2668/grouping-rows-in-a-list-in-pandas-python-groupby
I have a DataFrame:
a b A 1 A 2 B 5 B 5 B 4 C 6
I want to group the first element and get the second element as list rows, is it possible?
Yes, this possible by using groupby function to group on the column of your choice and then apply the list to every group:
df.groupby('a')['b'].apply(list)
The output you will get as given-below.
a A [1, 2] B [5, 5, 4] C [6]
We would start off by loading the ...READ MORE
Let's assume your list of lists is ...READ MORE
R provides 3 basic indexing operators. Refer ...READ MORE
Hi, The below code returns rows without ...READ MORE
You can also use the random library's ...READ MORE
Syntax : list. count(value) Code: colors = ['red', 'green', ...READ MORE
can you give an example using a ...READ MORE
You can simply the built-in function in ...READ MORE
You can use IMHO: for ind in df.index: ...READ MORE
You can use the rename function in ...READ MORE
OR
Already have an account? Sign in.