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Handle invalid RADEX output values #6

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astropenguin opened this issue Dec 23, 2019 · 0 comments
Open

Handle invalid RADEX output values #6

astropenguin opened this issue Dec 23, 2019 · 0 comments
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astropenguin commented Dec 23, 2019

The format of RADEX output values can sometimes be invalid (e.g., 1.928+104; E or e is missed) and is interpreted as not float but an object by the pandas.read_csv() function. ndRADEX should handle these values as NaN.

@astropenguin astropenguin added the feature New feature or request label Dec 23, 2019
@astropenguin astropenguin self-assigned this Oct 1, 2020
@astropenguin astropenguin modified the milestone: v0.3.0 Oct 2, 2020
astropenguin added a commit that referenced this issue May 15, 2023
@astropenguin astropenguin added this to the v0.4 milestone May 18, 2023
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