I need to join the below dataframe based on some condition. df_output I need to join two dataframe df1, df2 based on Id column but every element should be in df.Id list that’s when we consider it a match. Answer While this isn’t a highly efficient solution, you can use some sets to solve this prob…
Tag: python
Y finance Date alignment
This might be a relatively difficult question; The scope of the code I want to write, is to automate the alignment of Dates that i pull from yfinance regarding BTC and S&P 500 since the S&P500 (SPY) is not traded on weekends, but BTC is, I want to automatically delete the columns of dates from BTC tha…
HTML problem with tags and classes in a simple and little scraping with BeautifulSoup
I am new and am trying to get BeautifulSoup to work. I have Html problems with recovering classes and tags. I get closer, but there is something I’m wrong. I insert wrong tags and classes to scrape the title, time, link, and text of a news item. I would like to scrape all those titles in the vertical li…
find nested boxes from huge dataset with geopandas (or other tools)
Basically I have DataFrame with a huge amount of boxes which are defined with xmin ymin xmax ymax tuples. My task is to remove all nested boxes. (I.e. any box which is within another box has to be removed) My current method: construct GeoDataFrame with box geometry sort by box size (descending) iteratively fi…
pandas rename multiple columns using regex pattern
I have a dataframe like as shown below I would like to remove the keyword US – from all my column names I tried the below but there should be better way to do this But my real data has 70 plus columns and this is not efficient. Any regex approach to rename columns based on regex to exclude the
Normalization and flattening of JSON column in a mixed type dataframe
There dataframe below has columns with mixed types. Column of interest for expansion is “Info”. Each row value in this column is a JSON object. I would like to have the headers expanded i.e. have “Info.id”,”info.x_y_cord”,”info.neutral” etc as individual columns…
Getting first sibling of second instance using Xpath
I’m trying to extract information from this page: I’m trying to extract the time (6:30 PM). My strategy is to find the second instance of the date (Mar. 31st, 2022), and then get the first sibling of that. Photo here (I want the part boxed in yellow): Here’s what I’ve tried: However, t…
How to merge CSV files such that rows with a unique identifier are added into the same row of the output?
I’m using Python to merge 4 headerless CSV’s into one output file. Each CSV has a unique number in the first column as shown in the 2 example CSV files below: 1.csv 2.csv I have generated the output from these CSV’s using the following code. This works fine and outputs a file. The data ends …
How do I change a listbox view in my python Tkinter project to a tree view
I tried to use tree view to display the data of my project output but consistently got below error for all the button clicks I then switched to Listbox view and I was able to execute my project with no errors, all data being displayed, scrollbar working and select working perfectly. How I want to use the tree…
Sum multiple rows of dictionaries in a dataframe, based on condition
How can I add the values and keys of multiple dictionaries based on having the same isolate name? Example dataframe: Isolate dictionary VM20030364 {‘L’: 200, ‘V’: 500, ‘T’: 300, ‘A’: 400, ‘S’: 1} VM20030364 {‘L’: 200, ‘V’: 600…