Dropping duplicate rows in a Pandas DataFrame based on multiple column values Question: In a dataframe I need to drop/filter out duplicate rows based the combined columns A and B. In the example DataFrame A B C D 0 1 1 3 9 1 1 2 4 8 2 1 3 5 7 3 1 …
Pandas drop duplicates based on one group and keep the last value Question: I have a dataframe: import pandas as pd data = pd.DataFrame({"col1": ["a", "a", "a", "a", "a", "a"], "col2": [0,0,0,1,1, 1], "col3": [1,2,3,4,5, 6]}) data col1 col2 col3 0 a 0 1 1 a 0 2 2 a 0 3 3 a 1 …
Remove duplicate values across columns in pandas dataframe, without removing entire row Question: I would like to drop all values which are duplicates across a subset of two or more columns, without removing the entire row. Dataframe: A B C 0 foo g A 1 foo g G 2 yes y B 3 bar y …
How to drop_duplicates in python Question: I have to compare to csv files, which I need to drop the duplicate rows and generate another file. #here I´m comparing the csv files. The oldest_file and the newest_file different_data_type = newest_file.equals(other = oldest_file) #If they have differences, I concat them to drop those rows that are equals …
Using Python, how do I remove duplicates in a PANDAS dataframe column while keeping/ignoring all 'nan' values? Question: I have a dataframe like this: import pandas as pd data1 = { "siteID": [1, 2, 3, 1, 2, ‘nan’, ‘nan’, ‘nan’], "date": [42, 30, 43, 29, 26, 34, 10, 14], } df = pd.DataFrame(data1) But I …
Drop duplicates when for a group a string present more than once in a column-pandas Question: Is there a way to groupby based on 2 columns (Id, Name) in a dataframe and if the presence of a certain string "x_1" in the column "Name" is more than once, then just keep the first row (first …
Pandas drop_duplicates method not working on dataframe containing lists Question: I am trying to use drop_duplicates method on my dataframe, but I am getting an error. See the following: error: TypeError: unhashable type: ‘list’ The code I am using: df = db.drop_duplicates() My DB is huge and contains strings, floats, dates, NaN’s, booleans, integers… Any …
Drop all duplicate rows across multiple columns in Python Pandas Question: The pandas drop_duplicates function is great for "uniquifying" a dataframe. I would like to drop all rows which are duplicates across a subset of columns. Is this possible? A B C 0 foo 0 A 1 foo 1 A 2 foo 1 B 3 …
