Learn how to filter Pandas dataframe using ‘in’ and ‘not in’ operators, similar to SQL. Master efficient data filtering techniques in Pandas for data analysis and manipulation.… Read More How to Filter Pandas Dataframe using ‘in’ and ‘not in’ like in SQL
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 show… Read More How to build relevant auto generating tags recommendation model in python
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 I… Read More Run code in a frame from one site to another with JavaScript
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 I… Read More Run code in a frame from one site to another with JavaScript
I just started to learn python and tried to setup a simple GUI with Tkinter. I am having problems understanding the grid feature of Tkinter. I want to create a GUI, where I can dynamically add new frames with a fixed setup. For simplicity, I just used labels in this example. This is my code:… Read More Tkinter Grid of Labels with fixed column-sizes
I have basic df and I’m trying to add different color for each bar. According to e_color doc we need to provide a vector of colors but it doesn’t work, I’m getting only one color from the vector. Additionally I’d like to rotate by 45dg x axis label but haven’t found any solution yet. Any… Read More How to color bar chart & rotate axis label in echarts4r
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 write… Read More Python: Filling a dataframe sequentially based on matching ids (inefficient code)
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
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 1.055255… Read More How to groupby multiple columns in pandas based on name?
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 2021-06-01… Read More Changing specific column values based on conditions in R