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PyFLASH

Mean Bars Basic

Jay2owe/PyFLASH

Mean Bars Basic¶

Goal¶

Compare one numeric marker summary between two groups from a small table.

Code¶

import pandas as pd
from PyFLASH.plotting import plot_mean_bars

df = pd.DataFrame({
    "Subject": ["C1", "C2", "C3", "A1", "A2", "A3"],
    "Diagnosis": ["Control", "Control", "Control", "AD", "AD", "AD"],
    "GFAP Volume": [1.0, 1.1, 0.9, 2.0, 2.2, 2.1],
})

result = plot_mean_bars(
    df,
    data_cols=["GFAP Volume"],
    group_col="Diagnosis",
    subject_col="Subject",
    points=True,
    save=False,
    save_normality=False,
)

print(result.keys())

Result¶

PyFLASH wraps the DataFrame internally, draws one bar chart, and returns a result dictionary. With save=True, the SVG and statistics files would be written below the object's figure folder.

Notes¶

For reusable analysis scripts, wrap the table once with from_dataframe. Direct DataFrame input is convenient for quick one-off plots.

See Also¶