Currently I have a sort of dataframe where I want to substract value from current row from the previous one. example: df = pd.Datafame([1,4,3,5,6],columns = [“time”)]) left 1 4 3 5 6 I want to iterate over these rows and store it in a list. So the list will get like this [-3,1,-2,-1]. So far I have this Now the
Tag: for-loop
Scraping multiple website data from a table
I am practicing scraping website and inputting the information into a table. I imported the link, but I seem to be getting an error message based off the url. The error message I received states: I rechecked the url to run the code again, but I am still receiving this error message. Can someone please help me? Answer You need
Python: Image face detection and sorting into face and no face
I am trying to create a sorting system where an image is sorted based on having a face or not. and it doesn’t seem to run quite as expected. after the first image is sorted, the loop stops working and I can’t seem to figure out what is wrong. (I am aware of how inefficient it is). all in all,
how to write a conditional for loop in DAX?
I’m using PowerBI to create a dashboard that summarizes data from a train movements simulation. (I’m a psychologist with some basic understanding of python and currently learning DAX.) Here is some background: I use [index] to maintain the order of the rows [Notification] is a column that contains text [Train Nr] is a column that contains the ID of the
generated empty [i] in for loop
I want to create an empty set up to the value n entered by the user and assign the values in the for loop into this set. But for this, it is necessary to create as many for loops as the user inputs, it is not possible to do this. How can I do it? The code below works correctly,
Pandas appending dictionary values with iterrows row values
I have a dict of city names, each having an empty list as a value. I am trying to use df.iterrows() to append corresponding names to each dict key(city): Can somebody explain why the code above appends all possible ‘fullname’ values to each dict’s key instead of appending them to their respective city keys? I.e. instead of getting the result
What’s the cleanest way of counting the iteration of a queryset loop?
I need to loop through a queryset and put the objects into a dictionary along with the sequence number, i, in which they appear in the queryset. However a Python for loop doesn’t seem to provide a sequence number. Therefore I’ve had to create my own variable i and increment it with each loop. I’ve done something similar to this,
Python – Iterate through multiple dataframes and append data to a new dataframe
I have 3 pandas dataframes. I would like to append one row from each in each iteration to an existing dataframe. Example shown below: Dummy code: Please could someone point me in the right direction? Answer Concatenate them, using the keys argument to associate an index with rows from each original dataframe, then swap the index levels and sort the
how to match two lists that contain some matching strings?
I have two list such as. First list contains some additional string in the elements but I want to find the match with or without converting it to integer from the second list. output req: Tried: Answer If you only want to compare the number part you have to do some conversion. Start with l2 is now [1, 4]. Now
For loop with lot of different Urls
totally novice in python, after many youtube videos and tutorial i’m trying to scrape basketball starting lineups from flashscore. Here’s an example of a link: https://www.flashscore.it/partita/6PN3pAhq/#informazioni-partita/formazioni As you can see in the middle there’s a code (6PN3pAhq) that corresponds to a particular match: every match has a different one, i scraped all the results (144 matches at the moment) and