Notebook

The use of προσκυνέω (Nestle1904LFT)¶

Work in progress!

Table of content ¶

1 - Introduction
- 1.1 - Why is this relevant?
- 1.2 - Translating into Text-Fabric queries
2 - Load Text-Fabric app and data
3 - Performing the queries
4 - Discussion
5 - Atribution and footnotes
6 - Required libraries

1 - Introduction ¶

Back to TOC ¶

In this Jupyter NoteBook we will examine the use of lemma προσκυνέω in the Greek New Testament.

1.1 - Why is this relevant? ¶

There is an ongoing debate whether προσκυνέω must mean "worship" in a divine sense, especialy when it refers to Jesus or God. The word can refer to homage or respect given to people in authority (see also entry in Liddel-Scott-Jones Greek-English Lexion). So verses that refer to Jesus receiving προσκυνέω may not always prove worship of him as God. The meaning depends on context.

1.2 - Translating into Text-Fabric queries ¶

Back to TOC ¶

The following examples gather data related to the use of προσκυνέω using various methods and present the results in different ways.

2 - Load Text-Fabric app and data ¶

Back to TOC ¶

In [1]:

%load_ext autoreload
%autoreload 2

In [1]:

# Loading the Text-Fabric code
# Note: it is assumed Text-Fabric is installed in your environment
from tf.fabric import Fabric
from tf.app import use

In [3]:

# load the N1904 app and data
N1904 = use ("tonyjurg/Nestle1904LFT", version="0.6", hoist=globals())

Locating corpus resources ...

The requested app is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app not found

Status: latest release online v0.6 versus None locally

downloading app, main data and requested additions ...

app: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/app

The requested data is not available offline
	~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6 not found

Status: latest release online v0.6 versus None locally

downloading app, main data and requested additions ...

data: ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6

   |     0.19s T otype                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     2.41s T oslots               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.58s T wordtranslit         from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T chapter              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.60s T normalized           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T after                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.59s T word                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.47s T verse                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.60s T book                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.59s T wordunacc            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.62s T unicode              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |      |     0.06s C __levels__           from otype, oslots, otext
   |      |     1.84s C __order__            from otype, oslots, __levels__
   |      |     0.07s C __rank__             from otype, __order__
   |      |     3.33s C __levUp__            from otype, oslots, __rank__
   |      |     1.89s C __levDown__          from otype, __levUp__, __rank__
   |      |     0.22s C __characters__       from otext
   |      |     0.94s C __boundary__         from otype, oslots, __rank__
   |      |     0.04s C __sections__         from otype, oslots, otext, __levUp__, __levels__, book, chapter, verse
   |      |     0.24s C __structure__        from otype, oslots, otext, __rank__, __levUp__, book, chapter, verse
   |     0.44s T booknumber           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T bookshort            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T case                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.33s T clausetype           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.56s T containedclause      from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T degree               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.58s T gloss                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.47s T gn                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.04s T headverse            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.33s T junction             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.56s T lemma                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.51s T lex_dom              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.54s T ln                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markafter            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markbefore           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.41s T markorder            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.45s T monad                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T mood                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s T morph                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.55s T nodeID               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T nu                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T number               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.43s T person               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T punctuation          from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.69s T ref                  from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.66s T reference            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T roleclausedistance   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.48s T sentence             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s T sp                   from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T sp_full              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s T strongs              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T subj_ref             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.44s T tense                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.47s T type                 from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.46s T voice                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.40s T wgclass              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.34s T wglevel              from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.37s T wgnum                from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.35s T wgrole               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.35s T wgrolelong           from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.39s T wgrule               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.34s T wgtype               from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.50s T wordlevel            from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.49s T wordrole             from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6
   |     0.52s T wordrolelong         from ~/text-fabric-data/github/tonyjurg/Nestle1904LFT/tf/0.6

TF: TF API 12.1.5, tonyjurg/Nestle1904LFT/app v3, Search Reference
Data: tonyjurg - Nestle1904LFT 0.6, Character table, Feature docs

Node types

Name	# of nodes	# slots / node	% coverage
book	27	5102.93	100
chapter	260	529.92	100
verse	7943	17.35	100
sentence	8011	17.20	100
wg	105430	6.85	524
word	137779	1.00	100

Sets: no custom sets
Features:

