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Run black on all the notebooks

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- we use black's default settings
- some cells are NOT kept in black's format to:
  - increase readability
  - or show Python's flexibility with regard to style
This commit is contained in:
Alexander Hess 2024-07-15 12:07:47 +02:00
commit 51a5dcc8ee
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
6 changed files with 45 additions and 67 deletions
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26
03_classification/00_content.ipynb
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@ -518,17 +518,17 @@
],
"source": [
"feature_index = 2\n",
"colors = ['blue', 'red', 'green']\n",
"colors = [\"blue\", \"red\", \"green\"]\n",
"\n",
"for label, color in zip(range(len(iris.target_names)), colors):\n",
" plt.hist(\n",
" iris.data[iris.target==label, feature_index], \n",
" iris.data[iris.target == label, feature_index],\n",
" label=iris.target_names[label],\n",
" color=color,\n",
" )\n",
"\n",
"plt.xlabel(iris.feature_names[feature_index])\n",
"plt.legend(loc='upper right')\n",
"plt.legend(loc=\"upper right\")\n",
"plt.show()"
]
},
@ -559,19 +559,19 @@
"first_feature_index = 1\n",
"second_feature_index = 0\n",
"\n",
"colors = ['blue', 'red', 'green']\n",
"colors = [\"blue\", \"red\", \"green\"]\n",
"\n",
"for label, color in zip(range(len(iris.target_names)), colors):\n",
" plt.scatter(\n",
" iris.data[iris.target==label, first_feature_index], \n",
" iris.data[iris.target==label, second_feature_index],\n",
" iris.data[iris.target == label, first_feature_index],\n",
" iris.data[iris.target == label, second_feature_index],\n",
" label=iris.target_names[label],\n",
" c=color,\n",
" )\n",
"\n",
"plt.xlabel(iris.feature_names[first_feature_index])\n",
"plt.ylabel(iris.feature_names[second_feature_index])\n",
"plt.legend(loc='upper left')\n",
"plt.legend(loc=\"upper left\")\n",
"plt.show()"
]
},
@ -772,7 +772,9 @@
}
],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7, test_size=0.3, random_state=42, stratify=y)\n",
"X_train, X_test, y_train, y_test = train_test_split(\n",
" X, y, train_size=0.7, test_size=0.3, random_state=42, stratify=y\n",
")\n",
"\n",
"y_test"
]
@ -1040,12 +1042,12 @@
" X_test[incorrect_idx, first_feature_index],\n",
" X_test[incorrect_idx, second_feature_index],\n",
" color=\"darkred\",\n",
" label='misclassified',\n",
" label=\"misclassified\",\n",
")\n",
"\n",
"plt.xlabel('sepal width [cm]')\n",
"plt.ylabel('petal length [cm]')\n",
"plt.legend(loc='best')\n",
"plt.xlabel(\"sepal width [cm]\")\n",
"plt.ylabel(\"petal length [cm]\")\n",
"plt.legend(loc=\"best\")\n",
"plt.title(\"Iris Classification results\")\n",
"plt.show()"
]