_view = TokenRefreshView.as_view() refresh_response = refresh_view(new_request) print(type(refresh_response)) refresh_response.data["message"] = "Token refresh successful" When I run this code, the print statement correctly

I am working with OCT scans and I have 3d matrixes of data, the background has the value 0.0 and the rest is aligned in the middle. How my current data looks in 2d plotting This image is an example of what I currently have, with the following shape/format Tensor [25, 496, 512] How do

I’m trying to add a column to a PostgreSQL table with SQLAlchemy. I read on a couple threads that the simplest way to do this is to send plain SQL rather than modifying the Table object. My query is really basic: import sqlalchemy engine = create_engine("postgresql://user@host:port/db") query = sqlalchemy.text("alter table schema.table add column if not