I have a data-frame I want to make a new column titled P_3 such that: My conditions are: I have applied the following codes: But it gives me the following error: Answer In summary, your unique condition is: combine_first: update null elements with value in the same location in other (ref: Pandas doc.)
Tag: pandas
New line character not being replaced even after trying many methods
I cannot get this to replicate outside of this file, since if I try it on a string myself it works, but for some reason not in my dataframe. I just want to get rid of the ‘n’ characters in my strings, but its not working, as seen below. I’ve tried the following, with no success Answer Try ad…
Python Pandas – Lookup a variable column depending on another column’s value
I’m trying to use the value of one cell to find the value of a cell in another column. The first cell value (‘source’) dictates which column to lookup. My required output value in the ‘output’ column is a lookup of the ‘source’: Failed attempts This results in a Value…
Multiplying pandas columns based on multiple conditions
I have a df like this I want a output like below The goal is calculate column C by mulytiplying A and B only when the count value is “yes” but if the column People values are same that is yes for dia and no for also dia , then we have to calculate for the count value “no” I
Wrong column data in figure in Python
I am trying to plot multiple graphs in one figure using subplots. It looks the way I want but the data on x-axis is wrong. Instead of taking the values of ‘Time’ it is taking the number of indices of the csv file imported using pandas. The time is from 0 to 7 milliseconds only. csv is imported as …
pandas concat dictionary problem with too many indices
I am trying to concat a bunch of data frames which I placed into a dictionary. The following is my code: I get the following error: Shape of passed values is (1924, 55), indices imply (1904, 55) is there a way to avoid this? Answer Based on the comments, what you want is to join (merge) the dataframes not con…
Groupby and count only how many times customer was called at specific point of time
my problem is closely related to Groupby count only when a certain value is present in one of the column in pandas. Let’s say I have a dataframe which is sorted by not_unique_id and date_of_call. Now I want to add a new column which tells me, how often the customer was called successfully in the past. I…
Python pandas: How to extract rows with multiple “exact” certain values
I have a csv file with a lot of data, and I have to print out all the rows that match with multiple conditions, there are 3 columns need to be focused on. In the ‘description’ columns, I need to find all rows contain six different values and they are ‘Physically active’, ‘Anxiety disorder’, ‘Daily…
How to send file from React/Next.js client UI to Node server and next to Flask service
I want to send an Excel file from UI to Node JS, extract authorization token in NODЕ JS and then send to the Flask Server. I don’t want to share my authorization token with the client UI, so I don’t want to send the file from there directly to Flask API. Also, I would like not to save the file
How format different values in pandas?
i have a columns of dataframe with 1000+ different format of values. how can i format these in order to have unified view like this 1.000.000. for example: row 1 is desiderated view row 2 10000000 should be 10.000.000 row 3 150,250 should be 150.250 row 4 0,200655 should be 200.655 Answer For your input this …