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pytdcskillsetup L2★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Analyze temporal data and time-series patterns in Python
Best for
When you need to extract trends and seasonality from time-series data without manual feature engineering.
Inputs
- · time-indexed dataframes
- · datetime columns
Outputs
- · trend analysis
- · seasonality detection
- · forecasts with confidence intervals
Requires
- · Python
- · pytdc
- · pandas
- · numpy
Preconditions
- · data indexed by time
- · sufficient history for pattern detection
Failure modes
- · non-stationary data not differenced
- · forecast confidence interval too narrow
Trust signals
- · handles missing values
- · automatic differencing detection