benchmark/analysis.py
def names_to_plot_logy(names: List[str], dfs: pd.DataFrame, title=None):
    """
    Plot given programs with log scaled y axis.
    """
    benchmark_subset = names_to_dfs(names, dfs)
    if title is None:
        title = names_to_vs(names) + ' (log y scaled)'
    def log_scale(g): return g.set_yscale('log')
    plot_line(benchmark_subset, x='n', y='ms',
              title=title, options_f=[log_scale])

    Plot given programs with log scaled y axis.
    
Plot given programs with log scaled y axis.
Plot given programs with log scaled y axis .
def names_to_plot_logy(names: List[str], dfs: pd.DataFrame, title=None):
    benchmark_subset = names_to_dfs(names, dfs)
    if title is None:
        title = names_to_vs(names) + ' (log y scaled)'
    def log_scale(g): return g.set_yscale('log')
    plot_line(benchmark_subset, x='n', y='ms',
              title=title, options_f=[log_scale])
def names_to_plot_logy ( names : List [ str ] , dfs : pd . DataFrame , title = None ) : benchmark_subset = names_to_dfs ( names , dfs ) if title is None : title = names_to_vs ( names ) + ' (log y scaled)' def log_scale ( g ) : return g . set_yscale ( 'log' ) plot_line ( benchmark_subset , x = 'n' , y = 'ms' , title = title , options_f = [ log_scale ] )
Plot given programs with log scaled y axis.
Plot given programs with log scaled y axis .
"""
    Plot given programs with log scaled y axis.
    """
names
List[str]
dfs
pd.DataFrame
title