Adds TimeTable and Catalog conversion to Pandas DataFrames #36
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Closes SciQLop#35 Signed-off-by: Alexis Jeandet <alexis.jeandet@member.fsf.org>
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Signed-off-by: Alexis Jeandet <alexis.jeandet@member.fsf.org>
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@@ Coverage Diff @@
## main #36 +/- ##
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- Coverage 87.10% 85.69% -1.42%
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Files 31 31
Lines 1474 1489 +15
Branches 248 252 +4
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- Hits 1284 1276 -8
- Misses 127 150 +23
Partials 63 63
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brenard-irap
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Mar 17, 2022
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This does a simple conversion to Pandas DataFrames for TT and Catalogs. Note that Catalogs as defined in Speasy doesn't force Events to always have the same meta-data, this leads to a DataFrame where columns are the union of all Events meta-data plus as usual start_time and stop_time.
Closes #35