A Python rewrite of the original fantasy dollar calculator
To use, call the calculate() function, passing it your league settings, the year, and DataFrames of batting and pitching stats. The function returns a new DataFrame with fantasy dollar values and configuration information about your league values (standard deviations, means, and replacement levels).
import pandas as pd
from priceguide import priceguide
batting_df = pd.read_csv("priceguide/data/2022Batting.csv")
pitching_df = pd.read_csv("priceguide/data/2022Pitching.csv")
values_df, values_config = priceguide.calculate(priceguide.League(), 2022, batting_df, pitching_df)
print(values_df.head())
print(values_config)
values_df.to_csv("MyStandardValues.csv", index=False)For custom leagues, you can enter your league's settings. You only need to set the properties that are different from a standard 12-team league.
import pandas as pd
from priceguide import priceguide
batting_df = pd.read_csv("priceguide/data/2022Batting.csv")
pitching_df = pd.read_csv("priceguide/data/2022Pitching.csv")
league = priceguide.League()
league.teams = 15
league.budget = 400
league.hitting_categories = ["HR","SB","R","RBI","OBP"]
values_df, values_config = priceguide.calculate(league, 2022, batting_df, pitching_df)
print(values_df.head())
print(values_config)
values_df.to_csv("MyCustomValues.csv", index=False)