src/graphing/plotting.py [28:40]:
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):  
    # Filter and group data. Update colors and labels to reflect to-be-plotted data
    timestamp_groups, datapoint_groups, labels, colors, _ = filter_and_group(
        gc_event_dataframes, group_by, filter_by, labels, column, colors, column_timing
    )
    # if no plot is passed in, create a new plot
    if not plot:
        f, plot = plt.subplots()
    # Create a scatter plot with all data
    if len(datapoint_groups) > len(labels):
        print("Not enough labels to plot")
    if len(datapoint_groups) > len(colors):
        print("Not enough colors to plot")
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src/graphing/plotting.py [828:840]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
):  
    # Filter and group data. Update colors and labels to reflect to-be-plotted data
    timestamp_groups, datapoint_groups, labels, colors, _ = filter_and_group(
        gc_event_dataframes, group_by, filter_by, labels, column, colors, column_timing
    )
    # if no plot is passed in, create a new plot
    if not plot:
        f, plot = plt.subplots()
    # Create a scatter plot with all data
    if len(datapoint_groups) > len(labels):
        print("Not enough labels to plot")
    if len(datapoint_groups) > len(colors):
        print("Not enough colors to plot")
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