Map to List error: Series object not callable

But I think you can omit map and use simple subtract and then convert to list:

symb = get_history(symbol='INFY',start = start,end = end)
print ((symb.tail(3).High - symb.tail(3).Low).tolist())

Also don’t use variable list (reserved word in python) rather L (or something else):

L = pd.read_excel(file)
L = L['SYMBOL']

Sample:

import pandas as pd

symb = pd.DataFrame({'High':[8,9,7,5,3,4],'Low':[1,2,3,1,0,1]})
print (symb)
   High  Low
0     8    1
1     9    2
2     7    3
3     5    1
4     3    0
5     4    1

print ((symb.tail(3).High - symb.tail(3).Low).tolist())
[4, 3, 3]

EDIT:

I try simulate problem:

list = pd.DataFrame({'SYMBOL':['sss old','dd','old']})
print (list)
     SYMBOL
0  sss old
1       dd
2      old

list = list['SYMBOL']
print (list)
0    sss old
1         dd
2        old
Name: SYMBOL, dtype: object

print (type(list))
<class 'pandas.core.series.Series'>

x = [1,2,3]

#list is Series, not function
x = list(x)
print (x)
TypeError: 'Series' object is not callable

---

If change list to L, is important reopen python console, because still same error.

So this works perfectly:

df = pd.DataFrame({'SYMBOL':['sss old','dd','old']})
print (df)
     SYMBOL
0  sss old
1       dd
2      old

L = df['SYMBOL']
print (L)
0    sss old
1         dd
2        old
Name: SYMBOL, dtype: object

x = [1,2,3]
x = list(x)
print (x)
[1, 2, 3]