Dotplot with mean value with black bar.

dotplot_meanbar.py

import matplotlib.pyplot as plt
import pands as pd

df = pd.read_csv("./data/230119_df_Bernard_Thienpont.csv")

# CellType	Sample	SampleType	Values
# 0	NK_T	1	Tumor	0.007453
# 1	NK_T	4	Tumor	0.018171
# 2	NK_T	5	Tumor	0.052632
# 3	NK_T	6	Normal	0.151292
# 4	NK_T	8	Tumor	0.025943
# ...	...	...	...	...
# 71	T_reg	20	Tumor	0.042694
# 72	T_reg	21	Tumor	0.019444
# 73	T_reg	22	Tumor	0.014368
# 74	T_reg	23	Tumor	0.023204
# 75	T_reg	24	Normal	0.023416
# 76 rows × 4 columns

# Plotting

data = df[df["CellType"] == "NK_T"]

fig, ax = plt.subplots(figsize=(4, 6))
ax = sns.stripplot(
    x="SampleType",
    y="Values",
    # hue='SampleType',
    data=data,
    size=4,
    color=".7",
)

# plt.xticks(rotation=45, ha="right")
# p.set(yscale='log')

# plot the mean line
sns.boxplot(
    showmeans=True,
    meanline=True,
    meanprops={"color": "k", "ls": "-", "lw": 2},
    medianprops={"visible": False},
    whiskerprops={"visible": False},
    zorder=10,
    x="SampleType",
    y="Values",
    # hue='SampleType',
    data=data,
    showfliers=False,
    showbox=False,
    showcaps=False,
    ax=ax,
)

ax.set_ylabel("")
ax.set_xlabel("NK T-cell")
plt.show()