I’m still new to pandas, but I have a dataframe in the following format: and I’m trying to fill all NaN fields in the ‘d_header’ column using the following conditions: ‘d_header’ column should be set only for rows belonging to the same group the group should be determined by the ‘d_prefix’ column value of a row immediately after non-Nan ‘d_header’
Pandas apply unique random number to nan else go to next row
I would like to apply a unique random number to ‘nan’ and keep the group code where group code exists. I’ve tried the following, but i cant seem to get the syntax right, what am i doing wrong. Answer Step 0:- Your Dataframe:- Step 1:- Firstly define a function:- Step 2:- Then just use apply() method:- Now if you print
About values(‘created_at__day’) and values(‘created_at__week’)
I wrote this code to sum up the daily and weekly counts with multiple data registered. What do the 2,3,18,22,27 in created_atday and 7,8,9,13 in created_atweek represent? Also, is there any way to make it easier to understand, such as 2021/3/5 for day and 2021/3/6- for week? I would appreciate it if you could tell me more about this. in
How can I get a specific value from a pandas DataFrame?
I have a .df that looks something like this(df = pandas.read_csv(main_db)): itemName itemBrand itemCode itemStock some name some brand a 6 digit number some low number even more names even more brands nore 6-digit numbers more stocks Looks like that but with actual names and brands. Now if I use result = df[df[‘itemCode’]==itemCode], I get: blank itemName itemBrand itemCode itemStock
How to get rid of the row numbers, to_csv?
after predicting the target value for the classification problem trying to get the predicted values in a .csv file along with the id of particular data instance but getting the unnecessary row numbers. x_test.head() image to.csv() image Answer You index=False , doc specifies this argument
error when when trying to replace characters from a string and assign that a new variable then using it as a argument
can anyone help me fix this error when trying to replace characters from a string and assign that a new variable then using it as a argument and getting this error: in Main, ping(domain) TypeError: ‘…
Cupy says it has scipy’s cg implemented, but cannot find cg(conjugate gradient method) when installed
I am unable to find this https://docs.cupy.dev/en/latest/reference/generated/cupyx.scipy.sparse.linalg.cg.html#cupyx.scipy.sparse.linalg.cg after the installation of cupy. It says module not found Can anyone help me? I don’t know what’s wrong, but I have installed cupy via pip, and this library was supposed to be there, but its not present. Answer The module is available in CuPy v9 betas. (The v: latest docs are generated
is my code okay to execute “if a list has a certain word, remove the elements coming after that?”
I’m trying to write a code to remove all the words coming after a certain word from a set of words as below. I tested out but since I’m quite new to python I’m not sure if this code might cause a problem. Can anyone review this code and point any possible risk from using this code? I tested with
What is best way to loop through Pandas dataframe employing a sequentially counted value in each row where condition is true?
Business Problem: For each row in a Pandas data frame where condition is true, set value in a column. When successive rows meet condition, then increase the value by one. The end goal is to create a column containing integers (e.g., 1, 2, 3, 4, … , n) upon which a pivot table can be made. As a side note,
regex match not working on simple string with Pyteomics parser
I am performing an in silico digestion of the human proteome, meaning that I am trying to chopped the amino acid sequence of every protein at a certain position. I am using the Pyteomics parser function Pyteomics Parser within a bigger function that I have created. I am getting this error: PyteomicsError: Pyteomics error, message: “Not a valid modX sequence: