Transpose with for loop

Question

I have a list (loads) which contains a number of pandas dataframes of the same size. I need to transpose all these dataframe. Can anyone please explain why the following won't work:

for load in loads:
load=load.T

whereas this option does work:

for ii in range(len(loads)):
loads[ii]=loads[ii].T

Answer 1

for df in mylist:
df=df.T

This won't work because you are just assigning a new value to the loop variable, but it is not written back to the list.

Answer 2

please show your code in code playground.
It is only a fragment you show here.
hard to hel this way.

Answer 3

Exactly as you did in the #This works example, so you already have the solution :)

Answer 4

Hi Oma, here's something you can work with:

import numpy as np
import pandas as pd

# Create a list of dataframes
mylist=[]
for ii in range(5):
mylist.append(pd.DataFrame(np.random.randint(0,10,size=(10, 4)), columns=list('ABCD')))

# This works
for ii in range(len(mylist)):
mylist[ii]=mylist[ii].T

# This does not work
for df in mylist:
df=df.T

Answer 5

Thanks Tibor Santa. So is there a way to get it to re-write back to the list within the same loop?