Pandas Dataframe Comparison And Floating Point Precision

I'm looking to compare two dataframes which should be identical. However due to floating point precision I am being told the values don't match. I have created an example to simula

Solution 1:

OK you can use np.isclose for this:

In [250]:
np.isclose(a,b)

Out[250]:
array([[ True],
       [ True]], dtype=bool)

np.isclose takes relative tolerance and absolute tolerance. These have default values: rtol=1e-05, atol=1e-08 respectively