All Questions
1,079 questions
0
votes
1
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42
views
Approaches To Optimize Nested For Loops and Dataframe Creation?
I am not very experienced with coding but I am creating a customtkinter application style script where a user can input a specific type of html that contains diagnostic addresses and various ...
0
votes
1
answer
86
views
How to replace nested for loops with apply from dataframe in python
I have a dataframe and a list below.
import pandas as pd
my_df = pd.DataFrame({'fruits': ['apple', 'banana', 'cherry', 'durian'],
'check': [False, False, False, False]})
...
0
votes
1
answer
77
views
Manipulate data in a DataFrame
I am very new to Python, so please bear with me. I have this dataframe called df_staging (sample image) that summarizes the annual sales and income for multiple counties (A1,A2,A3,A4,etc.).
I want to ...
0
votes
1
answer
121
views
Handling Occasional 100 MB API Responses in FastAPI: Polars vs. NumPy/Pandas?
I'm working on an asynchronous FastAPI project that fetches large datasets from an API. Currently, I process the JSON response using a list comprehension and NumPy to extract device IDs and names. For ...
0
votes
1
answer
73
views
pandas Iterate columns and rows in a dataframe to get the output straing of the combination in to a list
I have a dataframe like below
data = {'col7': ['Apple','Banana','-','-','-','-'],'col6': [float('NaN'),float('NaN'),'-','-','-','HA'],'col5': [float('NaN'),float('NaN'),'-','-','-','HB'],'col4': [...
0
votes
3
answers
70
views
For loop in dataframe column
I want to iterate through dataframe column, ['Status'], and based on value calculate days since date in column ['Date'] and write to a third column,['Days'].
import pandas as pd
from datetime import ...
1
vote
1
answer
62
views
Python How to Select to List All DataFrame Rows where Column has a NaN Entry
I have a DataFrame (20k rows) with 2 columns I would like to update if the first column (latitude) row entry is NaN. I wanted to use the code below as it might be a fast way of doing it, but I'm not ...
1
vote
1
answer
65
views
Using for-loops to process multiple pandas dataframes
I'm processing many dataframes and want to remove null and negative values using a for-loop. The python code seems like it should work, but it doesn't. I'm wondering why this logic doesn't work in ...
2
votes
1
answer
38
views
How to delete all rows below after specific symbol and for each id
This is my dataframe:
id url
25 google.com/main
25 google.com/buy
25 google.com/videos
144 google.com/buy
144 google.com/videos
144 google.com/...
1
vote
0
answers
88
views
Optimize loops in Numpy correlation matrices
I have a piece of code to calculate price sensitivity based on the product and its rating.
Below is the original data set with product type, reported year, customer’s rating, price per unit, and ...
0
votes
1
answer
30
views
How do I fill missing values in a dataframe with the values found in another dataframe using a lookup value? [duplicate]
Basically, I have a df with car model+year as a string in 1 column. The dataframe is a collection of used cars for sale so there are duplicate model+year rows but not duplicated entire rows. In this ...
1
vote
2
answers
35
views
Create dataframes with parametrized names [duplicate]
I have a dataframe like:
df
name value
0 a 10
1 a 5
2 b 4
3 b 8
I want to create filtered datasets using the 'name' feature. Something like:
for i in ['a', 'b']:
df_{i} = ...
-1
votes
2
answers
47
views
Loop and store muliple paths Pandas
Goal: Parameterize multiple paths and merge all data on ID using pandas. For example, I have multiple paths below:
\Users\Documents\202301\data01.pqt
\Users\Documents\202302\data02.pqt
\Users\...
0
votes
2
answers
91
views
Comparing data from two dataframes and filtering them
I've recently worked on a project in which I use pandas dataframes to store data. I've currently got two dataframes containing odds from sportsbookies for football games, with this data I want to ...
1
vote
1
answer
32
views
Resolving multiple Python data frames within single object
I'm attempting to loop through multiple pages (2 for the purposes of this example) of a website, scrape relevant customer reviews data, and ultimately combine into a single data frame.
The challenge I'...