Transpose Questions

Suppose i have a 3*3*3 array x. i would like to find out an array y, such that such that y[0,1,2] =

I have a dataframe which can be generated from the code given below df = pd.dataframe({'person_id' :[1,2,3],'date1':

I have these arrays $months = ['jan', 'feb']; $cashuniform = [2000, 1200]; $cashfee =

I have a list of columns that i am trying to show as multiple columns: given below is the list: for name in file:

I do have a dataframe with two columns: date and bill_id. dates range in date column is one year from 01-01-2017 to

I have a dataframe like this : a b c d e f g h -------------------------- 0 xx s 1 d f df f 54 1

I need help transposing some 3rd-party excel output that comes in this format below:

I came across this weird behavior with np.transpose wherein it works differently when used on an numpy array and array

My panda data frame looks like as follows: country code 1960 1961 1962 1963 1964 1965 1966 1967 1968 ... 2015 abw

I have 3 tables in medical database, table: member id_member name 1 pendi 2 ardi

I have a table like this: idstable +--------+-----+-----+-----+-----+-----+ | userid | id1 | id2 | id3 | id4 | id5 |

I have a u0 list in which values are appended, and then i have to take the transpose of u0, but when i am doing this, i still get a

I'm trying to figure out a way to transpose data and then add that data to a seperate dataframe. i have column 1 | column 2|

My data frame is as follows selection_id last_traded_price 430494 1.46 430494 1.48 430494 1.56 430494

Ive searched for transpose and pivots but can't find anything like this. input table: +-----+-------+-------+-------+ | tid | tp1

I want to do the market basket analysis in r and need my python data to be transformed before that. current data: