DeepHash: Different dataframes get the same hash

[amakelov]

Describe the bug
Hash collision seems to happen whenever two dataframes have the same column names, regardless of the rows.

To Reproduce

from deepdiff import DeepHash
x = pd.DataFrame({'a': [1, 2, 3]})
y = pd.DataFrame({'a': [1, 2, 3, 4]})
a = DeepHash(x)[x]
b = DeepHash(y)[y]
assert a == b

Expected behavior
Collisions should be harder to find than this (unless this was designed into the library?)

OS, DeepDiff version and Python version (please complete the following information):

• OS: Ubuntu 22.04.2 LTS
• Python Version: 3.10.8
• DeepDiff Version: 6.3.0

[seperman]

Hi @amakelov
While we have been supporting Numpy for many years, Pandas data-frames have never been covered. If you have time to add the Pandas support to DeepDiff, that would be great. Otherwise I will look into it when I have a chance.