<jupyter_start><jupyter_text>To get the data, enter in the table name from our metadata sheet.<jupyter_code>dfs=api.get_dataframe('dfs_salaries')
dfs.sample(4)
dfs.describe()
dfs.groupby(["position"]).agg([max])
dfs.groupby("position")[['position','dk_points','fd_points','yh_points']].agg(max).plot(kind="bar")<jupyter_output><empty_output><jupyter_text>Defaultly, we give you results from 2016-present. To get more data, include a season_start parameter<jupyter_code>dfs2014_present=api.get_dataframe('dfs_salaries',season_start=2014)
dfs2014_present.sample(10)<jupyter_output><empty_output><jupyter_text>Advanced FeaturesWe also have a few more features<jupyter_code>#progress bar
dfs2014_present=api.get_dataframe('dfs_salaries',season_start=2011, progress_bar=True)
dfs2014_present.sample(10)
#season_end
player_game_logs=api.get_dataframe("player_game_logs", season_start=2000, season_stop=2002, progress_bar=True)
player_game_logs.sample(3)<jupyter_output><empty_output>
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