Comments (1)
Look like a main improvement would be scaling the y- limits.
Also suppressing the <matplotlib ... aba8>
text by default would help.
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Related Issues (20)
- Enhance `TargetPixelFile.interact()` to let user access the selected pixels mask directly in Jupyter notebooks
- Potential memory leak using `lightkurve.read` HOT 3
- Support changes in QLP lightcurves in sectors 56+ (renaming of detrended flux columns, etc.) HOT 1
- Using lightkurve for data other than Tess or Kepler HOT 3
- `search_lightcurve(cadence="short")` includes FFI-based data for TESS sector 56+ / Cycle 5+ HOT 4
- `df_sso=lc.query_solar_system_objects(cadence_mask='all')` Query Fail HOT 5
- `FoldedLightCurve.cycle` failed with `TypeError` when folded without `epoch_time`
- `centroid_quadratic()` incorrectly failed in a boundary case, when `mask` is specified and fluxes are all negative HOT 3
- The dependency 'astropy.config' doesn't work in lightkurve. HOT 5
- tpf.get_coordinates() keyword argument name should be frame, not cadence.
- Astroseismology 'seismology.estimate_deltanu();' not working properly HOT 1
- Appending and Normalizing lightcurves for Pyriod Analysis
- Allow `lc.remove_outliers()` to optionally remove outliers based on error HOT 2
- Lightkurve failed to find data in sector 83 HOT 3
- `LightCurveCollection.stitch()` fails with `TableMergeError` when the collection has a mix of CDIPS and SPOC lightcurves
- "det_flux" error HOT 5
- `periodogram` missing from `__init__` file HOT 5
- .stitch() not working with LightCurveCollection HOT 3
- OSError in 'query_solar_system_objects' function HOT 1
- Multi-planet system, bls.to_periodogram trouble getting different bits of data which i need HOT 8
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