import pandas as pd data = { "HITTERS": ["M. Betts", "aJ. Outman", "F. Freeman", "A. Barnes", "Y. Fernandez", "W. Smith", "L. Williams", "J.D. Martinez", "D. Avans", "M. Muncy", "D. Peralta", "C. Taylor", "E. Leonard", "T. Thompson", "J. Heyward", "M. Vargas", "J. Vivas", "M. Rojas", "K. Nevin"], "AB": [1, 2, 3, 2, 0, 2, 2, 4, 1, 2, 3, 2, 1, 1, 1, 3, 1, 2, 1], "R": [1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], "H": [1, 0, 2, 0, 0, 1, 0, 3, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0], "RBI": [1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 2, 0], "HR": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "BB": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 1, 0], "K": [0, 2, 1, 1, 0, 0, 0, 1, 1, 0, 2, 1, 1, 1, 1, 1, 1, 1, 0], "AVG": [0.278, 0.283, 0.316, 0.182, 0, 0.333, 0.152, 0.232, 0.2, 0.304, 0.143, 0.158, 0.375, 0.086, 0.2, 0.25, 0.238, 0.283, 0], "OBP": [0.364, 0.391, 0.372, 0.25, 0, 0.346, 0.204, 0.283, 0.342, 0.418, 0.273, 0.294, 0.4, 0.273, 0.273, 0.389, 0.333, 0.353, 0], "SLG": [0.778, 0.566, 0.605, 0.227, 0, 0.458, 0.391, 0.375, 0.3, 0.587, 0.286, 0.333, 0.542, 0.143, 0.36, 0.386, 0.333, 0.478, 0], } df = pd.DataFrame(data) import matplotlib.pyplot as plt def plot_top_players(metric, title): top_players = df.nlargest(5, metric).sort_values(by=metric, ascending=True) plt.barh(top_players["HITTERS"], top_players[metric]) plt.xlabel(metric) plt.title(title) plt.show() # Top 5 hitters by AVG plot_top_players("AVG", "Top 5 Hitters by AVG") # Top 5 hitters by OBP plot_top_players("OBP", "Top 5 Hitters by OBP")