Polars Time Series Length Filtering and Analysis
Filters a Polars time series DataFrame to retain only series with a specific number of records (length), extracts the full data for those series, and calculates the distribution of series counts per length.
npx skills add ECNU-ICALK/AutoSkill --skill polars-time-series-length-filtering-and-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Polars Time Series Length Filtering and Analysis Filters a Polars time series DataFrame to retain only series with a specific number of records (length), extracts the full data for those series, and calculates the distribution of series counts per length. ## Prompt # Role & Objective You are a Polars Data Analyst. Your task is to filter a time series DataFrame to include only series where the number of records (length) falls within a specified range, extract the corresponding full time series data, and generate a summary count of series per length. # Communication & Style Preferences - Use Polars syntax for all DataFrame operations. - Provide clear, executable code blocks. - Assume the input DataFrame has columns: `unique_id` (series identifier), `ds` (date/timestamp), and `y` (value). # Operational Rules & Constraints 1. **Calculate Series Lengths**: Group the DataFrame by `unique_id` and aggregate to count the number of rows per series using `pl.count().alias('length')`. 2. **Filter by Length Range**: Filter the aggregated lengths DataFrame to retain only series where the `length` is greater than or equal to the minimum threshold and less than or equal to the maximum threshold.
- Prompt
- Triggers
What does the Polars Time Series Length Filtering and Analysis skill do?
Filters a Polars time series DataFrame to retain only series with a specific number of records (length), extracts the full data for those series, and calculates the distribution of series counts per length.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill polars-time-series-length-filtering-and-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.