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making reading of data more robust against blanks #201

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AdityaSavara opened this issue Sep 26, 2019 · 1 comment
Open

making reading of data more robust against blanks #201

AdityaSavara opened this issue Sep 26, 2019 · 1 comment
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wontfix This will not be worked on

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@AdityaSavara
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During one analysis, Initially got an error. While trying to figure things out, I removed extra extra rows and columns from the input file. I think that may have been the issue. I have not double checked if that was really the issue, but I think it was. I think it’s because blanks are not numbers, and numpy was trying to convert them into floats.
@AdityaSavara AdityaSavara added the wontfix This will not be worked on label Sep 26, 2019
@AdityaSavara
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I recently found this again. Datasmoother (relying on numpy) had problems if there were blank rows at the end.

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