[Python] Fix: ValueError: All arrays must be of the same length

>>> import pandas as pd
>>> df = pd.DataFrame({
...     'A': [1,2,3],
...     'B': [4,5,6],
...     'C': [7,8,9,10]
... })

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/pandas/core/frame.py", line 709, in __init__
    mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...
...

raise ValueError("All arrays must be of the same length")
ValueError: All arrays must be of the same length

You will get an ValueError when working with Pandas DataFrame in Python if you create columns with different lengths.

As you can see in the above example, column C has a length of 4 whereas other columns have a length of 3.

Fix:

We make sure that the length of columns in the data frame are the same.

df = pd.DataFrame({
    'A': [1,2,3],
    'B': [4,5,6],
    'C': [7,8,9]
})

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