Nestle 1904 (Low Fat Tree)

after

str

✅ Characters (eg. punctuations) following the word

book

str

✅ Book name (in English language)

booknumber

int

✅ NT book number (Matthew=1, Mark=2, ..., Revelation=27)

bookshort

str

✅ Book name (abbreviated)

case

str

✅ Gramatical case (Nominative, Genitive, Dative, Accusative, Vocative)

chapter

int

✅ Chapter number inside book

clausetype

str

✅ Clause type details (e.g. Verbless, Minor)

containedclause

str

🆗 Contained clause (WG number)

degree

str

✅ Degree (e.g. Comparitative, Superlative)

gloss

str

✅ English gloss

str

✅ Gramatical gender (Masculine, Feminine, Neuter)

headverse

str

✅ Start verse number of a sentence

junction

str

✅ Junction data related to a wordgroup

lemma

str

✅ Lexeme (lemma)

lex_dom

str

✅ Lexical domain according to Semantic Dictionary of Biblical Greek, SDBG (not present everywhere?)

str

✅ Lauw-Nida lexical classification (not present everywhere?)

markafter

str

🆗 Text critical marker after word

markbefore

str

🆗 Text critical marker before word

markorder

str

Order of punctuation and text critical marker

monad

int

✅ Monad (smallest token matching word order in the corpus)

mood

str

✅ Gramatical mood of the verb (passive, etc)

morph

str

✅ Morphological tag (Sandborg-Petersen morphology)

nodeID

str

✅ Node ID (as in the XML source data)

normalized

str

✅ Surface word with accents normalized and trailing punctuations removed

str

✅ Gramatical number (Singular, Plural)

number

str

✅ Gramatical number of the verb (e.g. singular, plural)

otype

str

person

str

✅ Gramatical person of the verb (first, second, third)

punctuation

str

✅ Punctuation after word

ref

str

✅ Value of the ref ID (taken from XML sourcedata)

reference

str

✅ Reference (to nodeID in XML source data, not yet post-processes)

roleclausedistance

str

⚠️ Distance to the wordgroup defining the syntactical role of this word

sentence

int

✅ Sentence number (counted per chapter)

str

✅ Part of Speech (abbreviated)

sp_full

str

✅ Part of Speech (long description)

strongs

str

✅ Strongs number

subj_ref

str

🆗 Subject reference (to nodeID in XML source data, not yet post-processes)

tense

str

✅ Gramatical tense of the verb (e.g. Present, Aorist)

type

str

✅ Gramatical type of noun or pronoun (e.g. Common, Personal)

unicode

str

✅ Word as it apears in the text in Unicode (incl. punctuations)

verse

int

✅ Verse number inside chapter

voice

str

✅ Gramatical voice of the verb (e.g. active,passive)

wgclass

str

✅ Class of the wordgroup (e.g. cl, np, vp)

wglevel

int

🆗 Number of the parent wordgroups for a wordgroup

wgnum

int

✅ Wordgroup number (counted per book)

wgrole

str

✅ Syntactical role of the wordgroup (abbreviated)

wgrolelong

str

✅ Syntactical role of the wordgroup (full)

wgrule

str

✅ Wordgroup rule information (e.g. Np-Appos, ClCl2, PrepNp)

wgtype

str

✅ Wordgroup type details (e.g. group, apposition)

word

str

✅ Word as it appears in the text (excl. punctuations)

wordlevel

str

🆗 Number of the parent wordgroups for a word

wordrole

str

✅ Syntactical role of the word (abbreviated)

wordrolelong

str

✅ Syntactical role of the word (full)

wordtranslit

str

🆗 Transliteration of the text (in latin letters, excl. punctuations)

wordunacc

str

✅ Word without accents (excl. punctuations)

oslots

none

Settings:

