{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "series = 'J2482'" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ], "text/vnd.plotly.v1+html": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "import pandas as pd\n", "import series_details\n", "import plotly.offline as py\n", "py.init_notebook_mode()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(os.path.join('data', '{}.csv'.format(series.replace('/', '-'))), parse_dates=['start_date', 'end_date'])" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "

National Archives of Australia: Series J2482

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "

Certificates of Domicile issued under The Immigration Restriction Act 1901 and Regulations, annual single number series

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Total items799
Access status
Open799 (100.00%)
Number of items digitised798 (99.87%)
Number of pages digitised3,153
Date of earliest content1902
Date of latest content1912

Download the complete CSV file

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "series_details.display_summary(series, df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Content preview" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
identifierseriescontrol_symboltitlecontents_datesstart_dateend_dateaccess_statuslocationdigitised_statusdigitised_pages
05049001J24821904/103Sheong Fook of Geraldton [Innisfail], Qld - birthplace: Canton, China - departed Geraldton [Innisfail], Queensland on the Empire 7 September 19041904 - 19041904-01-01 00:00:001904-01-01 00:00:00OpenBrisbaneTrue4
15049002J24821904/104Ah Gee of Macnade near Dungeness, Qld - birthplace: Canton, China - departed Dungeness, Queensland on the Tsinan 26 June 19041904 - 19041904-01-01 00:00:001904-01-01 00:00:00OpenBrisbaneTrue3
25049003J24821904/105Ah Yeen of Johnstone near Geraldton [Innisfail] - birthplace: Canton, China - departed Geraldton [Innisfail], Queensland on the Tsinan 25 June 19041904 - 19041904-01-01 00:00:001904-01-01 00:00:00OpenBrisbaneTrue4
35049004J24821904/106Khardin of Hambleton, Cairns, Qld - birthplace: Punjaub, India - departed Cairns, Queensland 28 August 19081904 - 19081904-01-01 00:00:001908-01-01 00:00:00OpenBrisbaneTrue5
45049005J24821904/108Yep Fat of Junda, Qld - birthplace: Canton, China - departed Brisbane on the Tsinan 20 June 19041904 - 19041904-01-01 00:00:001904-01-01 00:00:00OpenBrisbaneTrue4
" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Change the number_of_rows value to see more\n", "number_of_rows = 5\n", "\n", "# Display dataframe \n", "df[:number_of_rows].style.set_properties(['title'], **{'text-align': 'left'}).set_table_styles([dict(selector=\"th\", props=[(\"text-align\", \"center\")]),\n", " dict(selector='.row_heading, .blank', props=[('display', 'none')])])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot content dates" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "data": [ { "name": "Digitised", "type": "bar", "x": [ 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912 ], "y": [ 53, 164, 272, 351, 113, 9, 7, 2, 1, 1, 1 ] }, { "name": "Not digitised", "type": "bar", "x": [ 1905 ], "y": [ 1 ] } ], "layout": { "barmode": "stack", "title": "Content dates", "xaxis": { "title": "Year" }, "yaxis": { "title": "Number of items" } } }, "text/html": [ "
" ], "text/vnd.plotly.v1+html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = series_details.plot_dates(df)\n", "py.iplot(fig, filename='series-dates-bar')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## View word frequencies" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Combine all of the file titles into a single string\n", "title_text = a = df['title'].str.lower().str.cat(sep=' ')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
wordcount
9queensland950
5birthplace745
8departed730
7china722
6canton636
27cairns402
4qld375
661905269
14ah259
131904226
36brisbane207
46townsville173
126australian163
2geraldton156
99island145
106thursday140
83eastern136
10empire130
6351903120
85november100
17near98
58190697
74december97
3innisfail96
206january78
" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "series_details.display_word_counts(title_text)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ngramcount
0china departed690
1on the678
2canton china636
3birthplace canton635
4queensland on587
5qld birthplace375
6queensland birthplace318
7cairns queensland258
8departed cairns221
9the australian163
10brisbane queensland160
11townsville queensland141
12thursday island140
13the eastern136
14departed brisbane131
15the empire130
16cairns qld109
17departed townsville108
18geraldton innisfail96
19of cairns82
20of geraldton82
21near cairns81
22departed geraldton73
23departed thursday72
241905 ah68
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Change ngram_count for larger ngrams (trigrams etc)\n", "ngram_count = 2\n", "series_details.display_top_ngrams(title_text, ngram_count)" ] }, { "cell_type": "code", "execution_count": 10, "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": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }