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gscharegschare
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Reorganize repo. Archive old projects, organized by issue where possible. Delete obselete scripts.
1 parent b7557c3 commit 48557a3

38 files changed

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‎check_update.py

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‎Continuity-Margins.ipynb ‎jupyter notebooks/Continuity-Margins.ipynb

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‎Jan30.ipynb ‎jupyter notebooks/Jan30.ipynb

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‎digital_manuscript.ipynb ‎jupyter notebooks/digital_manuscript.ipynb

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‎fieldnotes_testing.ipynb ‎jupyter notebooks/fieldnotes_testing.ipynb

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‎jupyter notebooks/search_testing.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from digital_manuscript import BnF"
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"manuscript = BnF()"
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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": 3,
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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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"'hello world'"
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]
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},
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"execution_count": 3,
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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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"manuscript.testfunc()"
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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": 4,
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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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"<recipe.Recipe at 0x2cb307a5fc8>"
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]
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},
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"execution_count": 4,
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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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"manuscript.entries['001r_1']"
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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": 27,
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"metadata": {},
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"outputs": [],
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"source": [
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"roses = manuscript.search(plant=['rose'])"
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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": 28,
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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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"['116r_4',\n",
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" '155r_1',\n",
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" '155v_1',\n",
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" '159v_2',\n",
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" '169r_1',\n",
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" '010r_1',\n",
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" '010r_3',\n",
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" '120v_6',\n",
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" '129r_4',\n",
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" '154v_4']"
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]
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},
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"execution_count": 28,
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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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"roses"
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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": 36,
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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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"[['rose'],\n",
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" ['strawberry plant', 'rose'],\n",
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" ['rose'],\n",
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" ['carnation', 'marigold', 'rose'],\n",
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" ['wheat',\n",
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" 'strawberry',\n",
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" 'carnation',\n",
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" 'capilli veneri',\n",
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" 'moss',\n",
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" 'rose',\n",
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" 'vine'],\n",
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" ['spike lavender', 'rose'],\n",
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" ['rose'],\n",
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" ['ranunculu',\n",
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" 'broom',\n",
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" 'carnation',\n",
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" 'amaranth',\n",
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" 'rose',\n",
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" 'yellow meadow flower',\n",
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" 'palta lupina',\n",
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" 'marigold',\n",
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" 'pansy',\n",
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" 'cornflower'],\n",
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" ['caper plant', 'wheat', 'pansy', 'rose'],\n",
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" ['wheat', 'pansy', 'rose']]"
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]
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},
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"execution_count": 36,
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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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"[manuscript.entries[just_rose[i]].get_prop('plant') for i in range(len(roses))]"
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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": 38,
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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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"['044r_5', '110v_2', '120v_6', '129r_4', '138v_2', '142v_1', '154v_4']"
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]
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},
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"execution_count": 38,
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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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"manuscript.search(plant=['pansy'])"
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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": 39,
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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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"['003v_1',\n",
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" '004v_1',\n",
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" '004v_3',\n",
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" '006v_2',\n",
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" '007r_1',\n",
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" '010r_5',\n",
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" '010v_3',\n",
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" '012v_3',\n",
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" '016r_1',\n",
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" '017r_1',\n",
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" '022v_1',\n",
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" '023r_1',\n",
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" '023v_1',\n",
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" '024v_1',\n",
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" '028v_1',\n",
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" '030r_2',\n",
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" '032v_3',\n",
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" '036v_3',\n",
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" '037r_3',\n",
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" '039r_2',\n",
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" '048v_1',\n",
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" '049r_1',\n",
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" '050v_2',\n",
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" '053r_2',\n",
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" '057v_1',\n",
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" '063r_3',\n",
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" '067v_1',\n",
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" '068r_3',\n",
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" '072r_2',\n",
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" '072v_1',\n",
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" '073r_5',\n",
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" '076v_4',\n",
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" '078v_1',\n",
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" '081r_3',\n",
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" '081v_2',\n",
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" '081v_4',\n",
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" '082r_2',\n",
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" '082v_4',\n",
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" '085v_4',\n",
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" '087v_3',\n",
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" '088r_2',\n",
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" '092v_2',\n",
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" '094r_1',\n",
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" '097r_2',\n",
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" '098r_2',\n",
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" '098r_3',\n",
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" '098v_5',\n",
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" '101r_1',\n",
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" '104r_2',\n",
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" '105v_4',\n",
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" '106r_2',\n",
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" '106v_1',\n",
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" '110v_2',\n",
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" '112v_1',\n",
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" '118v_1',\n",
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" '',\n",
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" '125r_2',\n",
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" '126v_3',\n",
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" '129v_1',\n",
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" '133r_3',\n",
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" '134r_1',\n",
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" '136v_1',\n",
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" '139r_1',\n",
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" '141r_1',\n",
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" '144r_1',\n",
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" '145v_1',\n",
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" '146v_1',\n",
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" '148r_2',\n",
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" '148r_4',\n",
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" '149r_1',\n",
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" '149r_3',\n",
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" '150v_1',\n",
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" '151v_1',\n",
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" '152r_1',\n",
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" '152v_1',\n",
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" '155v_1',\n",
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" '156v_1',\n",
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" '160r_1',\n",
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" '161v_1',\n",
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" '165v_1',\n",
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" '167r_1',\n",
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" '169r_1']"
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]
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},
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"execution_count": 39,
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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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"manuscript.search(material=['iron'])"
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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": null,
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"metadata": {},
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"outputs": [],
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.7.4 64-bit",
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"language": "python",
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"name": "python37464bitd1f438d1876f44549e9f31c994f2ef25"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎vocabulary_abstraction.ipynb ‎jupyter notebooks/vocabulary_abstraction.ipynb

File renamed without changes.

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