specified

apiVersion: 3
appName: tonyjurg/Nestle1904LFT
appPath:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/app
commit: no value
css: ''
dataDisplay:
- excludedFeatures:
  - orig_order
  - verse
  - book
  - chapter
- noneValues:
  - none
  - unknown
  - no value
  - NA
  - ''
- showVerseInTuple: 0
- textFormat: text-orig-full
docs:
- docBase: https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/
- docPage: about
- docRoot: https://github.com/tonyjurg/Nestle1904LFT
- featureBase:
  https://github.com/tonyjurg/Nestle1904LFT/blob/main/docs/features/<feature>.md
interfaceDefaults: {fmt: layout-orig-full}
isCompatible: True
local: no value
localDir:
C:/Users/tonyj/text-fabric-data/github/tonyjurg/Nestle1904LFT/_temp
provenanceSpec:
- corpus: Nestle 1904 (Low Fat Tree)
- doi: notyet
- org: tonyjurg
- relative: /tf
- repo: Nestle1904LFT
- repro: Nestle1904LFT
- version: 0.6
- webBase: https://learner.bible/text/show_text/nestle1904/
- webHint: Show this on the Bible Online Learner website
- webLang: en
- webUrl:
  https://learner.bible/text/show_text/nestle1904/<1>/<2>/<3>
- webUrlLex: {webBase}/word?version={version}&id=<lid>
release: no value
typeDisplay:
- book:
  - condense: True
  - hidden: True
  - label: {book}
  - style: ''
- chapter:
  - condense: True
  - hidden: True
  - label: {chapter}
  - style: ''
- sentence:
  - hidden: 0
  - label: #{sentence} (start: {book} {chapter}:{headverse})
  - style: ''
- verse:
  - condense: True
  - excludedFeatures: chapter verse
  - label: {book} {chapter}:{verse}
  - style: ''
- wg:
  - hidden: 0
  - label:
    #{wgnum}: {wgtype} {wgclass} {clausetype} {wgrole} {wgrule} {junction}
  - style: ''
- word:
  - base: True
  - features: lemma
  - featuresBare: gloss
  - surpress: chapter verse
writing: grc

TF API: names N F E L T S C TF Fs Fall Es Eall Cs Call directly usable

In [4]:

# The following will push the Text-Fabric stylesheet to this notebook (to facilitate proper display with notebook viewer)
N1904.dh(N1904.getCss())

In [5]:

# Set default view in a way to limit noise as much as possible.
N1904.displaySetup(condensed=True, multiFeatures=False, queryFeatures=False)

3 - Performing the queries ¶

Back to TOC ¶

3.1 - Determine the renderings of προσκυνέω ¶

Back to TOC ¶

This code will produce a list of occurrences of the lemma 'προσκυνέω' along with their accompanying gloss.

In [6]:

# Library to format table
from tabulate import tabulate

# Gather the results
Results=[]
for node in F.lemma.s('προσκυνέω'):
    # Following line creates a nicely formated presentation of the verse
    location="{} {}:{}".format(F.book.v(node),F.chapter.v(node),F.verse.v(node))
    result=(location,F.word.v(node),F.gloss.v(node))
    Results.append(result)
    
# Produce the table
headers = ["location","word","gloss"]
print(tabulate(Results, headers=headers, tablefmt='fancy_grid'))

