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Summary

Description
English: Population of South-Kanto Prefectures, Japan
* South-Kanto : Tokyo,Saitama,Chiba,Kanagawa
Date
Source Own work, Data from Statistics Bureau of Japan 人口推計
Author Yuasan
Permission
(Reusing this file)
CC-0

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Graph Data

import matplotlib as mpl
import matplotlib.ticker as ticker
import matplotlib.pyplot as plt
from cycler import cycler
import pandas as pd

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t").T

fig, ax = plt.subplots(figsize=(10, 5))
mpl.rcParams['axes.xmargin'] = 0.02
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Display']

plt.subplots_adjust(left=0.08, bottom=0.08, right=0.96, top=0.91)

ax.plot(df)
ax.legend(df.columns, fontsize=12, ncol=2, loc='upper left',  frameon=True, facecolor="#dddddd")
ax.grid(which="both")
ax.set_axisbelow(True)
ax.fill_between( df.index ,0, df["Total"].values,  color="lightblue", alpha=0.5)

plt.title("Population of South-Kanto Prefectures, Japan (Statistics Bureau of Japan)", fontsize=16)
plt.tick_params(labelsize=9, pad=4)
plt.ylim([0,40000])

ax.xaxis.set_major_locator(ticker.MultipleLocator(2))
plt.xticks(rotation=35, fontsize=7)
plt.ylabel("1000 person", fontsize=10)
plt.yticks(fontsize=9)

plt.minorticks_on()
plt.grid(which='major',color='#eeeeee',linestyle='-', axis="x")
plt.grid(which='minor', linestyle='None', axis="x")
plt.grid(which='major',color='#bbbbbb',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='-', axis="y")

plt.savefig("image.svg")
	1920	1921	1922	1923	1924	1925	1926	1927	1928	1929	1930	1931	1932	1933	1934	1935	1936	1937	1938	1939	1940	1941	1942	1943	1944	1945	1946	1947	1948	1949	1950	1951	1952	1953	1954	1955	1956	1957	1958	1959	1960	1961	1962	1963	1964	1965	1966	1967	1968	1969	1970	1971	1972	1973	1974	1975	1976	1977	1978	1979	1980	1981	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020
Total	7678	7855.5	8060.4	7963.1	8334.8	8695	8977.6	9244.8	9513.5	9774.6	9958	10133.3	10427	10714.8	10994.6	11285	11593.8	11788.7	11988.7	12265.6	12586	12613	12819.4	13026.2	13052	9368	10241	11432	12018	12543.5	13051	13616	14141	14627	15044	15424	15851	16315	16797	17310	17864	18426	19041	19683	20344	21017	21557	22193	22834	23472	24113	24818	25480	26065	26576	27042	27415	27758	28103	28413	28697	29002	29315	29632	29950	30273	30614	30949	31265	31549	31796	32047	32249	32386	32473	32577	32708	32880	33066	33214	33418	33687	33905	34148	34328	34479	34713	34985	35227	35395	35618	35684	35720	35820	35958	36131	36328	36506	36682	36856	36914
Saitama	1320	1330.3	1341.1	1367.7	1380	1394	1412.1	1424.9	1437.6	1446.8	1459	1472.8	1484.7	1498.6	1512.2	1529	1534.1	1540.9	1545.9	1552.6	1583	1580.7	1603.8	1635.1	1648	2047	2029	2100	2112.5	2128.8	2146	2167	2190	2213	2237	2263	2286	2310	2339	2378	2431	2497	2588	2718	2864	3015	3161	3328	3492	3670	3866	4062	4266	4475	4658	4821	4964	5091	5208	5318	5420	5520	5615	5700	5784	5864	5954	6071	6195	6308	6405	6486	6567	6640	6703	6759	6804	6841	6877	6906	6938	6977	7000	7028	7046	7054	7079	7106	7136	7161	7195	7209	7216	7228	7247	7267	7288	7307	7325	7342	7345
Chiba	1336	1335.5	1354.3	1382.1	1395.7	1399	1417.2	1426.6	1436.3	1447	1470	1487.6	1502	1517.8	1531.7	1546	1549.7	1554.4	1558.1	1557.3	1561	1556.8	1569.8	1620.9	1659	1967	2009	2113	2123	2121.5	2139	2147	2161	2175	2185	2205	2218	2233	2256	2278	2306	2356	2428	2505	2609	2702	2783	2903	3032	3195	3367	3524	3677	3844	4007	4149	4267	4382	4508	4626	4735	4834	4923	5005	5079	5148	5219	5307	5403	5487	5555	5617	5679	5731	5767	5798	5817	5839	5867	5893	5926	5970	5998	6030	6047	6056	6084	6119	6153	6180	6216	6217	6200	6201	6209	6223	6242	6258	6273	6283	6284
Tokyo	3699	3830.7	3984.2	3859.4	4185.5	4485	4694.4	4897.4	5101.4	5300	5409	5521.1	5755.6	5975.1	6176.9	6370	6586.5	6725.7	6875.6	7081.6	7284	7284.3	7357.8	7332.6	7271	3488	4183	5001	5474.8	5896.3	6278	6712	7109	7469	7774	8037	8349	8681	9011	9349	9684	9967	10224	10470	10668	10869	11018	11162	11286	11367	11408	11520	11611	11639	11647	11674	11674	11669	11659	11637	11618	11626	11650	11700	11759	11829	11888	11887	11873	11863	11856	11894	11887	11849	11796	11774	11808	11881	11939	11983	12064	12165	12271	12388	12482	12577	12704	12848	12973	13048	13159	13198	13234	13307	13399	13515	13646	13768	13887	14007	14048
Kanagawa	1323	1359	1380.8	1353.9	1373.6	1417	1453.9	1495.9	1538.2	1580.8	1620	1651.8	1684.7	1723.3	1773.8	1840	1923.5	1967.7	2009.1	2074.1	2158	2191.2	2288	2437.6	2474	1866	2020	2218	2307.7	2396.9	2488	2590	2681	2770	2848	2919	2998	3091	3191	3305	3443	3606	3801	3990	4203	4431	4595	4800	5024	5240	5472	5712	5926	6107	6264	6398	6510	6616	6728	6832	6924	7022	7127	7227	7328	7432	7553	7684	7794	7891	7980	8050	8116	8166	8207	8246	8279	8319	8383	8432	8490	8575	8636	8702	8753	8792	8846	8912	8965	9006	9048	9060	9070	9084	9103	9126	9152	9173	9197	9224	9237
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Captions

Population of South-Kanto Prefectures, Japan

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8 April 2023

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Date/TimeThumbnailDimensionsUserComment
current04:02, 9 April 2023Thumbnail for version as of 04:02, 9 April 2023900 × 450 (149 KB)Yuasanstretch
06:21, 8 April 2023Thumbnail for version as of 06:21, 8 April 2023900 × 450 (153 KB)YuasanUploaded own work with UploadWizard

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