`load_reports`¶

Load Prevention of Future Death reports as a DataFrame.

Parameters:

Name	Type	Description	Default
`start_date`	`str`	Inclusive lower bound for the report date in `YYYY-MM-DD` format. Defaults to `"2000-01-01"`.	`'2000-01-01'`
`end_date`	`str`	Inclusive upper bound for the report date in `YYYY-MM-DD` format. Defaults to `"2050-01-01"`.	`'2050-01-01'`
`n_reports`	`int or None`	Keep only the most recent `n_reports` rows after filtering by date. `None` (the default) returns all rows.	`None`
`refresh`	`bool`	If `True`, force a fresh download of the dataset instead of using the cached copy. Defaults to `False`.	`False`

Returns:

Type	Description
`DataFrame`	Reports filtered by date, sorted newest first and optionally limited to `n_reports` rows.

Raises:

Type	Description
`ValueError`	If start_date is after end_date.
`FileNotFoundError`	If the dataset cannot be downloaded.

Examples:

from pfd_toolkit import load_reports
df = load_reports(start_date="2020-01-01", end_date="2022-12-31", n_reports=100)
df.head()

load_reports¶