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๋ชฉ๋กํผ์ํ๋ ๊ทธ๋ ๊น์ง ํ์ดํ (1)
๐ฆ ๊ณต๋ฃก์ด ๋์!

fig, axes = plt.subplots(4, 3, figsize=(25, 15)) fig.suptitle('feature distributions per quality', fontsize= 40) for ax, col in zip(axes.flat, train.columns[1:]): sns.violinplot(x= 'quality', y= col, ax=ax, data=train) ax.set_title(col, fontsize=20) plt.tight_layout() plt.show() sns.color_palette("Set2") fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize = (30, 9)) scatter_fix = sns.histplot(data..
Data/Dacon
2021. 12. 10. 00:41