╒═════════════════════╤═════════════════╤═════════════════════════╕
│ location            │ word            │ gloss                   │
╞═════════════════════╪═════════════════╪═════════════════════════╡
│ Matthew 2:2         │ προσκυνῆσαι     │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 2:8         │ προσκυνήσω      │ may worship             │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 2:11        │ προσεκύνησαν    │ they worshiped          │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 4:9         │ προσκυνήσῃς     │ You will worship        │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 4:10        │ προσκυνήσεις    │ you shall worship       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 8:2         │ προσεκύνει      │ was worshipping         │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 9:18        │ προσεκύνει      │ was kneeling down       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 14:33       │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 15:25       │ προσεκύνει      │ she was worshiping      │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 18:26       │ προσεκύνει      │ was bowing on his knees │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 20:20       │ προσκυνοῦσα     │ kneeling down           │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 28:9        │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Matthew 28:17       │ προσεκύνησαν    │ they worshiped          │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Mark 5:6            │ προσεκύνησεν    │ fell on his knees       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Mark 15:19          │ προσεκύνουν     │ they were kneeling down │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Luke 4:7            │ προσκυνήσῃς     │ You will worship        │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Luke 4:8            │ Προσκυνήσεις    │ You shall worship       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Luke 24:52          │ προσκυνήσαντες  │ having worshiped        │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:20           │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:20           │ προσκυνεῖν      │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:21           │ προσκυνήσετε    │ will you worship        │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:22           │ προσκυνεῖτε     │ worship                 │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:22           │ προσκυνοῦμεν    │ worship                 │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:23           │ προσκυνήσουσιν  │ will worship            │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:23           │ προσκυνοῦντας   │ worship                 │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:24           │ προσκυνοῦντας   │ worshiping              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 4:24           │ προσκυνεῖν      │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 9:38           │ προσεκύνησεν    │ he worshiped            │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ John 12:20          │ προσκυνήσωσιν   │ they might worship      │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Acts 7:43           │ προσκυνεῖν      │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Acts 8:27           │ προσκυνήσων     │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Acts 10:25          │ προσεκύνησεν    │ worshiped [him]         │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Acts 24:11          │ προσκυνήσων     │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ I_Corinthians 14:25 │ προσκυνήσει     │ he will worship         │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Hebrews 1:6         │ προσκυνησάτωσαν │ let worship             │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Hebrews 11:21       │ προσεκύνησεν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 3:9      │ προσκυνήσουσιν  │ will worship            │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 4:10     │ προσκυνήσουσιν  │ they will worship       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 5:14     │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 7:11     │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 9:20     │ προσκυνήσουσιν  │                         │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 11:1     │ προσκυνοῦντας   │ worshiping              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 11:16    │ προσεκύνησαν    │ worshiped               │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 13:4     │ προσεκύνησαν    │ they worshiped          │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 13:4     │ προσεκύνησαν    │ they worshiped          │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 13:8     │ προσκυνήσουσιν  │ will worship            │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 13:12    │ προσκυνήσουσιν  │ they will worship       │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 13:15    │ προσκυνήσωσιν   │ would worship           │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 14:7     │ προσκυνήσατε    │ worship                 │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 14:9     │ προσκυνεῖ       │ worships                │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 14:11    │ προσκυνοῦντες   │ worshiping              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 15:4     │ προσκυνήσουσιν  │ will worship            │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 16:2     │ προσκυνοῦντας   │ worshiping              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 19:4     │ προσεκύνησαν    │ they worshiped          │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 19:10    │ προσκυνῆσαι     │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 19:10    │ προσκύνησον     │ worship                 │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 19:20    │ προσκυνοῦντας   │ worshiping              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 20:4     │ προσεκύνησαν    │                         │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 22:8     │ προσκυνῆσαι     │ to worship              │
├─────────────────────┼─────────────────┼─────────────────────────┤
│ Revelation 22:9     │ προσκύνησον     │ worship                 │
╘═════════════════════╧═════════════════╧═════════════════════════╛

3.2 - Alternative way of coding ¶

Back to TOC ¶

Note that the the following line of code in previous example:

   for node in F.lemma.s('προσκυνέω'):
       {rest of the code}

is functionaly equivalent to this three line of code:

    for node in F.otype.s('word'):
        lemma=F.lemma.v(node)
        if lemma == 'προσκυνέω':
            {rest of the code}

3.3 - Using a search template ¶

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The same selection can also be made using a search template. Note that the number of results (56) differs from the previous code(59). The reasone is that here the selection is on clause and in the previous code on words. (John 4:23&24 and Revelation 13:4 and 19:10 have duplicate occurances of lemma προσκυνέω).

In [7]:

SearchWorship = '''
book 
  chapter
     verse
       wg
         word lemma=προσκυνέω gloss
'''

# This will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query
WorshipList = N1904.search(SearchWorship)

  0.17s 242 results

The resulting data (stored in WorshipList) can be further processed. For example to print the first 5 occurences in a table:

In [8]:

N1904.table(WorshipList, condensed=True, end=5)

