Comparing two pandas dataframes for differences

Question

I\'ve got a script updating 5-10 columns worth of data , but sometimes the start csv will be identical to the end csv so instead of writing an identical csvfile I want it to

Answer 1

This compares the values of two dataframes note the number of row/columns needs to be the same between tables

comparison_array = table.values == expected_table.values
print (comparison_array)

>>>[[True, True, True]
    [True, False, True]]

if False in comparison_array:
    print ("Not the same")

#Return the position of the False values
np.where(comparison_array==False)

>>>(array([1]), array([1]))

You could then use this index information to return the value that does not match between tables. Since it's zero indexed, it's referring to the 2nd array in the 2nd position which is correct.