I/O¶

Excel exporter¶

fantasyfb.io.excel_exporter.FantasyExcelExporter ¶

FantasyExcelExporter(output_path: str)

Handles Excel export with formatting for fantasy football data.

Initialize Excel writer and formatting.

Parameters:

Name	Type	Description	Default
`output_path`	`str`	Full path to output Excel file	required

export_rosters ¶

export_rosters(rosters_df: DataFrame)

Export rosters with WAR conditional formatting.

export_available ¶

export_available(available_df: DataFrame)

Export available players with WAR conditional formatting.

export_schedule ¶

export_schedule(schedule_df: DataFrame)

Export schedule with win probability formatting.

export_standings ¶

export_standings(standings_df: DataFrame)

Export standings with playoff probability formatting.

export_analysis ¶

export_analysis(data_df: DataFrame, sheet_name: str, freeze_cols: int = 1)

Export analysis results (pickups, adds, drops, trades).

export_deltas ¶

export_deltas(deltas_df: DataFrame)

Export per-game deltas with full conditional formatting.

close ¶

close()

Close the Excel writer.

HTML exporter¶

fantasyfb.io.html_exporter.FantasyHtmlExporter ¶

FantasyHtmlExporter(output_path: str, week: int, me: str, sims: Optional[int] = None, day: Optional[str] = None, platform: str = 'Yahoo', bestball: bool = False, drop_safe_threshold: float = -4.0, drop_depth_threshold: float = -12.0)

Collects fantasy football DataFrames and writes one interactive HTML report.

Parameters:

Name	Type	Description	Default
`output_path`	`str`	Full path to the output .html file	required
`week`	`int`	Current NFL week	required
`me`	`str`	Name of the user's own fantasy team (the report's default view)	required
`sims`	`Optional[int]`	Number of Monte Carlo simulations behind the numbers	`None`
`day`	`Optional[str]`	Weekday label shown in the header (e.g. "Wednesday")	`None`
`platform`	`str`	Fantasy platform name shown in the footer	`'Yahoo'`
`bestball`	`bool`	Whether the report is for a best ball run	`False`
`drop_safe_threshold`	`float`	A drop whose expected-earnings delta is above this value gets the "Safe to cut" verdict	`-4.0`
`drop_depth_threshold`	`float`	Above this (but not above the safe threshold) gets "Depth"; anything lower is "Keep"	`-12.0`

export_rosters ¶

export_rosters(rosters_df: DataFrame)

Collect rostered players.

export_available ¶

export_available(available_df: DataFrame)

Collect available (free agent) players.

export_schedule ¶

export_schedule(schedule_df: DataFrame)

Collect the simulated league schedule.

export_standings ¶

export_standings(standings_df: DataFrame)

Collect simulated standings.

export_analysis ¶

export_analysis(data_df: DataFrame, sheet_name: str, freeze_cols: int = 1)

Collect an analysis table ("Adds", "Pickups", "Drops" or "Trades").

freeze_cols is accepted for signature parity with the Excel exporter and ignored.

export_deltas ¶

export_deltas(deltas_df: DataFrame)

Collect per-game deltas (the --deltas rooting guide).

deltas_df is the frame returned by League.perGameDelta: one row per hypothetical winner (winner column), one column per team holding that team's change in expected earnings if that winner wins.

render ¶

render() -> str

Render the report to an HTML string.

close ¶

close()

Write the HTML file.