python - Pandas Dataframe Comparison and Floating Point Precision

Question

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 simulate it below. How can I get the correct result so the final comparison dataframe returns true for both cells?

a = pd.DataFrame({'A':[100,97.35000000001]})
b = pd.DataFrame({'A':[100,97.34999999999]})
print a

   A  
0  100.00  
1   97.35  

print b

   A  
0  100.00  
1   97.35  

print (a == b)

   A  
0  True  
1  False  

Answer 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