How to turn three individual tuples into a pandas dataframe?

I have the following tuples with data:

      import pandas as pd

      tuple_1 = [1,2,3,4,5]
      tuple_2 = ['a', 'b', 'c', 'd', 'e']
      tuple_3 = [10,20,30,40,50]

I would like to build a dataframe containing these three tuples as columns of the dataframe.

When I do, with just a tuple is working:

      df = pd.DataFrame(data=tuple_1, columns=['Tuple 1'])
      print(df)


      Tuple 1
         1
         2
         3
         4
         5

However, when I tried to do for the three tuples occurs the error:

       df = pd.DataFrame(data=[tuple_1, tuple_2, tuple_3], columns=['Tuple 1', 'Tuple 2', 'Tuple 3'])

ValueError: 3 columns passed, passed data had 5 columns

The desired output is:

       Tuple 1    Tuple 2   Tuple 3
         1          a         10
         2          b         20
         3          c         30
         4          d         40
         5          e         50

>Solution :

Use a dictionary:

df = pd.DataFrame({'Tuple 1': tuple_1, 'Tuple 2': tuple_2, 'Tuple 3': tuple_3})

NB. Your "tuples" are actually lists

You could also fix your approach using zip to transpose the data:

df = pd.DataFrame(data=zip(*[tuple_1, tuple_2, tuple_3]), columns=['Tuple 1', 'Tuple 2', 'Tuple 3'])

Output:

   Tuple 1 Tuple 2  Tuple 3
0        1       a       10
1        2       b       20
2        3       c       30
3        4       d       40
4        5       e       50