Python tools for time series analysis.

• Functions in dataflagging.py:
  • mask_largeunc(): Identify data points with excessive uncertainties.
  • mask_outliers(): Identify outliers.
• Functions in datasampling.py:
  • smart_binning(): Smart binning of unevenly sampled data.
  • split_data(): Split time series data into segments at large time gags.

timeseriestools is licensed under the BSD 3-Clause License - see the LICENSE file.