Matplotlib boxplot using precalculated (summary) statistics

Question

I need to do a boxplot (in Python and matplotlib) but I do not have the original \"raw\" data. What I have are precalculated values for max, min, mean, median and IQR (norma

Answer 1

Referring to the answer of @MKroehnert and Boxplot drawer function at https://matplotlib.org/gallery/statistics/bxp.html, the following could be helpful:

import matplotlib.pyplot as plt

stats = [{
    "label": 'A',  # not required
    "mean":  5,  # not required
    "med": 5.5,
    "q1": 3.5,
    "q3": 7.5,
    # "cilo": 5.3 # not required
    # "cihi": 5.7 # not required
    "whislo": 2.0,  # required
    "whishi": 8.0,  # required
    "fliers": []  # required if showfliers=True
    }]

fs = 10  # fontsize

fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(6, 6), sharey=True)
axes.bxp(stats)
axes.set_title('Boxplot for precalculated statistics', fontsize=fs)
plt.show()