prerequisite code for in function examples

from ratioimage.ratio_images import (
    create_img_dict_from_folder,
    ratiometric_measure_region_props_to_tidy_df,
    sample_id_to_categories,
    split_img_key_col_to_sample_id_and_replicates,
)

C0_imgs = create_img_dict_from_folder(load_pattern="data/PercevalHR_data/imgs/*C0.tiff")
C1_imgs = create_img_dict_from_folder(load_pattern="data/PercevalHR_data/imgs/*C1.tiff")
lab_imgs = create_img_dict_from_folder(
    load_pattern="data/PercevalHR_data/segs/*.tif", label=True
)
df = ratiometric_measure_region_props_to_tidy_df(C1_imgs, C0_imgs, lab_imgs)

df = split_img_key_col_to_sample_id_and_replicates(
    df, sample_id_colname="genotype", split_regex=r"g"
)

df = sample_id_to_categories(
    df, sample_id_colname="genotype", old_to_new_sample_ids={"a1": "ctrl", "a2": "mut"}
)

df.head()

	label	area	mean_intensity_num	centroid-0	centroid-1	img_key	mean_intensity_denom	ratio_mean_int	genotype	rep_id
0	1	342	0.017960	7.400585	295.084795	a1g01	0.010094	1.779309	ctrl	01
1	2	200	0.012017	35.585000	80.495000	a1g01	0.006473	1.856478	ctrl	01
2	3	269	0.013259	79.152416	174.858736	a1g01	0.027961	0.474173	ctrl	01
3	4	213	0.013988	76.201878	282.995305	a1g01	0.019588	0.714101	ctrl	01
4	5	546	0.025333	86.560440	322.816850	a1g01	0.013664	1.854012	ctrl	01

plot_results functions

tidy_create_strip_box_plot[source]

tidy_create_strip_box_plot(y_axis_start:int=0, y_axis_limit:int=None, y_label:str='set y label', notch:bool=True, **kwargs)

Creates sns plots. Pass **kwargs to sns.stripplot and sns.boxplot.

fig, ax = plt.subplots(figsize=(1.75, 2.5))

tidy_create_strip_box_plot(
    x="genotype",
    y="ratio_mean_int",
    data=df,
    ax=ax,
    y_axis_limit=4,
    y_label="PercevalHR 488/405\n(Relative ATP/ADP)",
    palette=["#95a5a6", "#95a5a6"],
)

tidy_create_swarm_box_plot[source]

tidy_create_swarm_box_plot(y_axis_start:int=0, y_axis_limit:int=None, y_label:str='set y label', **kwargs)

Creates sns plots. Pass **kwargs to sns.swarmplot and sns.boxplot.

grouped_df = (
    df.groupby(["genotype", "rep_id"]).agg({"ratio_mean_int": "mean"}).reset_index()
)

fig, ax = plt.subplots(figsize=(1.75, 2.5))

tidy_create_swarm_box_plot(
    x="genotype",
    y="ratio_mean_int",
    ax=ax,
    data=grouped_df,
    y_axis_limit=2.5,
    y_label="PercevalHR 488/405\n(Relative ATP/ADP)",
    palette=["#95a5a6", "#95a5a6"],
)

fig, ax = plt.subplots(figsize=(4.5, 2.5), ncols=2)

tidy_create_swarm_box_plot(
    x="genotype",
    y="ratio_mean_int",
    ax=ax[0],
    data=grouped_df,
    y_axis_limit=2.5,
    y_label="PercevalHR 488/405\n(Relative ATP/ADP)",
    palette=["#95a5a6", "#95a5a6"],
)

tidy_create_strip_box_plot(
    x="genotype",
    y="ratio_mean_int",
    ax=ax[1],
    data=df,
    y_axis_limit=4,
    y_label="PercevalHR 488/405\n(Relative ATP/ADP)",
    palette=["#95a5a6", "#95a5a6"],
)
plt.tight_layout()