n	p	wg (+1)	wg	wg	wg	word (+1)	wg	wg	wg (+1)
1	Matthew 2:2	λέγοντες Ποῦ ἐστιν ὁ τεχθεὶς βασιλεὺς τῶν Ἰουδαίων; εἴδομεν γὰρ αὐτοῦ τὸν ἀστέρα ἐν τῇ ἀνατολῇ καὶ ἤλθομεν προσκυνῆσαι αὐτῷ.	Ποῦ ἐστιν ὁ τεχθεὶς βασιλεὺς τῶν Ἰουδαίων; εἴδομεν γὰρ αὐτοῦ τὸν ἀστέρα ἐν τῇ ἀνατολῇ καὶ ἤλθομεν προσκυνῆσαι αὐτῷ.	εἴδομεν γὰρ αὐτοῦ τὸν ἀστέρα ἐν τῇ ἀνατολῇ καὶ ἤλθομεν προσκυνῆσαι αὐτῷ.	εἴδομεν αὐτοῦ τὸν ἀστέρα ἐν τῇ ἀνατολῇ καὶ ἤλθομεν προσκυνῆσαι αὐτῷ.	καὶ ἤλθομεν προσκυνῆσαι αὐτῷ.	ἤλθομεν προσκυνῆσαι αὐτῷ.	προσκυνῆσαι αὐτῷ.	προσκυνῆσαι
2	Matthew 2:8	προσκυνήσω	ἐπὰν δὲ εὕρητε, ἀπαγγείλατέ μοι, ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	ἐπὰν εὕρητε, ἀπαγγείλατέ μοι, ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	καὶ πέμψας αὐτοὺς εἰς Βηθλέεμ εἶπεν· Πορευθέντες ἐξετάσατε ἀκριβῶς περὶ τοῦ παιδίου· ἐπὰν δὲ εὕρητε, ἀπαγγείλατέ μοι, ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	πέμψας αὐτοὺς εἰς Βηθλέεμ εἶπεν· Πορευθέντες ἐξετάσατε ἀκριβῶς περὶ τοῦ παιδίου· ἐπὰν δὲ εὕρητε, ἀπαγγείλατέ μοι, ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.	Πορευθέντες ἐξετάσατε ἀκριβῶς περὶ τοῦ παιδίου· ἐπὰν δὲ εὕρητε, ἀπαγγείλατέ μοι, ὅπως κἀγὼ ἐλθὼν προσκυνήσω αὐτῷ.
3	Matthew 2:11	καὶ ἐλθόντες εἰς τὴν οἰκίαν εἶδον τὸ παιδίον μετὰ Μαρίας τῆς μητρὸς αὐτοῦ, καὶ πεσόντες προσεκύνησαν αὐτῷ, καὶ ἀνοίξαντες τοὺς θησαυροὺς αὐτῶν προσήνεγκαν αὐτῷ δῶρα, χρυσὸν καὶ λίβανον καὶ σμύρναν.	ἐλθόντες εἰς τὴν οἰκίαν εἶδον τὸ παιδίον μετὰ Μαρίας τῆς μητρὸς αὐτοῦ, καὶ πεσόντες προσεκύνησαν αὐτῷ, καὶ ἀνοίξαντες τοὺς θησαυροὺς αὐτῶν προσήνεγκαν αὐτῷ δῶρα, χρυσὸν καὶ λίβανον καὶ σμύρναν.	καὶ πεσόντες προσεκύνησαν αὐτῷ,	πεσόντες προσεκύνησαν αὐτῷ,	προσεκύνησαν
4	Matthew 4:9	πεσὼν προσκυνήσῃς μοι.	καὶ εἶπεν αὐτῷ Ταῦτά σοι πάντα δώσω, ἐὰν πεσὼν προσκυνήσῃς μοι.	εἶπεν αὐτῷ Ταῦτά σοι πάντα δώσω, ἐὰν πεσὼν προσκυνήσῃς μοι.	Ταῦτά σοι πάντα δώσω, ἐὰν πεσὼν προσκυνήσῃς μοι.	προσκυνήσῃς	ἐὰν πεσὼν προσκυνήσῃς μοι.
5	Matthew 4:10	γέγραπται γάρ Κύριον τὸν θεόν σου προσκυνήσεις καὶ αὐτῷ μόνῳ λατρεύσεις.	γέγραπται Κύριον τὸν θεόν σου προσκυνήσεις καὶ αὐτῷ μόνῳ λατρεύσεις.	Κύριον τὸν θεόν σου προσκυνήσεις καὶ αὐτῷ μόνῳ λατρεύσεις.	Κύριον τὸν θεόν σου προσκυνήσεις	προσκυνήσεις

3.4 - What is being 'προσκυνέω-ed'? ¶

Back to TOC ¶

this section needs rework!

A more interesting query is to print all occurences of the lemma προσκυνέω while adding the object of προσκυνέω.

This query is using a number of Locality functions from the Text-Fabric API. The following diagram shows the concept.

