mirror of
https://github.com/Andreaierardi/Master-DataScience-Notes.git
synced 2024-06-27 16:10:14 +02:00
updating nb
This commit is contained in:
Andreaierardi
parent
7d9b8b136a
commit
40b3859547
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@ -18241,54 +18241,24 @@
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},
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{
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"cell_type": "code",
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"execution_count": 307,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"ename": "AttributeError",
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"evalue": "'numpy.ndarray' object has no attribute 'columns'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-307-3c3b11e00e9d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Import tools needed for visualization\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mfeature_list\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfeatures\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtree\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mexport_graphviz\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpydot\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mAttributeError\u001b[0m: 'numpy.ndarray' object has no attribute 'columns'"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Import tools needed for visualization\n",
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"\n",
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"feature_list = list(features.columns)\n",
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"from sklearn.tree import export_graphviz\n",
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"import pydot\n",
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"rf_small = RandomForestRegressor(n_estimators=10, max_depth = 3)\n",
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"rf_small.fit(train_features, train_labels)# Extract the small tree\n",
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"tree_small = rf_small.estimators_[5]# Save the tree as a png image\n",
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"export_graphviz(tree_small, out_file = 'small_tree.dot', feature_names = list(df_hubei.columns), rounded = True, precision = 1)\n",
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"#feature_list = list(df_hubei.columns[0])\n",
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"#from sklearn.tree import export_graphviz\n",
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"#import pydot\n",
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"#rf_small = RandomForestRegressor(n_estimators=10, max_depth = 3)\n",
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"#rf_small.fit(train_features, train_labels)# Extract the small tree\n",
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"#tree_small = rf_small.estimators_[5]# Save the tree as a png image\n",
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"#export_graphviz(tree_small, out_file = 'small_tree.dot', feature_names = [\"Values\"], rounded = True, precision = 1)\n",
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"\n",
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"(graph, ) = pydot.graph_from_dot_file('small_tree.dot')\n",
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"graph.write_png('small_tree.png');"
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"#(graph, ) = pydot.graph_from_dot_file('small_tree.dot')\n",
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"#graph.write_png('small_tree.png');"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 311,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Values', 'Lags']"
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]
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},
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"execution_count": 311,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -18317,5 +18287,5 @@
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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},
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{
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"cell_type": "code",
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"execution_count": 324,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"E:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:7: DataConversionWarning:\n",
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"\n",
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"A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
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"\n"
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]
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},
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{
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"ename": "FileNotFoundError",
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"evalue": "[WinError 2] \"dot\" not found in path.",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\site-packages\\pydot.py\u001b[0m in \u001b[0;36mcreate\u001b[1;34m(self, prog, format, encoding)\u001b[0m\n\u001b[0;32m 1914\u001b[0m \u001b[0marguments\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marguments\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1915\u001b[1;33m \u001b[0mworking_dir\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtmp_dir\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1916\u001b[0m )\n",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\site-packages\\pydot.py\u001b[0m in \u001b[0;36mcall_graphviz\u001b[1;34m(program, arguments, working_dir, **kwargs)\u001b[0m\n\u001b[0;32m 135\u001b[0m \u001b[0mstdout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msubprocess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPIPE\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 136\u001b[1;33m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 137\u001b[0m )\n",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\subprocess.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, encoding, errors, text)\u001b[0m\n\u001b[0;32m 774\u001b[0m \u001b[0merrread\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrwrite\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 775\u001b[1;33m restore_signals, start_new_session)\n\u001b[0m\u001b[0;32m 776\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\subprocess.py\u001b[0m in \u001b[0;36m_execute_child\u001b[1;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_start_new_session)\u001b[0m\n\u001b[0;32m 1177\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfspath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcwd\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mcwd\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32melse\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1178\u001b[1;33m startupinfo)\n\u001b[0m\u001b[0;32m 1179\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] Impossibile trovare il file specificato",
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"\nDuring handling of the above exception, another exception occurred:\n",
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"\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-324-662b42c7db8d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 11\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mgraph\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m)\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpydot\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgraph_from_dot_file\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'small_tree.dot'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 12\u001b[1;33m \u001b[0mgraph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite_png\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'small_tree.png'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m;\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\site-packages\\pydot.py\u001b[0m in \u001b[0;36mnew_method\u001b[1;34m(path, f, prog, encoding)\u001b[0m\n\u001b[0;32m 1732\u001b[0m self.write(\n\u001b[0;32m 1733\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprog\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mprog\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1734\u001b[1;33m encoding=encoding)\n\u001b[0m\u001b[0;32m 1735\u001b[0m \u001b[0mname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'write_{fmt}'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfmt\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfrmt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1736\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\site-packages\\pydot.py\u001b[0m in \u001b[0;36mwrite\u001b[1;34m(self, path, prog, format, encoding)\u001b[0m\n\u001b[0;32m 1815\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1816\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1817\u001b[1;33m \u001b[0ms\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcreate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprog\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1818\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mio\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'wb'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1819\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;32mE:\\ProgramData\\Anaconda3\\lib\\site-packages\\pydot.py\u001b[0m in \u001b[0;36mcreate\u001b[1;34m(self, prog, format, encoding)\u001b[0m\n\u001b[0;32m 1920\u001b[0m args[1] = '\"{prog}\" not found in path.'.format(\n\u001b[0;32m 1921\u001b[0m prog=prog)\n\u001b[1;32m-> 1922\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mOSError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1923\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1924\u001b[0m \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] \"dot\" not found in path."
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]
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}
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],
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"outputs": [],
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"source": [
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"# Import tools needed for visualization\n",
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"\n",
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"feature_list = list(df_hubei.columns[0])\n",
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"from sklearn.tree import export_graphviz\n",
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"import pydot\n",
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"rf_small = RandomForestRegressor(n_estimators=10, max_depth = 3)\n",
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"rf_small.fit(train_features, train_labels)# Extract the small tree\n",
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"tree_small = rf_small.estimators_[5]# Save the tree as a png image\n",
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"export_graphviz(tree_small, out_file = 'small_tree.dot', feature_names = [\"Values\"], rounded = True, precision = 1)\n",
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"#feature_list = list(df_hubei.columns[0])\n",
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"#from sklearn.tree import export_graphviz\n",
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"#import pydot\n",
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"#rf_small = RandomForestRegressor(n_estimators=10, max_depth = 3)\n",
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"#rf_small.fit(train_features, train_labels)# Extract the small tree\n",
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"#tree_small = rf_small.estimators_[5]# Save the tree as a png image\n",
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"#export_graphviz(tree_small, out_file = 'small_tree.dot', feature_names = [\"Values\"], rounded = True, precision = 1)\n",
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"\n",
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"(graph, ) = pydot.graph_from_dot_file('small_tree.dot')\n",
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"graph.write_png('small_tree.png');"
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"#(graph, ) = pydot.graph_from_dot_file('small_tree.dot')\n",
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"#graph.write_png('small_tree.png');"
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]
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},
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{
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@ -18319,5 +18287,5 @@
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 4
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}
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