src/graphing/allocation_rate.py [16:28]:
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    gc_event_dataframes,  # list of dataframes, containing gc event information. 
    group_by=None,  # A string to explain what groups to make within 1 gc_event_dataframe
    filter_by=None, # resitrctions on the data. list of tuples: (column, boolean-function) 
    labels=None,    # list of str labels to describe each gc_event_dataframe.  
    interval_duration=None, # integer or float. Creates groups of this size to find alloc rate.
    colors=None,    # colors to override 
    plot=None, #    matplotlib ax to plot onto. If none provided, one is created
    column_before="HeapBeforeGC", # Column used as information before event
    column_after= "HeapAfterGC", # Column used to find information after event
    column_timing = None, # Timing information used for X axis. List of floats or ints
    percentile = None, #  If True, and interval_duration is not None, plots the percentile
    line_graph = False # Plots as a line graph rather than a scatter plot
):  
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src/graphing/plotting.py [790:802]:
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    gc_event_dataframes,  # list of dataframes, containing gc event information. 
    group_by=None,  # A string to explain what groups to make within 1 gc_event_dataframe
    filter_by=None, # resitrctions on the data. list of tuples: (column, boolean-function) 
    labels=None,    # list of str labels to describe each gc_event_dataframe.  
    interval_duration=None, # integer or float. Creates groups of this size to find alloc rate.
    colors=None,    # colors to override 
    plot=None, #    matplotlib ax to plot onto. If none provided, one is created
    column_before="HeapBeforeGC", # Column used as information before event
    column_after= "HeapAfterGC", # Column used to find information after event
    column_timing = None, # Timing information used for X axis. List of floats or ints
    percentile = None, #  If True, and interval_duration is not None, plots the percentile
    line_graph = False # Plots as a line graph rather than a scatter plot
):  
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