I am trying to figure out how to sum a value from rank 5 to the LOWEST rank (I.E. 5-1,000) for each geography in my dataframe. However, I am getting the error: ‘DataFrameGroupBy’ object has no attribute ‘iloc’ Am I using iloc incorrectly? Answer IIUC, try:
Tag: dataframe
Resolving conflicts in Pandas dataframe
I am performing record linkage on a dataframe such as: When my model overpredicts and links the same ID_1 to more than one ID_2 (indicated by a 1 in Predicted Link) I want to resolve the conflicts based on the Probability-value. If one predicted link has a higher probability than the other I want to keep a 1 …
Merge 2 columns from a single Dataframe in Pandas
I want to merge 2 columns of the same dataframe, but by using some specific condition. consider the following dataframe : number-first Number-second 1 Nan 2 4C 3A 5 Nan 6 Nan 7 Nan Nan The conditions are: If the Number-first column has a alphanumeric value and the Number-second Column has a Nan value or a …
Delete the rows that have the same value in the columns Dataframe
I have a dataframe like this : origin destination germany germany germany italy germany spain USA USA USA spain Argentina Argentina Argentina Brazil and I want to filter the routes that are within the same country, that is, I want to obtain the following dataframe : origin destination germany italy germany sp…
How am I able to replace duplicates in a dataframe column in python?
say my column is something like this: I would like to drop the duplicate elements in the column and replace them with NAN or 0 so it would end up with something like: I am completely unsure of the logic I can use to do this, I think I would forward fill up until the next change in signal with
How to calculate total difference in milliseconds by condition?
I have the following pandas dataframe df: timestamp version actual pred 2022-01-19 11:00:00.600 1 0 0 2022-01-19 11:00:00.800 1 0 1 2022-01-19 11:00:01.200 1 1 0 2022-01-19 11:00:01.800 1 0 0 2022-01-19 11:00:02.200 2 1 1 2022-01-19 11:00:02.600 2 0 0 2022-01-19 11:00:03.200 3 0 1 2022-01-19 11:00:03.600 3 0 …
Compare two dataframe column values and join with condition in python?
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…
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…
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
Changing column various string formats in pandas
I have been working on a dataframe where one of the column (flight_time) contains flight duration, all of the strings are in 3 different formats for example: “07 h 05 m” “13h 55m” “2h 23m” I would like to change them all to HH:MM format and finally change the data type from…