I just wonder if it’s possible to print the duplicate values from a dictionary. For exemple I have this dictonary: So if I pick two different keys like: They have a common coffee name like: Purity Coffee Flow, Out Of The Grey Costa Rica La Minita So if I insert the keys for it like: chocolate, medium. The program need
Tag: duplicates
Remove duplicates and keep row that certain column is Yes in a pandas dataframe
I have a dataframe with duplicated values on column “ID”, like this one: I need a way to remove duplicates (by “ID”) but keep the ones that the column Primary is “Yes” (all unique values have “Yes” in that column and duplicated values have one record as “Yes” and all others as “No”) resulting in this dataframe: What is the
How to remove duplicate values in one column but keep the rows pandas?
I have dataframe as per below Country: China, China, China, United Kingdom, United Kingdom,United Kingdom Country code: CN, CN, CN, UK, UK, UK Port Name: Yantian, Shekou, Quanzhou, Plymouth, Cardiff, Bird port I want to remove the duplicates in the first two columns, only keep as: Country: China, , , United Kingdom, , Country code: CN, , , UK, ,
Create pandas dataframe on column name conditions
Python newbie attempting a complex pandas dataframe logic I have multiple dataframes I need to join but I’ll show two below for the example. The dataframe have duplicate columns labelled with suffix ‘_duplicate’. I need to replicate the row instead of having the duplicate column as seen below. My first thought is to get a list of unique column names
Can’t duplicate .gif file in my folder. Will only give the first frame of the gif for each duplicate that is created
Answer If you just want to make 9 identical copies of image.gif, called copy-1.gif through copy-9.gif you don’t need PIL/Pillow at all – you are just copying a file and the fact it contains an image is irrelevant, so you can simply use shutil.copy: If you list the results:
Remove duplicate value on nested list python
I have a problem here when I want to remove duplicate in a list that has a nested list, how can I remove the duplicate value from list? What I got here from my script, it can remove a duplicate, but the nested list has a different result from what I expect. This is my script: Result: Expected Result: Answer
Python – Trouble printing to CSV
My code seems to be outputting the list I want, however, when I try printing the list to CSV I do not get the same result on the .csv file for some reason. I am sure there’s something not right at the end of my code. Could anyone please shed some light? Thanks in advance. Answer I have not used
Copy and split row by if cell condition it met – Pandas Python
I am trying to overcome the issue when I have a cell with specific char(‘;’) which I would like to copy the same line with the amount if splitters that specific cell in specific col got. For example: Index Name Age Car 1 David 45 Honda;Subaru 2 Oshir 32 BMW The result that I am trying to get is the
Extract data from pandas dataframe columns with duplicate names
I have a dataframe which has duplicate column names: …and want to convert it into two dataframes; one only of “Accepted” columns and other for “Reject” Columns: df1: df2: Tried: … but this only gives the first column matching this name. Answer If select one column with same name are selected all columns with same name in DataFrame: Then is
How to use applymap lambda with two conditions
I’d like to find duplicated rows in a Pandas dataframe. When I use df.duplicated() it returns the following error: TypeError: unhashable type: ‘list’ To resolve this error, I tried the following: However, I receive a new but similar error: “TypeError: unhashable type: ‘dict'” Does anyone know how I can use applymap lambda with two conditions? (the conditions are if isinstance(x,