How to build relevant auto generating tags recommendation model in python

Advertisements How to Build a Relevant Auto Generating Tags Recommendation Model in Python One of the most important features of any blog or website is its ability to recommend relevant tags to users. This not only helps users find related content easily, but it also improves the overall user experience. In this blog post, we’ll… Read More How to build relevant auto generating tags recommendation model in python

Run code in a frame from one site to another with JavaScript

Advertisements I have Site A and Site B. Site B is hosted on Site A in a frame. I can communicate between sites using this code: Code on site A: const frame = document.getElementById(‘frame’); frame.contentWindow.postMessage(‘Hello’, ‘https://www.test.com’); Code on site B: window.addEventListener(‘message’, event => { console.log(event.data); }); This code is intended to forward the message. Can… Read More Run code in a frame from one site to another with JavaScript

Run code in a frame from one site to another with JavaScript

Advertisements I have Site A and Site B. Site B is hosted on Site A in a frame. I can communicate between sites using this code: Code on site A: const frame = document.getElementById(‘frame’); frame.contentWindow.postMessage(‘Hello’, ‘https://www.test.com’); Code on site B: window.addEventListener(‘message’, event => { console.log(event.data); }); This code is intended to forward the message. Can… Read More Run code in a frame from one site to another with JavaScript

Python: Filling a dataframe sequentially based on matching ids (inefficient code)

Advertisements Tables and code at the bottom will probs help much more than description. I have a solution that works but think its very inefficient see bottom. Problem: I have two data frames df_1 and df_2 — these dataframes have a match column – match_id df_2 has a date column that I am trying to… Read More Python: Filling a dataframe sequentially based on matching ids (inefficient code)

solving nested renamer is not supported with dynamic arguments

Advertisements if cat_vars: df["static_cat"] = ( df.groupby("group_col") .agg({i: "first" for i in cat_vars}) .values.tolist() ) Error: packages\pandas\core\groupby\generic.py in aggregate(self, func, *args, **kwargs) 926 func = _maybe_mangle_lambdas(func) 927 –> 928 result, how = self._aggregate(func, *args, **kwargs) 929 if how is None: 930 return result packages\pandas\core\base.py in _aggregate(self, arg, *args, **kwargs) 355 obj.columns.intersection(keys) 356 ) != len(keys):… Read More solving nested renamer is not supported with dynamic arguments

How to groupby multiple columns in pandas based on name?

Advertisements I want to create a new dataframe with columns calculated as means of columns with similar names from this dataframe: B6_i B6_ii B6_iii … BXD80_i BXD80_ii BXD81_i data … Cd38 0.598864 -0.225322 0.306926 … -0.312190 0.281429 0.424752 Trim21 1.947399 2.920681 2.805861 … 1.469634 2.103585 0.827487 Kpnb1 -0.458240 -0.417507 -0.441522 … -0.314313 -0.153509 -0.095863 Six1… Read More How to groupby multiple columns in pandas based on name?

Changing specific column values based on conditions in R

Advertisements I have following dataframe named ‘Saty’ in R One_Day Arrived_Date Departure_Date Yes 2022-01-10 NA No 2021-05-12 2021-06-01 Yes 2021-12-01 2021-12-01 Yes 2022-03-01 NA I want to modify the dataframe, if the One_Day column value is ‘Yes’, my ‘Arrived_Date’ and ‘Departure_Date’ should be same, like below dataframe. One_Day Arrived_Date Departure_Date Yes 2022-01-10 2022-01-10 No 2021-05-12… Read More Changing specific column values based on conditions in R