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Today @mi-dai and myself were working on packing SALT3 data into nested pandas. When we tried to run nf.add_nested(src, on='SNID', name='lc') it failed, because it happened that SNID column had object dtype and consisted of heterogeneous data: numbers and strings. A reproducible example:
from nested_pandas import NestedFrame
nf = NestedFrame({"SNID": [1, 'abc']})
nf.add_nested(NestedFrame({"SNID": [1, 1, 'abc', 'abc'], "x": [1, 2, 3, 4]}), name='lc', on='SNID')It failed in our code, basically because this doesn't work in pandas:
nd.set_index('SNID').sort_index()
I'm not sure if it is our problem or not. We potentially may fix this use-case with catching the TypeError and trying to cast on column values to str. Or we can do nothing, because we wouldn't like to change user's data and fix pandas behavior.
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- I have described the situation in which the bug arose, including what code was executed, information about my environment, and any applicable data others will need to reproduce the problem.
- I have included available evidence of the unexpected behavior (including error messages, screenshots, and/or plots) as well as a description of what I expected instead.
- If I have a solution in mind, I have provided an explanation and/or pseudocode and/or task list.
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