File:Consumer price indexes of Japan, COICOP 2018.svg

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Original file(SVG file, nominally 1,080 × 720 pixels, file size: 156 KB)

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Consumer price indexes of Japan, COICOP 2018
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Summary[edit]

Description
English: Consumer price indexes of Japan, COICOP 2018
Date
Source Own work, Data from OECD stat.
https://stats.oecd.org/Index.aspx?DataSetCode=PRICES_CPI
Author Yuasan
Permission
(Reusing this file)
CC-0

Licensing[edit]

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[edit]

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

df = pd.read_csv("data.tsv", index_col=0 , sep = "\t")
df = df.T
df1 = df.reindex(columns=['All items'])

fig, ax = plt.subplots(figsize=(12, 8))
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans']

plt.subplots_adjust(left=0.07, bottom=0.15, right=0.96, top=0.93)

ax.set_prop_cycle( plt.rcParams['axes.prop_cycle'] ) 
ax.plot(df)
ax.fill_between( df1.index ,0, df1["All items"].values,  color="lightblue", alpha=0.5)
ax.set_axisbelow(True)
ax.legend(df.columns, fontsize=12, ncol=4, loc='center' ,bbox_to_anchor=(0, -0.23, 1, 0.24) )

plt.title("Consumer price index of Japan, COICOP 2018 (OECD)", fontsize=18)
plt.tick_params(labelsize=9, pad=4)
plt.ylabel("index, 2015=100", fontsize=13)
plt.xticks(df.index, rotation=60, fontsize=7)
plt.yticks(fontsize=13)
plt.ylim([10,110])

plt.minorticks_on()
plt.grid(which='major',color='#999999',linestyle='-', axis="y")
plt.grid(which='minor',color='#eeeeee',linestyle='-', axis="y")

plt.savefig("image.svg")

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Date/TimeThumbnailDimensionsUserComment
current12:18, 21 December 2022Thumbnail for version as of 12:18, 21 December 20221,080 × 720 (156 KB)Yuasan (talk | contribs)Uploaded own work with UploadWizard

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