从元组列表中，将元组 Index[0] 和 Index[1] 插入到函数中

Question

Good mooring to all,

The objective is to be able to create a series of new columns by inserting x and y into the df[f'sma_{x} Vs_sma {y}'] function.

The problem that I'm having is that I'm only getting the last tuple value into the function and therefore into the data frame as you can see on the last image.

On the second part of the code, 3 examples on how the tuples values must be plug into the function. IN the examples I will be using the first 2 tuples (10,11), (10,12) and the last tuple (48,49)

Code:

a = list(combinations(range(10, 15),2))
print(a)

for index, tuple in enumerate(a):
    x = tuple[0]
    y = tuple[1]
    print(x, y)

df[f'sma_{x}_Vs_sma_{y}'] = np.where(ta.sma(df['close'], lenght = x)  > ta.sma(df['close'], lenght = y),1,-1)

Code Examples:

Tuple (10,11)

df[f'sma_{10}_Vs_sma_{11}'] = np.where(ta.sma(df['close'], lenght = 10)  > ta.sma(df['close'], lenght = 11),1,-1)

Tuple (10,12)

df[f'sma_{10}_Vs_sma_{12}'] = np.where(ta.sma(df['close'], lenght = 10)  > ta.sma(df['close'], lenght = 12),1,-1)

Tuple (13,14)

df[f'sma_{13}_Vs_sma_{14}'] = np.where(ta.sma(df['close'], lenght = 13)  > ta.sma(df['close'], lenght = 14),1,-1)

Error code

Answer 1

On the next lines the code that solve the issue. Although looking backwards seams very easy, it took me some time to get to the answer.

Thanks to the people that comment on the issue

a = list(combinations(range(5, 51),2))
print(a)

for x, y in a :
  df[f'hma_{x}_Vs_hma_{y}'] = np.where(ta.hma(df['close'], lenght = x)  > ta.hma(df['close'], lenght = y),1,-1)