| Summary: | When importing a CSV file, columns can get erroneously converted to int if they start with a long string of zeroes, leading to data loss. | ||
|---|---|---|---|
| Product: | [Applications] LabPlot2 | Reporter: | Kat Pavlu <realkpavel> |
| Component: | frontend | Assignee: | Alexander Semke <alexander.semke> |
| Status: | RESOLVED DUPLICATE | ||
| Severity: | minor | ||
| Priority: | NOR | ||
| Version First Reported In: | latest | ||
| Target Milestone: | --- | ||
| Platform: | Flatpak | ||
| OS: | Linux | ||
| Latest Commit: | Version Fixed/Implemented In: | ||
| Sentry Crash Report: | |||
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Description
Kat Pavlu
2025-01-21 22:48:44 UTC
*** This bug has been marked as a duplicate of bug 498595 *** (In reply to realkpavel from comment #0) > SUMMARY > > When importing a CSV file, columns can get erroneously converted to int if > they start with a long string of whole number entries, leading to data loss. > > STEPS TO REPRODUCE > 1. create a CSV file. One of the columns has "0" in it for the first 2000 > lines, followed by 2000 lines containing "0.3". > 2. import the CSV into LabPlot2 > > OBSERVED RESULT > The column that starts with a long list of "0" is imported as an "Integer", > which rounds all its entries to a whole number. Since the rest of the column > contains values smaller than 1, all entries are lost. > > EXPECTED RESULT > Option 1: The software detects the non-zero entries and selects a Double > datatype. > Option 2: The user can override the automatic assignment of "Integer" in the > custom filter options. We addressed this recently, please check the last comment in bug 498595. |