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0.9.14
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example/cola_lab_tutorial.ipynb

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example/colalab_plot_examples/example_by_metrics_listening.py

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) # add metric by custom name and value
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MV.remove_outliers() # remove outliers
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MV.to_execl(save_path=os.getcwd() + "/example.xlsx") # save to excel
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MV.to_latex() # save to excel
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MV.summary(transpose=True, save_path=os.getcwd() + "/summary.txt") # save summary
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MV.box_plot(no_overlap=True, save_path="box_plot.png")
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MV.violin_plot(no_overlap=True, save_path="violin_plot.png")
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MV.scatter_plot(save_path="scatter_plot.png")
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MV.trajectory_plot(save_path="trajectory_plot.png")
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MV.pie_plot(save_path="pie_plot.png")
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# MV.to_execl(save_path=os.getcwd() + "/example.xlsx") # save to excel
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# MV.to_latex() # save to excel
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# MV.summary(transpose=True, save_path=os.getcwd() + "/summary.txt") # save summary
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# MV.box_plot(no_overlap=True, save_path="box_plot.png")
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# MV.violin_plot(no_overlap=True, save_path="violin_plot.png")
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# MV.scatter_plot(save_path="scatter_plot.png")
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# MV.trajectory_plot(save_path="trajectory_plot.png")
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# MV.pie_plot(save_path="pie_plot.png")
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MV.a12_bar_plot(save_path="A12_bar_plot.png", show=True)
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# tikz_file_path = MV.box_plot(
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# by="trial",
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# engine="tikz",
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metric_visualizer/__init__.py

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# github: https://github.com/yangheng95
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# Copyright (C) 2021. All Rights Reserved.
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__version__ = "0.9.13.post1"
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__version__ = "0.9.14"
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__name__ = "metric_visualizer"
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from .metric_visualizer import MetricVisualizer

setup.py

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"matplotlib>=3.6.3",
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"tikzplotlib",
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"findfile",
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"scipy>=1.10.0",
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"scipy>=1.15.0",
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"tabulate",
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"natsort",
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"numpy",
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],
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entry_points="""
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[console_scripts]
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metric_visualizer=metric_visualizer.cli_command:instant_visualize
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mvis=metric_visualizer.cli_command:instant_visualize
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""",
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)

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