I am trying to create a mapping where there are duplicates in certain columns in a dataframe. Here are two examples of dataframes I am working with: Here is what I need; 3 conditional python logic that does: when we see the first issue_status of 100 and trading_state of None, map F in the reason column. when we see the
Remove element in list with bool flag with List Comprehension
Wondering if there would be a neat way to use List Comprehension to accomplish removing an element from a list based on a bool. example expected output I know I could so something like: But wondering if I could use a bool flag to do this instead of a string as I only want to to run if the bool
How to scrape reviews from chrome web store for a given extension?
I am trying to use this python code to scrape chrome web store however, I am getting Bad request 400. Is it even possible to scrape chrome web store? Answer The webpage’s contents are loaded by JavaScript. So you have to apply an automation tool something like Selenium to grab the right data. Example: Oputput:
How to convert time stamp in Python from dd/mm/yy hh:mm:ss:msmsms to yyyy-mm-dd hh:mm:ss:msmsmsmsmsms
I have created an automated data client that pulls data from a txt file and inputs it into a csv file. Each data entry contains a timestamp, but it is not in the format I need it in, I need it to match the datetime.now() format: ORIGINAL FORMAT [03/11/22 01:06:09:190] DESIRED FORMAT 2022-11-03 01:06:09.190000 I am currently using the following
How to setup ffmpeg in docker container
I want to compress the video from project directory using ffmpeg in python the video is saved from cv2.VideoCapture(rtsp_url) Normally it run without problem in my local machine, but when I dockerize my app it seems docker container can’t recognize ffmpeg or I missed something. It throws exception This is how I docker my python app. Answer To debug your
Creating sets of specific extracted values from a .txt file (Python)
I have a .txt file that says “NAMES,” “POINTS” and “SUMMARY” in capital letters, each followed by lines containing data. Each of these three groups is separated by an empty line: My goal is to create three separate sets of names, points and summary. I already created a set of names using the following code (which outputs a set of
Python + pdfkit: Generate stream with pdfkit
I’m trying to use pdfkit to turn html pages into PDFs, and then return a stream of that PDF as this code is a Flask API called by a webpage. As far as I can tell, when you use pdfkit.from_file, you have provide both an input and output path: The problem is, I don’t want to write these files to
How can I add to a dataframe count values of another?
I have a problem that I would like to solve with a dataframe. The index of this table represents a cluster. I have a dataframe called “representative points” that has this structure: On the other hand I have a dataset containing a point with the cluster it belongs to. In this case the index does not mean anything important. the
Django rest_framework : count objects and return value to serializer
i need to count all supporters in model and return value to serializer models.py serializers.py views.py Answer About your serializer file, beware of indentation, here is an example. As for counting objects, i believe you are looking for something like this: As specified in the queryset documentation. It is also possible to use the asynchronous version since Django version 4.1:
Pandas: filter on grouped and aggregated dataframe
I have a dataframe which is based on a read-in excel list. The data has multiple columns and rows with one unique identifier. I want to plot the data through a PyQT interface based on some user selection (checkboxes), but I cannot select one unique row for plotting. The data looks like this: After I get this: I can use