A new paper from Tatone et. al. is published here. Using the data of the authors, following violin graph is drawn to estimate Modulus Ratio (MR = E / UCS) of the different rocks. Update: Aly Abdelaziz has proposed an update on the code and graph. Thanks to him, it looks better now. Code and data are in the Github Gist.
# Data from Tatone, B. S., Abdelaziz, A., & Grasselli, G. (2022). Novel Mechanical Classification Method of Rock Based on the Uniaxial Compressive Strength and Brazilian Disc Strength. Rock Mechanics and Rock Engineering, 1-5. import pandas as pd import seaborn as sns # Rock Category rock_type = {"Sedimentary": ["SL", "SSh", "SS", "SC"], "Metamorphic": ["MG", "MS", "MQ", "MM"], "Igneous": ["IG", "IF", "ID"]} ordered_box_list = [] for i, v in rock_type.items(): ordered_box_list += v df = pd.read_csv("data.csv") df = df[df.E != "-"] df = df.astype({"E": float, "UCS": float}) df["MR"] = df["E"] / df["UCS"] * 1000 sns.set(rc={"figure.figsize": (20, 8.27), "figure.dpi": 300}) ax = sns.violinplot(x="Type", y="MR", data=df, order=ordered_box_list) ax.set_ylim(0) The data.csv file can be saved from here or from Gist. [[Notion/Quick Note/BDEM (1)/Blog Posts/_assets/data.csv]]