def _example3():
data_specs = DataSpecs(
sample_size_a=70,
sample_size_b=10,
mean_a=0.234,
mean_b=0.1031,
sd_a=0.14,
sd_b=0.1,
design="unpaired",
)
data_a, data_b = _gen_data(data_specs)
info = PliffyInfoABD(
data_a=data_b,
data_b=data_a,
ci_percentage=90,
design="unpaired",
measure_units="Height (cm)",
xtick_labels=ABD(a="ants", b="fleas", diff=""),
decimals=8,
marker_color=ABD(a="tab:brown", b="tab:pink", diff="tab:olive"),
summary_marker_size=ABD(a=5, b=5, diff=6),
raw_marker_size=ABD(a=3, b=3, diff=3),
raw_marker_transparency=0.8,
fontsize=10,
)
plot_abd(info)
def _example4():
data_specs = DataSpecs(
sample_size_a=10,
sample_size_b=10,
mean_a=15,
mean_b=10,
sd_a=5,
sd_b=5,
design="paired",
)
data_a, data_b = _gen_data(data_specs)
info = PliffyInfoABD(
data_a=data_b,
data_b=data_a,
ci_percentage=95,
design="paired",
measure_units="Anxiety (points)",
xtick_labels=ABD(a="Control", b="Test", diff="Effect"),
decimals=1,
marker_color=ABD(a="tab:orange", b="tab:purple", diff="tab:cyan"),
summary_marker_size=ABD(a=6, b=6, diff=8),
raw_marker_size=ABD(a=4, b=4, diff=4),
raw_marker_transparency=1,
paired_data_joining_lines=False,
paired_data_plot_raw_diff=True,
ci_line_width=2,
fontsize=12,
zero_line_width=2,
zero_line_color="tab:red",
)
plot_abd(info)
def _example2():
data_specs = DataSpecs(
sample_size_a=50,
sample_size_b=10,
mean_a=10,
mean_b=4,
sd_a=5,
sd_b=3,
design="unpaired",
)
data_a, data_b = _gen_data(data_specs)
info = PliffyInfoABD(
data_a=data_b,
data_b=data_a,
ci_percentage=95,
design="unpaired",
measure_units="Weight (Kg)",
xtick_labels=ABD(a="fish", b="birds", diff="effect"),
decimals=4,
plot_name="figure",
marker=ABD(a="s", b="s", diff="^"),
marker_color=ABD(a="tab:blue", b="tab:red", diff="tab:green"),
fontsize=12,
)
plot_abd(info)
def pliffy_info_example3(seed=233):
data_a, data_b = gen_paired_data(seed)
return PliffyInfoABD(
data_a=data_b,
data_b=data_a,
ci_percentage=99,
design="unpaired",
measure_units="Force (N)",
xtick_labels=ABD(a="Men", b="Women", diff="diff"),
decimals=4,
plot_name="example3",
save=False,
save_path="",
save_type="",
dpi=600,
marker=ABD(a="v", b="v", diff="*"),
marker_color=ABD(a="black", b="black", diff="cyan"),
summary_marker_size=ABD(a=4, b=4, diff=4),
raw_marker_size=ABD(a=2, b=2, diff=2),
raw_marker_transparency=0.4,
paired_data_joining_lines=False,
paired_data_line_color="gainsboro",
paired_line_transparency=0.4,
paired_data_plot_raw_diff=True,
ci_line_width=2,
fontsize=9,
show=False,
)
def pliffy_info_example2(seed=435):
data_a, data_b = gen_paired_data(seed)
return PliffyInfoABD(
data_a=data_b,
data_b=data_a,
ci_percentage=99,
design="paired",
measure_units="Amplitude (a.u.)",
xtick_labels=ABD(a="control", b="Treatment", diff="effect"),
decimals=4,
plot_name="example2",
save=False,
save_path="",
save_type="",
dpi=600,
marker=ABD(a="o", b="o", diff="^"),
marker_color=ABD(a="tab:blue", b="tab:red", diff="tab:green"),
summary_marker_size=ABD(a=5, b=5, diff=6),
raw_marker_size=ABD(a=3, b=3, diff=3),
raw_marker_transparency=0.2,
paired_data_joining_lines=False,
paired_data_line_color="gainsboro",
paired_line_transparency=0.2,
paired_data_plot_raw_diff=True,
ci_line_width=1,
fontsize=10,
show=False,
)
def test_example_save(tmpdir):
pliffy_info = PliffyInfoABD(
data_a=[1, 2, 3, 4],
data_b=[3, 4, 5, 6],
plot_name="test_figure",
save=True,
save_path=tmpdir,
save_type="png",
show=False,
)
plot_abd(pliffy_info)
figure_path = Path(tmpdir) / (pliffy_info.plot_name + '.' +
pliffy_info.save_type)
assert figure_path.is_file()
def _example5():
fig, axes = plt.subplots(nrows=4, figsize=(3, 8))
last_subplot = len(axes) - 1
for i, ax in enumerate(axes):
data_specs = DataSpecs(
sample_size_a=(i + 1) * 10,
sample_size_b=(i + 1) * 10,
mean_a=100,
mean_b=120,
sd_a=30,
sd_b=30,
design="unpaired",
)
data_a, data_b = _gen_data(data_specs)
show = i == last_subplot
info = PliffyInfoABD(data_a=data_a,
data_b=data_b,
show=show,
fontsize=12)
plot_abd(info, ax)
def _example1():
data_specs = DataSpecs()
data_a, data_b = _gen_data(data_specs)
info = PliffyInfoABD(data_a=data_b, data_b=data_a, design="paired")
plot_abd(info)