"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"PhrasesDict = {}\n",
"for (wg,det,noun) in ArticulatedResult:\n",
" location=T.sectionFromNode(wg)\n",
" # Check if this location already exists in PhrasesDict\n",
" if location in PhrasesDict:\n",
" # If it exists, it is a duplicate: add the count to the existing value\n",
" PhrasesDict[location]+=1\n",
" else:\n",
" # If it doesn't exist, mark it down\n",
" PhrasesDict[location]=1\n",
" \n",
"# Convert the dictionary into a list of key-value pairs and sort it according to frequency\n",
"UnsortedTableData = [[key, value] for key, value in PhrasesDict.items()]\n",
"TableData= sorted(UnsortedTableData, key=lambda row: row[1], reverse=True)\n",
"\n",
"# In this example the table will be truncated \n",
"max_rows = 10 # Set your desired number of rows here\n",
"TruncatedTable = TableData[:max_rows]\n",
"\n",
"# Produce the table\n",
"headers = [\"verselocation\",\"Frequency\"]\n",
"print(tabulate(TruncatedTable, headers=headers, tablefmt='fancy_grid'))\n",
"\n",
"# Add a warning using markdown (API call A.dm) allowing it to be printed in bold type\n",
"N1904.dm(\"**Warning: table truncated!**\")"
]
},
{
"cell_type": "markdown",
"id": "c3440c98-f022-4e34-9bc1-b3eaaf4780b2",
"metadata": {},
"source": [
"The following will show the first result in a graph:\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "2b8d4f8b-aa24-46dd-8c87-81038d9ae69a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"verse 1"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"verse Matthew 1:2
sentence #2 (start: Matthew 1:2)