i am new to python and to stackoverflow. Thank You in advance for Your Help. i had a request to understand on how to get all the potential unique keys possible in the dataframe. Saw a similar question below and found the answer cover a major part, but the answers have duplicate combination of columns. ..
Category : duplicates
I have 50 000 words like : add to add chicken a chicken eat the chicken to eat … And i want to drop the line which have a high fuzzy similarity with other lines. Then the output should be: add to eat chicken … I can’t calculate every fuzzy match (50 000**2 match is ..
I am trying to determine which sequential rows have at least 50 duplicates within one column. Then I would like to be able to read which rows have the duplicates in a summarized manner, ie start end total 9 60 51 200 260 60 I’m trying to keep the start and end separate so I ..
I have a dataframe like this. ID,group,event A,0,0 A,1,0 B,0,1 B,1,1 C,0,1 C,1,0 D,0,0 D,1,1 E,0,0 F,0,1 I want to drop some of the duplicates rows based on ‘ID’ and a condition: if group=0 and event=1, then delete the duplicate row which is in group=1 else do not drop duplicates so the desired dataframe is ..
How i would write the proper codes to remove the duplicates form this list [1, 2, 3, -7, -7, ‘Hello’, -7, True] so i can create this one [1, 2, 3, ‘Hello’, -7] As you can notice at the second list, remaing the last -7 that is occured thanks in advance Source: Python..
I have done this in excel but need to learn how to code it elsewhere because I eventually need to use it on more data than what excel can handle. P.S. I’m a novice coder and am learning how to convert my excel codes to Python/Sublime Text. Let’s say I have the following range of ..
I have a pandas data frame in the following format: Date PlantFlow PlantChrome KXRunTime XE1 XE2 XE3 XE4 XE5 XE6 1/1/2021 0:01 485998857 24571431 108977 0 17106889 15869791 32957935 8699419 22887911 1/2/2021 0:00 486702763 24600740 109217 0 17157255 15920161 32993915 8741919 22928438 1/3/2021 0:00 487406859 24630055 109457 0 17207650 15970564 33029915 8784259 22968983 1/4/2021 0:00 ..
I have the following dataframe: df = pd.DataFrame({ ‘brand’: [‘Yum Yum’, ‘Yum Yum’, ‘Indomie’, ‘Indomie’, ‘Indomie’], ‘style’: [‘cup’, ‘cup’, ‘cup’, ‘pack’, ‘pack’], ‘rating’: [4, 4, 3.5, 15, 5]}) df By using the duplicate function we can get the duplicates. df.duplicated() I was wondering if there is a way to mimic the duplicate function without using ..
I have a need to do some processing on many thousands of strings (each string being an element in a list, imported from records in a SQL table). Each string comprises a number of phrases delimited by a consistent delimiter. I need to 1) eliminate duplicate phrases in the string; 2) sort the remaining phrases ..
I have a CSV file that has one column which acts as a serial number. For various reasons that serial number can be repeated on rows, but I want anything other than the most recent listing of that serial number removed. I imagine this is possible with python/pandas as I currently have it removing if ..
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