Answering https://stackoverflow.com/questions/57869538/convert-a-tens…

…or-axis-into-strings-and-concatenate-the-axis-reshaping-the-tensor/57870741#57870741

.ipynb_checkpoints/keras_list_string-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

keras_list_string.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[4, [22, 16, 11, 33], 24],\n",
+       " [4, [12, 33, 87, 17], 14],\n",
+       " [3, [92, 407, 25, 27], 34]]"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "a = [\n",
+    "  [4, [22, 16,  11, 33], 24],\n",
+    "  [4, [12, 33,  87, 17], 14],\n",
+    "  [3, [92, 407, 25, 27], 34]\n",
+    "]\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "column1 = list(zip(*a))[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['22|16|11|33', '12|33|87|17', '92|407|25|27']"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "newColumn1 = ['|'.join(str(e) for e in row) for row in column1]\n",
+    "newColumn1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(4, 4, 3), ['22|16|11|33', '12|33|87|17', '92|407|25|27'], (24, 14, 34)]"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b =  list(zip(*a))\n",
+    "b[1] = newColumn1\n",
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(4, '22|16|11|33', 24), (4, '12|33|87|17', 14), (3, '92|407|25|27', 34)]"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a2 =  list(zip(*b))\n",
+    "a2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

keras_list_string.py

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+# Imagine you have a output layer like this:
+a = [
+  [4, [22, 16,  11, 33], 24],
+  [4, [12, 33,  87, 17], 14],
+  [3, [92, 407, 25, 27], 34]
+]
+
+# "transpose" the list and get the second element
+column1 = list(zip(*a))[1]
+
+# Join all elements with |
+newColumn1 = ['|'.join(str(e) for e in row) for row in column1]
+
+# Put back the modified column
+b =  list(zip(*a))
+b[1] = newColumn1
+
+# "Untranspose" your list
+a2 =  list(zip(*b))
+