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chelsea-lin
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May 10, 2024
| Now, to combine the two datasets and view the highest speeds | ||
| of the birds across the two datasets | ||
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| >>> s1.combine(s2, np.maximum) |
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The order of the outputs are different as pandas. How we decide the ordering of the output?
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Pandas will check the index of both sides, if they are not exactly the same, it will sort the index. If we wanted to copy this behavior, we would need to download the index from both sides of the operation, which I don't think is worth it. Users can always call sort_index() after combining if needed.
| other (Series or scalar): | ||
| The value(s) to be combined with the `Series`. | ||
| func (function): | ||
| BigFrames DataFrames ``remote_function`` to apply. |
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Is the np.maxinum a remote function in the example?
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Its a numpy ufunc. Having remote functions in the doctests has been problematic so far.
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Fixes #<issue_number_goes_here> 🦕