In [9]:

for node in F.lemma.s('προσκυνέω'):
     gloss=F.gloss.v(node)
     # Following line creates a nicely formated presentation of the verse
     location="{} {}:{}".format(F.book.v(node),F.chapter.v(node),F.verse.v(node))
     print('\n',location)
        
     # This finds the parrent clause
     ParrentClause= L.u(node,'wg')[0]
     # Create a list of phrases included in the ParrentClause
     PhraseList=L.d(ParrentClause,'wg')
     for phrase in PhraseList:
         # check for the phrase containing the object
         object_text=object_gloss=''
         if F.phrasefunction.v(wg)=='O':
            WordList=L.d(phrase, 'word')
            for word in WordList:
               object_text=object_text+F.word.v(word)+' '
               object_gloss=object_gloss+F.gloss_EN.v(word)+' '
            break
    
     # print the result
     print('\tGreek:',F.word.v(node),' - ',object_text,'\n\tGloss:',F.gloss_EN.v(node),' - ',object_gloss)

 Matthew 2:2

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[9], line 22
     19        break
     21 # print the result
---> 22 print('\tGreek:',F.word.v(node),' - ',object_text,'\n\tGloss:',F.gloss_EN.v(node),' - ',object_gloss)

NameError: name 'object_text' is not defined

3.5 - Pie chart showing the renderings ¶

Back to TOC ¶

The next code generates a pie diagram showing the distribution of renderings of the word προσκυνέω. The grouping is basicly along 'kneeling' and 'worshipping'. When the rendering does not match one of these, it is counted as 'other'. In terms of coding, in this example, we first import the matplotlib.pyplot module. Then, we define the data for our pie chart: labels and results. Additionally, a legend will be included.

In [10]:

import matplotlib.pyplot as plt

worship=knee=other=0

# This section can also be implemented using a different method (see below) 
for node in F.otype.s('word'):
    lemma=F.lemma.v(node)
    if lemma == 'προσκυνέω':
       gloss=F.gloss.v(node)
       if 'worship' in gloss: 
          worship+=1
       else:
          if 'knee' in gloss: 
             knee+=1
          else:
             other+=1

# Dataset for the plot
labels = ['Worship', 'Kneeling', 'Other']
results = [worship, knee, other]

# create the pie chart with percentage and number of occurances
explode = [0.1,0.1,0.1] # To slice the perticuler section
plt.pie(results, 
        labels=labels, 
        explode = explode,
        autopct=lambda pct: f'{pct:.1f}%\n({int(pct / 100 * sum(results)+0.5)})', 
        # The addition of 0.5 in the lambda function is to prevent rounding errors by the int() function.
        textprops={'color': 'black'})

# add a title to the pie chart
plt.title('Renderings of προσκυνέω')

# Add a legend to the pie chart
plt.legend(title="English renderings",
          loc="center left",
          bbox_to_anchor=(1.5, 0, 1, 1))

# Show plot
plt.show()

Alternatively the first part of this section could be implemented by means of a search function:

In [11]:

# Define the query template
ProskuneoQuery = '''
word lemma=προσκυνέω
'''

# This will create a list containing ordered tuples consisting of node numbers of the items as they appear in the query
ProskuneoResult = N1904.search(ProskuneoQuery)

worship=knee=other=0
for NodeTuple in ProskuneoResult:
    # The query result will be a list of node tuple. Hence we need to add index [0].
    gloss=F.gloss.v(NodeTuple[0])
    if 'worship' in gloss: 
       worship+=1
    else:
        if 'knee' in gloss: 
            knee+=1
        else:
            other+=1

# Print to compare the results
print ('worship=',worship,' knee=',knee,' other=',other)    

  0.08s 60 results
worship= 53  knee= 5  other= 2

4 - Discussion ¶

Back to TOC ¶

TBA

5 - Attribution and footnotes ¶

Back to TOC ¶

N.A.

6 - Required libraries ¶

Back to TOC ¶

The scripts in this notebook require (beside text-fabric) the following Python libraries to be installed in the environment:

???

You can install any missing library from within Jupyter Notebook using eitherpip or pip3.

The use of προσκυνέω (Nestle1904LFT)¶

Table of content ¶

1 - Introduction ¶

1.1 - Why is this relevant? ¶

1.2 - Translating into Text-Fabric queries ¶

2 - Load Text-Fabric app and data ¶

3 - Performing the queries ¶

3.1 - Determine the renderings of προσκυνέω ¶

3.2 - Alternative way of coding ¶

3.3 - Using a search template ¶

3.4 - What is being 'προσκυνέω-ed'? ¶

3.5 - Pie chart showing the renderings ¶

4 - Discussion¶

5 - Attribution and footnotes¶

6 - Required libraries ¶

4 - Discussion ¶

5 - Attribution and footnotes ¶