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Lars Bogner
2025-11-05 08:43:18 +01:00
parent 6466f07935
commit e6f4a7369f
11 changed files with 314 additions and 128 deletions
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notebooks/00_breast-cancer-exploration.ipynb
+11 -7
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@@ -586,8 +586,10 @@
}
],
"source": [
"data = pd.DataFrame(load_breast_cancer().data, columns=load_breast_cancer().feature_names)\n",
"data['target'] = load_breast_cancer().target\n",
"data = pd.DataFrame(\n",
" load_breast_cancer().data, columns=load_breast_cancer().feature_names\n",
")\n",
"data[\"target\"] = load_breast_cancer().target\n",
"data.head()"
]
},
@@ -619,7 +621,7 @@
}
],
"source": [
"ax = sns.countplot(x='target', data=data)\n",
"ax = sns.countplot(x=\"target\", data=data)\n",
"ax.set_title(\"Type of Tumors (Malignant/Benign)\")"
]
},
@@ -683,14 +685,16 @@
}
],
"source": [
"df = data.melt(id_vars='target', var_name='feature', value_name='value')\n",
"df = data.melt(id_vars=\"target\", var_name=\"feature\", value_name=\"value\")\n",
"\n",
"GROUP_SIZE = 10\n",
"for start in range(0, len(load_breast_cancer().feature_names), GROUP_SIZE):\n",
" end = start + GROUP_SIZE\n",
" subset = df[df['feature'].isin(load_breast_cancer().feature_names[start:end])]\n",
" sns.violinplot(x='feature', y='value', hue='target', data=subset, split=True, inner='quart')\n",
" plt.xticks(rotation=45, ha='right')\n",
" subset = df[df[\"feature\"].isin(load_breast_cancer().feature_names[start:end])]\n",
" sns.violinplot(\n",
" x=\"feature\", y=\"value\", hue=\"target\", data=subset, split=True, inner=\"quart\"\n",
" )\n",
" plt.xticks(rotation=45, ha=\"right\")\n",
" plt.tight_layout()\n",
" plt.savefig(f\"violin_plot_features_{start}.pdf\")\n",
"\n",